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About Fractile Fractile was founded in 2022 on the bet that, eventually, the world's most capable AI systems would be limited in their impact by the time taken to produce useful outputs. We bet everything on the logical conclusion: that the only way to truly unlock this latent value, to make speed viable at scale, was to radically re-invent the hardware that we run our frontier AI models on. Ever since, we have been building chips and systems that tackle this problem: how to efficiently generate output at thousands of tokens per second, while handling the complexity and capacity challenges of operating large models at very long contexts. The workloads that push to the limits of the current frontier are already transformational; it is the technical and economic limits on inference speed that are constraining progress. The defining work of the 21st century will be marked by the engine of inference delivering immense and diffuse chains of intellectual inquiry, in drug discovery, in software engineering, in materials discovery, in any field where progress is driven by deep reasoning and intelligence to resolve complex problems. About the Software organisation at Fractile PerfSim sits within the Software organisation at Fractile, which is responsible for developing a full software stack for our groundbreaking AI inference systems. That's everything from ML compilers, device drivers and systems firmware, application level runtime and ecosystem integrations, ML and compute libraries, great developer tooling and a full portfolio of simulators, through to datacenter scale workload deployment solutions. At Fractile, we know that a fantastic software stack is a critical and central part of any AI inference solution and it sits at the heart of everything we're doing. About the team and role To build hardware that doesn't yet exist, you first have to model it — with precision, depth, and an eye for the trade-offs that matter. At Fractile, high-fidelity pre-silicon models shape our architecture, performance, and product design long before hardware exists. The Simulation team includes C++ and SystemC specialists, verification and validation engineers, system architects, and embedded engineers. This is not a support function — it is the group that defines how Fractile's hardware behaves. As a Modelling Engineer you will develop the pre-silicon models of Fractile's AI acceleration hardware, enabling architectural exploration and definition, functional modelling, performance modelling and bottleneck analysis, and early software development on virtual platforms. You will work closely with hardware, software, and ML teams in a true hardware–software co-design loop. About you You have a genuine curiosity for hard problems and the depth to operate across architecture, performance, and functional correctness. You understand that the models you build will shape the architecture of Fractile's accelerator, determine performance trade-offs, enable early runtime and compiler development, unblock software teams months before silicon exists, and reduce risk across the entire product lifecycle. You take that responsibility seriously and bring the rigour it demands. Key Requirements Experience in pre-silicon modelling of complex semiconductor IP SystemC or equivalent modelling frameworks C++ for high-performance simulation Performance modelling and architectural analysis Verification and functional modelling Nice to Have Experience with ML workloads or ML accelerator architectures Prior startup or small-team experience What We Offer Competitive salary: A competitive salary reflective of your experience and the specialist nature of the role. Equity & Ownership: meaningful equity so everyone shares in the value creation Benefits: Private Medical, Dental and Vision, Contributory Pension, 25 Days holiday plus bank holidays and Life/Critical Illness Insurance. Diverse & fun office: we believe the hardest problems get solved by the broadest range of minds. We are committed to Equal Employment Opportunity through attracting and retaining a diverse team and building an inclusive environment. Fractile is seeking to increase the clock speed of global progress, one chip at a time. We've recently raised $220M from investors including Founders Fund and Accel and our most important work lies ahead. Join us! Export controls Our work involves technologies subject to UK, US and other international export control regulations. Certain roles may require additional eligibility checks to ensure compliance with applicable law. We'll be transparent about this throughout the hiring process. Find more English Speaking Jobs in United Kingdom on Arbeitnow

About Fractile Fractile was founded in 2022 on the bet that, eventually, the world's most capable AI systems would be limited in their impact by the time taken to produce useful outputs. We bet everything on the logical conclusion: that the only way to truly unlock this latent value, to make speed viable at scale, was to radically re-invent the hardware that we run our frontier AI models on. Ever since, we have been building chips and systems that tackle this problem: how to efficiently generate output at thousands of tokens per second, while handling the complexity and capacity challenges of operating large models at very long contexts. The workloads that push to the limits of the current frontier are already transformational; it is the technical and economic limits on inference speed that are constraining progress. The defining work of the 21st century will be marked by the engine of inference delivering immense and diffuse chains of intellectual inquiry, in drug discovery, in software engineering, in materials discovery, in any field where progress is driven by deep reasoning and intelligence to resolve complex problems. Key Responsibilities Own and define the DFT architecture for a large AI accelerator SoC (scan, compression, MBIST, LBIST, boundary scan) Set DFT strategy, methodology, flow and signoff criteria Drive integration of DFT tools and flows into the overall EDA environment Define hierarchical DFT approach for multi-core designs and large memory systems Define scan architecture, compression strategy, and ATPG approach Define memory test and repair strategy for large embedded RAM Establish power-aware and at-speed test strategies Work closely with RTL and physical design to ensure clean DFT integration and timing closure Work with test and product engineering teams to bring up and debug ATPG patterns on ATE, supporting production test and yield ramp Mentor and guide DFT engineers Required Experience Strong experience in DFT for complex ASIC/SoC designs (typically 8+ years) Proven ownership of DFT architecture on at least one large tapeout Deep expertise in scan, compression, ATPG, and MBIST Experience with industry tools (Synopsys or Tessent) Strong understanding of clocking, resets, power domains, and physical constraints Experience with silicon bring-up, debug, and yield ramp Profile Comfortable owning ambiguous, high-impact problems Balances architectural thinking with hands-on execution Sets direction while staying close to implementation details What We Offer Competitive salary: A competitive salary reflective of your experience and the specialist nature of the role. Equity & Ownership: meaningful equity so everyone shares in the value creation Benefits: Private Medical, Dental and Vision, Contributory Pension, 25 Days holiday plus bank holidays and Life/Critical Illness Insurance. Diverse & fun office: we believe the hardest problems get solved by the broadest range of minds. We are committed to Equal Employment Opportunity through attracting and retaining a diverse team and building an inclusive environment. Fractile is seeking to increase the clock speed of global progress, one chip at a time. We've recently raised $220M from investors including Founders Fund and Accel and our most important work lies ahead. Join us! Export controls Our work involves technologies subject to UK, US and other international export control regulations. Certain roles may require additional eligibility checks to ensure compliance with applicable law. We'll be transparent about this throughout the hiring process. Find more English Speaking Jobs in United Kingdom on Arbeitnow

About Fractile Fractile was founded in 2022 on the bet that, eventually, the world's most capable AI systems would be limited in their impact by the time taken to produce useful outputs. We bet everything on the logical conclusion: that the only way to truly unlock this latent value, to make speed viable at scale, was to radically re-invent the hardware that we run our frontier AI models on. Ever since, we have been building chips and systems that tackle this problem: how to efficiently generate output at thousands of tokens per second, while handling the complexity and capacity challenges of operating large models at very long contexts. The workloads that push to the limits of the current frontier are already transformational; it is the technical and economic limits on inference speed that are constraining progress. The defining work of the 21st century will be marked by the engine of inference delivering immense and diffuse chains of intellectual inquiry, in drug discovery, in software engineering, in materials discovery, in any field where progress is driven by deep reasoning and intelligence to resolve complex problems. Key Responsibilities: Create and support Python tooling and silicon verification and physical design workflows centred around silicon EDA tooling, which will require coding and build-system knowledge to assist with tasks faced by different teams. Bazel build system support for new silicon EDA tools required for throughout the chip lifecycle Create and improve Python developer tools across frontend and backend silicon teams Improve existing workflows to make them cacheable and reproducible Work with the engineering team to build and optimise their workloads It would be great if you have: Experience of silicon EDA tooling Experience working with build systems tooling, such as Bazel. Experience working with workload management tools, such as Slurm. Experience working with container orchestration tools, such as Docker, and Kubernetes. Experience working with infrastructure as code, such as Ansible, or Terraform and maintaining compute infrastructure Experience of setup and monitor observation tooling for resource utilisation, machine failures, and more (e.g. Prometheus/Zabbix) Preferred Qualifications: Proficient in modern software development language(s) especially Python Proficient dealing with modern build systems e.g. Bazel, Pants Past experience with diagnosing and resolving network/storage/CPU/RAM bottlenecks across complex workloads. Experience deploying and managing a grid compute system (Slurm/LSF/SGE). Proficiency with containerisation frameworks (Docker/Singularity) What We Offer Competitive salary: A competitive salary reflective of your experience and the specialist nature of the role. Equity & Ownership: meaningful equity so everyone shares in the value creation Benefits: Private Medical, Dental and Vision, Contributory Pension, 25 Days holiday plus bank holidays and Life/Critical Illness Insurance. Diverse & fun office: we believe the hardest problems get solved by the broadest range of minds. We are committed to Equal Employment Opportunity through attracting and retaining a diverse team and building an inclusive environment. Fractile is seeking to increase the clock speed of global progress, one chip at a time. We've recently raised $220M from investors including Founders Fund and Accel and our most important work lies ahead. Join us! Export controls Our work involves technologies subject to UK, US and other international export control regulations. Certain roles may require additional eligibility checks to ensure compliance with applicable law. We'll be transparent about this throughout the hiring process. Find more English Speaking Jobs in United Kingdom on Arbeitnow

About Fractile Fractile was founded in 2022 on the bet that, eventually, the world's most capable AI systems would be limited in their impact by the time taken to produce useful outputs. We bet everything on the logical conclusion: that the only way to truly unlock this latent value, to make speed viable at scale, was to radically re-invent the hardware that we run our frontier AI models on. Ever since, we have been building chips and systems that tackle this problem: how to efficiently generate output at thousands of tokens per second, while handling the complexity and capacity challenges of operating large models at very long contexts. The workloads that push to the limits of the current frontier are already transformational; it is the technical and economic limits on inference speed that are constraining progress. The defining work of the 21st century will be marked by the engine of inference delivering immense and diffuse chains of intellectual inquiry, in drug discovery, in software engineering, in materials discovery, in any field where progress is driven by deep reasoning and intelligence to resolve complex problems. We are looking for a highly motivated and experienced RTL Design Engineer to join our dynamic team. In this role, you will play a key part in the design and implementation of digital systems, contributing to every stage of the project lifecycle. Your work will involve developing and optimising Register Transfer Level (RTL) designs for high-performance and power-efficient systems RTL Development and Implementation: Develop and maintain RTL specifications for digital designs, ensuring clarity and accuracy. Implement complex design modules with a focus on performance, power, and area efficiency. Take ownership of design tasks, including planning, execution, and delivery of work packages. Define design tasks for the project, including partitioning, interface specifications, and module definitions. Collaborate with verification engineers to ensure functional correctness through simulation and formal verification. Cross-Functional Collaboration: Work closely with physical design engineers, and verification teams to ensure seamless integration of the design. Documentation and Standards Compliance: Document RTL design methodologies, module interfaces, and functional requirements. Ensure adherence to coding standards, best practices, and maintainability guidelines. Qualifications and Skills: Education: Bachelor's, Master's, or Ph.D. in Electrical Engineering, Computer Engineering, or a related field. Experience: 6+ years of experience in digital design, RTL development, or related roles. Proven expertise in developing RTL designs for high-performance systems. Familiarity with advanced digital design concepts, such as pipelining, clock-domain crossing, and power gating. Experience with high-speed or low-power design methodologies. Soft Skills: Strong analytical and problem-solving skills. Effective communication and collaboration abilities in cross-functional teams. A detail-oriented approach with a focus on quality and efficiency. How we work Ownership and execution: you will have full agency to drive your work forward Rapid iteration: we all work directly with top leadership to move from idea to hardware on ambitious timelines Full-stack engagement: hardware, software, silicon, and modelling teams all work closely together to create a product with generational impact Optimistic and pragmatic: we possess the will to win, and to do the hard work to get us there Team player mentality: the mission is bigger than any of us, and we have the curiosity and technical focus to see the best idea shipped, no matter who's it is What We Offer Competitive salary: A competitive salary reflective of your experience and the specialist nature of the role. Equity & Ownership: meaningful equity so everyone shares in the value creation Benefits: Private Medical, Dental and Vision, Contributory Pension, 25 Days holiday plus bank holidays and Life/Critical Illness Insurance. Diverse & fun office: we believe the hardest problems get solved by the broadest range of minds. We are committed to Equal Employment Opportunity through attracting and retaining a diverse team and building an inclusive environment. Fractile is seeking to increase the clock speed of global progress, one chip at a time. We've recently raised $220M from investors including Founders Fund and Accel and our most important work lies ahead. Join us! Export controls Our work involves technologies subject to UK, US and other international export control regulations. Certain roles may require additional eligibility checks to ensure compliance with applicable law. We'll be transparent about this throughout the hiring process. Find more English Speaking Jobs in United Kingdom on Arbeitnow

About Fractile Fractile was founded in 2022 on the bet that, eventually, the world's most capable AI systems would be limited in their impact by the time taken to produce useful outputs. We bet everything on the logical conclusion: that the only way to truly unlock this latent value, to make speed viable at scale, was to radically re-invent the hardware that we run our frontier AI models on. Ever since, we have been building chips and systems that tackle this problem: how to efficiently generate output at thousands of tokens per second, while handling the complexity and capacity challenges of operating large models at very long contexts. The workloads that push to the limits of the current frontier are already transformational; it is the technical and economic limits on inference speed that are constraining progress. The defining work of the 21st century will be marked by the engine of inference delivering immense and diffuse chains of intellectual inquiry, in drug discovery, in software engineering, in materials discovery, in any field where progress is driven by deep reasoning and intelligence to resolve complex problems. About the role Based in the UK you will be a key member of the Manufacturing Operations team where you will drive the development of our business management systems as well as our product, supplier, software and customer quality initiatives. You will be comfortable with assessing processes and technologies to identify quality gaps and provide robust but pragmatic solutions to drive all aspects of the business in achieving the highest levels of quality and resilience. Key responsibilities Define and deliver the company quality strategy, policy and objectives, aligned to the product roadmap and growth plan. Build, lead and develop a quality team covering supplier, product, reliability, software and systems quality. Define and report quality performance to the executive team. Establish appropriate document control, change control, CAPA, internal audit, training and records processes that scale with a fast-growing fabless company. Work with PMO to embed quality gates into the new product introduction (NPI) and product lifecycle process, from concept through end of life. Own quality across the supply chain: wafer foundry, assembly and packaging, wafer and final test, PCB/PCBA and system-level contract manufacturers. Lead supplier selection, qualification, audits and ongoing performance management, including scorecards and quarterly business reviews. Work with engineering leaders to define software quality standards across drivers, firmware, compilers, SDKs and runtime. Establish release criteria, test coverage expectations, defect management and regression processes, aligned with CI/CD practice. Bring in secure development and software supply chain practice, including SBOMs and vulnerability management. Support responsible AI and AI management practice where customers ask for it, including awareness of ISO/IEC 42001. Be the senior point of contact for customer quality, audits and escalations. Lead customer RMA and complaint handling, root cause analysis and 8D responses to agreed timelines. Ensure product compliance with RoHS, REACH, WEEE, conflict minerals reporting, UKCA and CE marking, and relevant safety and EMC standards. Essential experience and skills Significant experience in quality roles in semiconductors or electronics hardware, including creating and leading a quality function or team. Direct experience managing quality through outsourced manufacturing: foundries, OSATs, test houses and/or contract manufacturers. Deep knowledge of ISO 9001 and hands-on experience building or running a certified QMS. Working knowledge of semiconductor qualification and reliability (JEDEC), failure analysis and Awareness of data centre RAS assessments and HPC system qualification and certification. Fluency in core quality tools: 8D, FMEA, control plans, SPC, MSA and root cause analysis. Experience handling customer quality escalations with large, demanding customers. Degree in electrical or electronic engineering, materials science, physics or a related discipline. Clear, confident communicator who can influence engineers, suppliers and executives, and hold partners to account. Willing to travel internationally, including to Asia and US, for supplier audits and customer quality reviews. Desirable Experience in a fabless company, particularly one bringing an initial product to volume. Background in high-performance compute, data centre, networking or AI hardware. Exposure to software quality, release management or secure development practice. Lead auditor certification (ISO 9001), Six Sigma Black Belt, or chartered status (for example CQI or IET). Experience working with suppliers in Taiwan, South Korea or US. The impact you will have You will help Fractile to makes sure every one of our suppliers builds to our standard, and that our customers receive AI hardware and software they can trust in production whilst shaping the quality culture across engineering, operations and commercial teams. What We Offer Competitive salary: A competitive salary reflective of your experience and the specialist nature of the role. Equity & Ownership: meaningful equity so everyone shares in the value creation Benefits: Private Medical, Dental and Vision, Contributory Pension, 25 Days holiday plus bank holidays and Life/Critical Illness Insurance. Diverse & fun office: we believe the hardest problems get solved by the broadest range of minds. We are committed to Equal Employment Opportunity through attracting and retaining a diverse team and building an inclusive environment. Fractile is seeking to increase the clock speed of global progress, one chip at a time. We've recently raised $220M from investors including Founders Fund and Accel and our most important work lies ahead. Join us! Export controls Our work involves technologies subject to UK, US and other international export control regulations. Certain roles may require additional eligibility checks to ensure compliance with applicable law. We'll be transparent about this throughout the hiring process. Find Jobs in United Kingdom on Arbeitnow

About Fractile Fractile was founded in 2022 on the bet that, eventually, the world's most capable AI systems would be limited in their impact by the time taken to produce useful outputs. We bet everything on the logical conclusion: that the only way to truly unlock this latent value, to make speed viable at scale, was to radically re-invent the hardware that we run our frontier AI models on. Ever since, we have been building chips and systems that tackle this problem: how to efficiently generate output at thousands of tokens per second, while handling the complexity and capacity challenges of operating large models at very long contexts. The workloads that push to the limits of the current frontier are already transformational; it is the technical and economic limits on inference speed that are constraining progress. The defining work of the 21st century will be marked by the engine of inference delivering immense and diffuse chains of intellectual inquiry, in drug discovery, in software engineering, in materials discovery, in any field where progress is driven by deep reasoning and intelligence to resolve complex problems. Summary We are seeking an experienced Semiconductor Product Engineer to lead the development and deployment of manufacturing test solutions for next-generation AI accelerator devices. This role spans the full silicon lifecycle from first silicon bring-up through high-volume production, with responsibility for defining test strategy, developing ATE test content, debugging complex silicon issues, and optimizing yield, coverage, and test cost. The ideal candidate will bring deep expertise in DFT methodologies, high-speed interface testing, and advanced CMOS manufacturing, and will work closely with design, DFT, packaging, and manufacturing partners to ensure robust, scalable production of high-performance compute silicon. Key Responsibilities Define and develop test methods and strategies for an AI accelerator chip targeting high-volume manufacturing. Plan and manage manufacturing test content for advanced CMOS designs including high-speed logic, SRAM, DRAM, and high speed IO blocks. Develop and debug structural and functional test content such as scan/ATPG, LBIST, MBIST, JTAG, and HSIO tests. Bring up first silicon on ATE, including pattern debug, tester correlation, shmooing, and corner analysis. Support testing of high-speed interfaces such as PCIe Gen6 and multi-GHz LPDDR, including at-speed tests and margining features. Execute silicon characterization and failure analysis to identify yield limiters and defect mechanisms. Optimize test coverage, test time, and cost while maintaining manufacturing robustness. Work with DFT and design teams to improve testability and close coverage gaps. Collaborate with OSATs and external partners on test program deployment. Support advanced packaging test flows, including die-to-die interconnect testing and package-level thermal considerations. Contribute to documentation of test programs, debug procedures, and manufacturing release materials. Support qualification, reliability testing, and high-volume manufacturing ramp. Required Qualifications 5+ years of hands-on semiconductor test engineering experience. Experience developing ATE test programs (Advantest 93K, Teradyne, or similar). Solid understanding of DFT methodologies (scan, ATPG, MBIST, LBIST) and memory test techniques. Experience debugging silicon issues and correlating failures to design or process causes. Familiarity with advanced CMOS nodes and production test challenges. Ability to work effectively in a cross-functional engineering environment. Preferred Qualifications Experience testing AI accelerators, GPUs, networking ASICs, or other high-performance compute ICs. Experience with PCIe Gen5/Gen6, LPDDR4/5/6, or other high-speed interfaces. Exposure to advanced packaging, chiplets, or multi-die test flows. Experience improving yield, reducing test time, or optimizing cost in high-volume manufacturing. How we work Ownership and execution: you will have full agency to drive your work forward Rapid iteration: we all work directly with top leadership to move from idea to hardware on ambitious timelines Full-stack engagement: hardware, software, silicon, and modelling teams all work closely together to create a product with generational impact Optimistic and pragmatic: we possess the will to win, and to do the hard work to get us there Team player mentality: the mission is bigger than any of us, and we have the curiosity and technical focus to see the best idea shipped, no matter who's it is What We Offer Competitive salary: A competitive salary reflective of your experience and the specialist nature of the role. Equity & Ownership: meaningful equity so everyone shares in the value creation Benefits: Private Medical, Dental and Vision, Contributory Pension, 25 Days holiday plus bank holidays and Life/Critical Illness Insurance. Diverse & fun office: we believe the hardest problems get solved by the broadest range of minds. We are committed to Equal Employment Opportunity through attracting and retaining a diverse team and building an inclusive environment. Fractile is seeking to increase the clock speed of global progress, one chip at a time. We've recently raised $220M from investors including Founders Fund and Accel and our most important work lies ahead. Join us! Export controls Our work involves technologies subject to UK, US and other international export control regulations. Certain roles may require additional eligibility checks to ensure compliance with applicable law. We'll be transparent about this throughout the hiring process. Find more English Speaking Jobs in United Kingdom on Arbeitnow

About Fractile Fractile was founded in 2022 on the bet that, eventually, the world's most capable AI systems would be limited in their impact by the time taken to produce useful outputs. We bet everything on the logical conclusion: that the only way to truly unlock this latent value, to make speed viable at scale, was to radically re-invent the hardware that we run our frontier AI models on. Ever since, we have been building chips and systems that tackle this problem: how to efficiently generate output at thousands of tokens per second, while handling the complexity and capacity challenges of operating large models at very long contexts. The workloads that push to the limits of the current frontier are already transformational; it is the technical and economic limits on inference speed that are constraining progress. The defining work of the 21st century will be marked by the engine of inference delivering immense and diffuse chains of intellectual inquiry, in drug discovery, in software engineering, in materials discovery, in any field where progress is driven by deep reasoning and intelligence to resolve complex problems. About the Hardware organisation at Fractile System Architecture sits within the Hardware organisation at Fractile, responsible for designing the chips and systems that power our groundbreaking AI inference accelerator. That's everything from chip-level architecture and interconnects, through board design and thermal management, to full system integration and bring-up. At Fractile, we know that world-class system architecture is the foundation every other part of the stack is built on. About the team and role The System Architecture team at Fractile defines how our hardware comes together — from chip interfaces and interconnects through to board design, thermal management, and system-level integration — working closely with digital design, verification, firmware and software teams to make sure architecture choices translate cleanly into working silicon and reliable hardware platforms. As an Early Career System Architect, you'll support senior architects in defining and refining this architecture, and get hands-on exposure to early prototyping, bring-up, and system testing as ideas become real hardware. About you We're looking for someone early in their career with a strong foundation in digital systems and computer architecture, gained through a degree, internships, or personal projects, who is genuinely curious about how complex hardware systems are taken from concept through to production. You'll be comfortable working across disciplines — hardware, firmware, and software — and keen to learn fast in a fast-moving environment. Key Requirements A degree (or final-year study) in Electronic Engineering, Computer Engineering, Physics, or a related field Exposure to system-level design concepts — power, thermal, I/O, memory, or interconnect architectures — through academic projects, internships, or personal projects Some familiarity with digital design flows, gained through coursework, internships, or personal projects Comfortable working across disciplines — hardware, firmware, and software Strong communicator, able to explain technical ideas clearly to others Desirable: exposure to AI acceleration, HPC, or data-centric architectures; hands-on FPGA prototyping or hardware bring-up; familiarity with SystemC or MATLAB What We Offer Competitive salary: A competitive salary reflective of your experience and the specialist nature of the role. Equity & Ownership: meaningful equity so everyone shares in the value creation Benefits: Private Medical, Dental and Vision, Contributory Pension, 25 Days holiday plus bank holidays and Life/Critical Illness Insurance. Diverse & fun office: we believe the hardest problems get solved by the broadest range of minds. We are committed to Equal Employment Opportunity through attracting and retaining a diverse team and building an inclusive environment. Fractile is seeking to increase the clock speed of global progress, one chip at a time. We've recently raised $220M from investors including Founders Fund and Accel and our most important work lies ahead. Join us! Export controls Our work involves technologies subject to UK, US and other international export control regulations. Certain roles may require additional eligibility checks to ensure compliance with applicable law. We'll be transparent about this throughout the hiring process. Find Jobs in United Kingdom on Arbeitnow

About Fractile Fractile was founded in 2022 on the bet that, eventually, the world's most capable AI systems would be limited in their impact by the time taken to produce useful outputs. We bet everything on the logical conclusion: that the only way to truly unlock this latent value, to make speed viable at scale, was to radically re-invent the hardware that we run our frontier AI models on. Ever since, we have been building chips and systems that tackle this problem: how to efficiently generate output at thousands of tokens per second, while handling the complexity and capacity challenges of operating large models at very long contexts. The workloads that push to the limits of the current frontier are already transformational; it is the technical and economic limits on inference speed that are constraining progress. The defining work of the 21st century will be marked by the engine of inference delivering immense and diffuse chains of intellectual inquiry, in drug discovery, in software engineering, in materials discovery, in any field where progress is driven by deep reasoning and intelligence to resolve complex problems. About the Hardware organisation at Fractile SoC Architecture sits within Fractile's hardware organisation, which owns everything from full-chip architecture definition through memory hierarchies, on-chip interconnects, and the path from early architectural exploration through to tapeout and post-silicon validation. Architecture at Fractile isn't a paper exercise — it's built in constant collaboration with logical design, physical design, and verification teams, so that every architectural decision is grounded in what will actually perform in working silicon. About the team and role As an Early Career SoC Architect, you'll join our architecture team to learn how our compute engines, memory hierarchies, on-chip interconnects and I/O come together into a single coherent chip. Working closely with senior architects and our logical design, physical design, and verification teams, you'll get real exposure to full-chip performance modelling, specification writing, cross-block trade-off analysis, and pre- and post-silicon validation — with experienced architects mentoring you as you build toward owning more of this yourself. About you We're looking for someone with a strong foundational understanding of computer or SoC architecture — built through coursework, personal projects, internships, placements, or research — who's genuinely curious about how compute, memory and interconnect choices trade off against each other at the full-chip level, and eager to learn how to navigate them. You don't need prior industry experience as an SoC Architect; what matters is real hands-on exposure to chip-level or system design, through a final-year project, FPGA build, RISC-V SoC implementation, internship, or research, plus a comfort working across disciplines and a track record of thriving in ambiguity and fast iteration. Key Requirements A degree (BEng, MEng, MSc or equivalent) in Electronic Engineering, Computer Engineering, Computer Science, or a related field — or equivalent practical experience. A solid foundational understanding of SoC or computer architecture, including memory hierarchies, on-chip interconnects, and how compute, memory and I/O blocks integrate into a coherent chip, gained through study, projects, internships, or research. Some exposure to RTL design concepts and how physical design constraints feed back into architectural choices — academic or internship-level experience is fine. Any hands-on exposure to architectural performance modelling tools (gem5, SystemC, or custom cycle-accurate simulators), interconnect/NoC design, compiler/toolchain interactions, or AI acceleration/vector-matrix compute, through study or projects, is highly valued. A clear communicator, comfortable working across architecture, modelling, implementation, verification, and software teams, who thrives in ambiguity and fast iteration. What We Offer Competitive salary: A competitive salary reflective of your experience and the specialist nature of the role. Equity & Ownership: meaningful equity so everyone shares in the value creation Benefits: Private Medical, Dental and Vision, Contributory Pension, 25 Days holiday plus bank holidays and Life/Critical Illness Insurance. Diverse & fun office: we believe the hardest problems get solved by the broadest range of minds. We are committed to Equal Employment Opportunity through attracting and retaining a diverse team and building an inclusive environment. Fractile is seeking to increase the clock speed of global progress, one chip at a time. We've recently raised $220M from investors including Founders Fund and Accel and our most important work lies ahead. Join us! Export controls Our work involves technologies subject to UK, US and other international export control regulations. Certain roles may require additional eligibility checks to ensure compliance with applicable law. We'll be transparent about this throughout the hiring process. Find more English Speaking Jobs in United Kingdom on Arbeitnow

About Fractile Fractile was founded in 2022 on the bet that, eventually, the world's most capable AI systems would be limited in their impact by the time taken to produce useful outputs. We bet everything on the logical conclusion: that the only way to truly unlock this latent value, to make speed viable at scale, was to radically re-invent the hardware that we run our frontier AI models on. Ever since, we have been building chips and systems that tackle this problem: how to efficiently generate output at thousands of tokens per second, while handling the complexity and capacity challenges of operating large models at very long contexts. The workloads that push to the limits of the current frontier are already transformational; it is the technical and economic limits on inference speed that are constraining progress. The defining work of the 21st century will be marked by the engine of inference delivering immense and diffuse chains of intellectual inquiry, in drug discovery, in software engineering, in materials discovery, in any field where progress is driven by deep reasoning and intelligence to resolve complex problems. About the Hardware organisation at Fractile Processor Architecture sits within Fractile's hardware organisation, which owns everything from compute engine definition and ISA design through memory hierarchies, on-chip interconnects, and the path from early architectural exploration through to tapeout and post-silicon validation. Architecture at Fractile isn't a paper exercise — it's built in constant collaboration with logical design, physical design, and verification teams, so that every architectural decision is grounded in what will actually perform in working silicon. About the team and role As an Early Career Processor Architect, you'll join our architecture team to learn how to define the compute engines, ISA definitions and programming models that sit at the heart of our silicon. Working closely with senior architects and our logical design, physical design, and verification teams, you'll get real exposure to performance modelling, specification writing, bottleneck analysis, and pre- and post-silicon validation — with experienced architects mentoring you as you build toward owning more of this yourself. About you We're looking for someone with a strong foundational understanding of computer or processor architecture — built through coursework, personal projects, internships, placements, or research — who's genuinely curious about performance and power trade-offs and eager to learn how to navigate them. You don't need prior industry experience as a Processor Architect; what matters is real hands-on exposure to processor or accelerator design, through a final-year project, FPGA build, RISC-V implementation, internship, or research, plus a comfort working across disciplines and a track record of thriving in ambiguity and fast iteration. Key Requirements A degree (BEng, MEng, MSc or equivalent) in Electronic Engineering, Computer Engineering, Computer Science, or a related field — or equivalent practical experience. A solid foundational understanding of computer/processor architecture, including matrix- and vector-centric floating-point arithmetic and memory hierarchies, gained through study, projects, internships, or research. Some exposure to RTL design concepts and how physical design constraints feed back into architectural choices — academic or internship-level experience is fine. Any hands-on exposure to architectural performance modelling tools (gem5, SystemC, or custom cycle-accurate simulators), compiler/toolchain interactions, or AI acceleration/vector-matrix compute, through study or projects, is highly valued. A clear communicator, comfortable working across architecture, modelling, implementation, verification, and software teams, who thrives in ambiguity and fast iteration. What We Offer Competitive salary: A competitive salary reflective of your experience and the specialist nature of the role. Equity & Ownership: meaningful equity so everyone shares in the value creation Benefits: Private Medical, Dental and Vision, Contributory Pension, 25 Days holiday plus bank holidays and Life/Critical Illness Insurance. Diverse & fun office: we believe the hardest problems get solved by the broadest range of minds. We are committed to Equal Employment Opportunity through attracting and retaining a diverse team and building an inclusive environment. Fractile is seeking to increase the clock speed of global progress, one chip at a time. We've recently raised $220M from investors including Founders Fund and Accel and our most important work lies ahead. Join us! Export controls Our work involves technologies subject to UK, US and other international export control regulations. Certain roles may require additional eligibility checks to ensure compliance with applicable law. We'll be transparent about this throughout the hiring process. Find more English Speaking Jobs in United Kingdom on Arbeitnow

About Kernel Agents are starting to sell, buy and operate on behalf of companies. But before an agent can close a deal, qualify an account, route a lead or assess risk, it has to answer a basic question: which company is this? Today, that answer is messy, and no one answers it reliably. Business identity lives across CRMs, ERPs and third-party datasets full of duplicates, missing parent companies, stale addresses and incorrect enrichment. The cost shows up across the enterprise: sales teams miss revenue opportunities because they lack the right account context; operations teams take on avoidable exposure because risk signals are fragmented or wrong; and finance teams end up chasing, writing off, or defaulting on bad debt that should have been caught earlier. Humans have worked around that mess for years. Agents cannot. They need a reliable business identity layer they can trust. Kernel is building that layer: the business registry for agents. We issue a permanent Kernel ID for every business, plus the context an agent needs to act on it. Ops, data and revenue teams at Gong, Legora, Mistral, Canva and Notion already use Kernel on their own systems. Agents are next, and there will be far more of them. We have raised $20M from top VCs and operators at Plaid, OpenAI, Slack and others, and we are growing 12x YoY . The Role We're looking for a GTM Engineer to build the systems that take Kernel to $100m+ ARR. You'll own the infrastructure behind how we find, sell to and grow customers, from Salesforce and outbound to forecasting, renewals and expansion. This is a hands-on builder role, not a traditional RevOps support function. You'll work like a product engineer for GTM: find the biggest constraint on growth, turn a messy commercial problem into a working system, ship it quickly and improve it using real results. You do not need to be a software engineer, but you do need to be able to build with Salesforce, Clay, APIs, automation platforms and AI tools rather than waiting for someone else to do it. You'll also be Kernel's own internal customer , using Kernel to build an AI-native revenue engine, pressure-test the product in real workflows and turn what you learn into useful feedback for Product and Engineering. You'll report to Arvin Ashrafi, Head of Finance & Operations , and work closely with Sales leadership and the wider GTM team. What You'll Be Doing Build a better outbound engine: improve account targeting, signals, enrichment, prioritization, personalization, sequencing and measurement so the team consistently reaches the right companies at the right time Make the GTM team more productive: automate repetitive work across account research, meeting preparation, follow-ups, CRM hygiene and handoffs so BDRs, AEs and Account Managers spend more time with customers Run the revenue operating infrastructure: own the systems behind pipeline management, forecasting, funnel reporting, quota planning, GTM incentive compensation, renewals and expansion Set the rules of engagement: own account assignment and routing, settle ownership disputes, and make sure every meeting booked and held is captured and credited to the right person Improve how revenue work moves through Kernel: build reliable routing, attribution, account assignment and cross-functional handoffs, resolve edge cases and make performance visible Be Kernel's own internal customer: deploy Kernel on our CRM, use it to improve our GTM data and workflows, and turn what you learn into useful feedback for Product and Engineering What You Bring 3-5 years of relevant experience: you have worked in RevOps, Sales Ops or GTM Engineering at a high-growth Series B-E SaaS company and owned meaningful parts of the revenue engine end to end Deep Salesforce fluency: you understand objects, record types, fields, formulas, flows, validation rules, permissions, reports and data migration. You can reason about architecture and debug production behavior Strong GTM building ability: you have built useful systems with Clay, APIs, automation platforms and AI tools, and you know how to move from a rough idea to a reliable workflow that people adopt Commercial judgment: you understand how accounts become meetings, meetings become pipeline, pipeline is qualified and forecast, and won revenue flows into implementation, expansion, renewal and retention Strong data instincts: you can turn fragmented information into trustworthy workflows, measure what is working and create feedback loops that improve performance over time Clear, low-ego communication: you can turn a messy request into a crisp decision, explain trade-offs to non-technical teams, push back constructively and drive adoption through influence rather than authority It is a plus if you also have: Experience supporting an enterprise sales motion with multi-stakeholder deals and MEDDPICC Experience with renewals, expansion, compensation, quota setting or planning Familiarity with Gong, sales engagement platforms and modern enrichment or intent tooling Experience building operational controls around LLM- or agent-powered workflows ⚠️ This role may not be for you if you: Prefer strategy and recommendations over configuring systems, cleaning data, investigating edge cases and debugging workflows yourself Need outlined requirements or stable priorities before you can make progress See GTM Engineering primarily as CRM administration or ticket fulfillment rather than a revenue-generating function ❌ This role is definitely not for you if you: Are not comfortable taking broad ownership of a function Prefer a predictable, low-intensity environment Want to protect a 9-to-6 or a mostly remote setup. We are in the office together 4-5 days a week and the pace is high What We Offer We will do our best to offer you a ride of a lifetime. It will not be easy, but it will be thrilling. 💰 Salary: £70,000-£90,000 + equity 🗓️ 24 days holiday per year + bank holidays 🥕 £450 monthly office dinner allowance ✈️ 2 weeks work-from-anywhere 🍼 Generous parental leave policy 💼 Pension plan 💻 Top-spec equipment and central London office 🎉 Team events and dinners 🚀 Work directly with the founders to build the systems that power an AI-native revenue engine 🏆 High-autonomy, high-trust environment with a small team shipping at pace ❤️ Team Arvin Ashrafi, Head of Finance & Operations Amin Shafi, BizOps Associate Dave Bentham, Head of Sales 🎫 Visas & Relocation Not offered for this role. Interview Process Stage 1: Screening: Intro call Stage 2: Technical: In-person case interview Stage 3: Coffee chat: In-person discussion with members of our GTM team Final stage: Values: Interview with founders for culture and values alignment If there is mutual fit, we move to references and offer. Compensation: £70K – £90K • Offers Equity • Base Salary £70K – £90K • Offers Equity Find Jobs in United Kingdom on Arbeitnow

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We're looking for a Senior Software Systems Engineer to join our team and play a key role in the development of our cutting-edge hyperscaler platform. The GPU & InfiniBand team is responsible for enhancing and optimizing the core components of our Cloud platform, with a specific focus on GPU computing, InfiniBand networks, and the KVM/QEMU stack. You'll work closely with hardware virtualization and device emulation technologies, ensuring high performance and security in multi-GPU, HPC environments. The role involves analyzing, troubleshooting, and improving infrastructure to support new hardware, fine-tuning system performance, and automating fault detection and resolution in a complex system. In this position, you will be responsible for: Tuning the performance of GPU clusters and InfiniBand networks to ensure optimal operation in HPC and GPU-based environments. Analyzing and troubleshooting the root cause of issues related to GPUs and InfiniBand networks, and proposing corrective actions. Integrating new hardware into the existing infrastructure, including support for new GPU hardware through software stacks like Kubernetes, QEMU, and KVM. Enhancing automation systems for proactive monitoring, detecting, and resolving issues in GPU and InfiniBand environments. Configuring and managing GPU devices and InfiniBand fabrics, ensuring efficient and reliable operation. We expect you to have: 5+ years of professional experience in system-level software development (focused on performance optimization, low-level programming). 3+ years of hands-on experience with Linux systems (administration, troubleshooting, and performance tuning). In-depth understanding of server architecture, including PCIe devices, NICs, Linux OS/Kernel, and high-performance computing (HPC) systems. Strong proficiency in one or more performance-oriented programming languages (C/C++, Go, Python). It would be a plus if you have: Experience with GPU end-to-end testing in a cluster environment using InfiniBand networking. Proven track record of analyzing and optimizing the performance of HPC workloads (e.g., simulations, data analysis, AI/ML workloads). Familiarity with RDMA, RoCE, and InfiniBand protocols for high-performance communication. Background in Software-Defined Networking (SDN) and experience with HPC cluster networking . Understanding of QEMU/KVM virtualization and managing virtualized environments. Experience with deep learning frameworks such as PyTorch and TensorFlow , and their integration with HPC systems. Familiarity with collective communication libraries like MPI and NCCL for distributed computing. We offer competitive salaries ranging from $170k-$300k + equity based on your experience. We conduct coding interviews as part of the process. #LI-LH2 Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know. Find more English Speaking Jobs in United Kingdom on Arbeitnow

At Mitratech, we are a team of technocrats focused on building world-class products that simplify operations in the Legal, Risk, Compliance, and HR functions. We are a close-knit, globally dispersed team that thrives in an ecosystem that supports individual excellence and takes pride in its diverse and inclusive work culture centered around great people practices, learning opportunities, and having fun! Our culture is the ideal blend of entrepreneurial spirit and enterprise investment, enabling the chance to move at a rapid pace with some of the most complex, leading-edge technologies available. For over 35 years, the experts at Mitratech have been focused on solving complex needs. Today, we serve 20,000 client companies of all sizes globally, representing 30% of the Fortune 500 and over 500,000 users in over 160 countries. As we continue to grow, we're always looking for resourceful, enthusiastic, and fresh perspectives. Join our global team and see what makes Mitratech a truly exceptional place to work! Given our continued growth, we always have room for more intellect, energy, and enthusiasm - join our global team and see why it's so special to be a part of Mitratech! Job Overview We are seeking a highly skilled Senior Software Engineer specialising in Generative AI and Large Language Models, with a strong focus on agentic systems, Retrieval-Augmented Generation, and AI evaluations, to join our dynamic team. The ideal candidate will play a pivotal role in architecting and delivering production-grade AI solutions that meet complex business objectives effectively. This position requires a blend of expertise in modern AI technologies and software engineering, along with a passion for staying at the forefront of advancements. Essential Duties & Responsibilities : Design, build, and operate multi-agent workflows and tool-enabled agents, implementing orchestration logic, state management, safety guardrails, and fallback strategies for resilient production pipelines. Architect and maintain end-to-end RAG systems, covering document ingestion, chunking, embedding, vector retrieval, reranking, and answer synthesis with a focus on quality, attribution, and latency. Evaluate and integrate LLMs and GenAI services across cost, performance, and privacy dimensions, selecting the right mix of managed and in-house models. Develop, version, and optimise prompting strategies; implement automated prompt testing and regression tracking to maintain output quality and reliability. Define and own evaluation frameworks for generative outputs, including automated metrics, LLM-as-judge approaches, human evaluation protocols, hallucination detection, and drift monitoring. Apply classical NLP techniques where appropriate and maintain awareness of data distribution shifts that could impact model behaviour in production. Build and operate scalable, secure AI infrastructure on AWS (Bedrock, SageMaker, Lambda, OpenSearch), following well architected principles and infrastructure-as-code practices. Own the full deployment lifecycle: CI/CD for models and agents, testing strategies, observability, and rollback procedures. Ensure data quality through rigorous validation and augmentation, and proactively source datasets for training, fine-tuning, and evaluation. Requirements & Skills: Agent Orchestration: Production experience designing multi-agent systems with tool use, memory/state management, and fault-tolerant routing. Familiarity with LangChain, LangGraph, AutoGen, or custom orchestrators. RAG & Retrieval: Hands-on experience building RAG pipelines end-to-end: chunking, embedding models, vector databases, retrieval tuning, and answer synthesis at production scale. Evaluations: Strong experience defining and running evaluation pipelines for generative AI — automated scoring, human evaluation design, hallucination mitigation, and drift monitoring. LLM-as-judge patterns are a plus. LLMs & GenAI: Demonstrated experience with foundation models and GenAI providers (AWS Bedrock, OpenAI, Anthropic, Meta). Comfortable with fine-tuning, instruction tuning, and prompt engineering at scale. Traditional NLP: Solid grounding in classical NLP techniques (NER, text classification, intent detection, topic modelling) and good judgement on when to apply them alongside or instead of LLMs. AWS Bedrock: Hands-on experience with Amazon Bedrock: foundation model APIs, Bedrock Agents, Knowledge Bases, and Guardrails. Experience with Bedrock Model Evaluation is a plus. AWS Ecosystem: Proficiency with SageMaker, Lambda, ECS/EKS, S3, OpenSearch, IAM, CloudWatch, and VPC networking. MLOps & CI/CD: Familiarity with model registries, CI/CD for ML, feature stores, canary deployments, monitoring, and rollback. IaC: Experience with Terraform or AWS CDK for reproducible infrastructure provisioning. Python: Production-quality Python: packaging, testing (pytest), type hints, async programming, and clean ML pipeline abstractions. ML Frameworks: Familiarity with traditional ML frameworks and fine-tuning workflows. Experiment Tracking: Experience with Langfuse, Arize or Langsmith, or equivalent for tracking runs, metrics, and artefacts. Ability to translate ambiguous business goals into concrete technical solutions and communicate tradeoffs to non-technical stakeholders. Strong collaborative instincts — comfortable working across engineering, product, and data teams. A rigorous, evidence-driven mindset: you ship with confidence because you measure, test, and monitor thoroughly. Education: A Master's degree in Machine Learning, Computer Science with a preference for specialization in the NLP domain. We are an equal-opportunity employer that values diversity at all levels. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity, disability, or veteran status. Find more English Speaking Jobs in Germany on Arbeitnow