Senior Machine Learning Software Engineer, Research

PhysicsX

ABOUT US PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. NOTE: WE ARE CURRENTLY RECRUITING FOR MULTIPLE POSITIONS, HOWEVER PLEASE ONLY APPLY FOR THE ROLE THAT BEST ALIGNS WITH YOUR SKILLSET AND CAREER GOALS. THE ROLE The Senior Simulation Data Engineer will extend and operate the infrastructure that powers our research Data Factory. You will be responsible for the end-to-end pipeline: from geometry preparation and simulation orchestration through validation, post-processing, and delivery to downstream ML training systems, using PhysicsX platform orchestration services where synergies exist. This role sits at the intersection of HPC engineering and data engineering. You will orchestrate long-running CFD simulations at scale, build robust data pipelines, and ensure that every simulation we produce meets rigorous quality standards. TEAM CONTEXT In this role, you will be vertically embedded in Research , working daily with: * Research Scientists who define data requirements and quality standards * ML Engineers who consume Data Factory outputs for model training * ML Infrastructure Engineers who are accountable for downstream training infrastructure You will have end-to-end responsibilities over the Data Factory, with the autonomy to make architectural decisions and the responsibility to keep data flowing reliably. Horizontally, you will be part of an infrastructure engineering group responsible for infrastructure across the company. WHAT YOU WILL DO SIMULATION ORCHESTRATION * Extend and operate the Data Factory infrastructure that orchestrates thousands of CFD simulations per day on cloud compute * Design and operate job scheduling systems that maximize throughput while handling failures gracefully * Build monitoring and alerting to detect simulation failures, convergence issues, and resource bottlenecks early DATA PIPELINE ENGINEERING * Build high-performance data pipelines that move simulation outputs from solver results to ML-ready training data * Implement geometry preprocessing workflows (mesh preparation, morphing, watertightness validation) * Design and operate post-processing pipelines: surface decimation, field interpolation, format conversion * Optimize I/O performance for large mesh datasets DATA QUALITY AND VALIDATION * Implement comprehensive validation checks at every pipeline stage: solver convergence, physical field bounds, post-processing fidelity * Build systems that capture and quarantine bad data before they reach training pipelines * Track and report data quality metrics across the entire Data Factory * Work towards full provenance: training samples should be traceable back to their source geometry and simulation configuration INTEGRATION AND DELIVERY * Deliver validated datasets to downstream ML training infrastructure in formats optimized for efficient data loading * Design data versioning and cataloging systems that support reproducible training runs * Work closely with ML Infrastructure Engineers to ensure smooth handoff between data production and model training * Support multi-dataset training workflows WHAT YOU BRING TO THE TABLE * Ability to scope and effectively deliver projects, prioritising activity as needed. * Problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly. * Excellent collaboration and communication skills, especially in a research setting. You can translate "the model isn't converging" into infrastructure hypotheses and solutions, and can bridge technical abstractions with implementations. * 5+ years of experience in data engineering, HPC engineering, or simulation infrastructure. * Strong experience with orchestration systems: SLURM, Kubernetes, Temporal * Production data pipeline experience: you've built and operated pipelines that process large volumes of data reliably * Proficiency in Python for pipeline development and automation * Systems engineering fundamentals: Linux, networking, storage systems, performance debugging * Experience with cloud infrastructure; ****ideally CoreWeave or similar GPU/HPC-focused clouds * Background in HPC for simulation engineering: experience with CFD, FEA, or similar computational workflows (StarCCM+, OpenFOAM, ANSYS, etc.) * Experience with geometry processing: mesh manipulation, CAD formats, PyVista * Familiarity with scientific data formats: HDF5, VTK, NetCDF, Zarr * Data quality engineering experience: validation frameworks, anomaly detection, data observability IDEALLY * Understanding of CFD fundamentals, enough to interpret solver outputs and validation metrics * Experience with 3D geometry pipelines (mesh decimation, field interpolation) * Familiarity with ML data loading patterns and how training systems consume data What we offer Build what actually matters Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind. Learn alongside exceptional people Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home. Influence over hierarchy We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected. Sustainable pace, long-term ambition Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person. And it doesn’t stop there … 🚀 Equity options - share meaningfully in the company you’re helping to build. 🏦 10% employer pension contribution - because investing in future matters. 🍽️ Free office lunches - to keep you energised and focused. 👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most. 🍼 YellowNest nursery scheme - to help working parents manage childcare costs. ☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters. 🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind. 💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing. 👀 Eye tests - because good work depends on good health. 📈 Personal development - dedicated support for learning, development, and leveling up over time. 💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it. 🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener. 🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric. 🔎 Watch this space, we’re continuing to build this as we grow…   We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.    We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.

Graphcore

ABOUT GRAPHCORE  Graphcore is one of the world’s leading innovators in Artificial Intelligence compute.   It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.   As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.    Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.   JOB SUMMARY   Reporting to a Team Lead in the frameworks team you will play a pivotal role in designing, implementing, optimising, maintaining and supporting the software required to ensure the machine learning accelerators that Graphcore develop enjoy first-class support in state-of-the-art machine learning frameworks such as PyTorch and Triton (note: “Triton” here refers to the Triton language/compiler and not the inference framework).   This role sees you joining our Triton team, where you will be part of a SCRUM team working on delivering new features, optimise performance, reviewing code changes, writing technical documentation, working with upstream communities, maintaining the code base and supporting users.   In this role you will closely collaborate with other engineers, both within the Triton team as well as other engineering teams. You help the team coordinate and deliver complex, open-ended technical tasks. You are pro-active and an excellent communicator. You will develop deep expertise in the Triton project and will (in time) contribute to the team’s technical direction and processes. You understand the importance of managing code quality and code complexity and balancing this against the need to deliver business outcomes.  Note that the job title and associated benefits will be tailored to the successful candidate’s level of experience at the job offer stage to one of Software Engineer, Staff Engineer, Senior Staff Engineer, Principal Software Engineer or Senior Principal Software Engineer. Note that as the machine learning software landscape is quite fast moving and as such flexibility is essential – over time you may be asked to work on teams other than Triton.    THE TEAM  The Frameworks team ensures Graphcore hardware works seamlessly with the tools that ML engineers and researchers love – Pytorch, Triton, Jax and TensorFlow. We’re a talented and diverse team of engineers and we foster a culture of collaboration, openness and learning. All our software teams follow agile working practices, and we care deeply about both ease-of-use as well as performance. We work closely work with other Graphcore teams as well as leading open-source communities.   By joining us, you’ll join our exciting journey on the cutting edge of the machine learning industry. Your contributions will make a real difference – enabling machine learning engineers and researchers to unlock the full potential of Graphcore’s hardware.   RESPONSIBILITIES AND DUTIES  * Designing and implementing new features & maintaining and supporting existing features. * Developing and maintaining unit tests, component tests and integration tests. * Optimising the software stack to make it more performant for our users. * Managing complex technical tasks with cross-team dependencies. * Managing code quality, code complexity and technical debt. * Provide technical leadership, contributing the team’s technical direction and processes. * Contributing to documentation, including user manuals and tutorials. * Conducting code reviews. * Resolving regressions, performance issues and software defects. * Coaching and mentoring other team members. * Contributing to a collaborative team culture. * Contribute to continuous improvements to improve ways of working. * Working with upstream open-source development teams.  CANDIDATE PROFILE  Essential:  * Demonstrable strong software engineering skills. * Demonstrable experience of Python/C++ development. * Demonstrable experience of compiler development.  Desirable:  * Experience with MLIR (or more generally: SSA-based IRs) is highly desirable.  * Demonstrable knowledge of AI/ML. * Understanding of computing architectures. * Experience of maintaining and supporting a complex code base. * Experience in profiling / optimising high performance code. * Experience of writing ML kernels. * Experience of using and/or development of ML Frameworks. * Experience in a computationally intensive engineering field.  BENEFITS In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

Graphcore

ABOUT GRAPHCORE  Graphcore is one of the world’s leading innovators in Artificial Intelligence compute.   It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.   As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.    Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.   JOB SUMMARY   Reporting to a Team Lead in the frameworks team you will play a pivotal role in designing, implementing, optimising, maintaining and supporting the software required to ensure the machine learning accelerators that Graphcore develop, enjoy first-class support in state-of-the-art machine learning frameworks such as PyTorch and Triton.   This role sees you joining our PyTorch team, where you will be part of a SCRUM team working on delivering new features, optimise performance, reviewing code changes, writing technical documentation, working with upstream communities, maintaining the code base and supporting users.   In this role you will closely collaborate with other engineers, both within the PyTorch team as well as other engineering teams. You help the team coordinate and deliver complex, open-ended technical tasks. You are pro-active and an excellent communicator. You will develop deep expertise in the PyTorch project and will (in time) contribute to the team’s technical direction and processes. You understand the importance of managing code quality and code complexity and balancing this against the need to deliver business outcomes.  Note that the job title and associated benefits will be tailored to the successful candidate’s level of experience at the job offer stage to one of Software Engineer, Staff Engineer, Senior Staff Engineer, Principal Software Engineer or Senior Principal Software Engineer.   Note that as the machine learning software landscape is quite fast moving and as such flexibility is essential – over time you may be asked to work on frameworks other than PyTorch.  THE TEAM  The Frameworks team ensures Graphcore hardware works seamlessly with the tools that ML engineers and researchers love – Pytorch, Triton, Jax and TensorFlow. We’re a talented and diverse team of engineers and we foster a culture of collaboration, openness and learning. All our software teams follow agile working practices, and we care deeply about both ease-of-use as well as performance. We work closely work with other Graphcore teams as well as leading open-source communities.  By joining us, you’ll join our exciting journey on the cutting edge of the machine learning industry. Your contributions will make a real difference – enabling machine learning engineers and researchers to unlock the full potential of Graphcore’s hardware.   RESPONSIBILITIES AND DUTIES  * Designing and implementing new features & maintaining and supporting existing features. * Developing and maintaining unit tests, component tests and integration tests. * Optimising the software stack to make it more performant for our users. * Managing complex technical tasks with cross-team dependencies. * Managing code quality, code complexity and technical debt. * Provide technical leadership, contributing the team’s technical direction and processes. * Contributing to documentation, including user manuals and tutorials. * Conducting code reviews. * Resolving regressions, performance issues and software defects. * Coaching and mentoring other team members. * Contributing to a collaborative team culture. * Contribute to continuous improvements to improve ways of working. * Working with upstream open-source development teams. CANDIDATE PROFILE  Essential:  * Demonstrable strong software engineering skills. * Experience of Python development. * Experience of developing performant C++ applications in a commercial setting. At least one of: * Experience of writing ML kernels. * Experience of compiler development. * Experience of using and/or development of ML Frameworks. * Experience in a computationally intensive engineering field. Desirable:  * Demonstrable knowledge of AI/ML. * Understanding of computing architectures. * Experience of maintaining and supporting a complex code base. * Experience in profiling / optimising high performance code. BENEFITS In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications