G-Research
Principal Hpc Engineer
Do you want to tackle the biggest questions in finance with near infinite compute power at your fingertips? G-Research is a leading quantitative research and technology firm, with offices in London and Dallas. We are proud to employ some of the best people in their field and to nurture their talent in a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded. This is a hybrid role based in our new Dallas infrastructure hub where we work on the latest technologies in a cutting-edge environment. The Role
We are seeking a highly skilled and visionary Principal Hpc Engineer to support and enhance our large-scale Hpc platform. This role requires deep technical expertise and the ability to drive innovation across container, compute, storage, networking and scheduler architectures. The ideal candidate will work closely with technology architecture teams, innovation groups, key vendor partners such as Nvdia, Cisco and Vast, and internal and external open-source communities to develop next-generation Hpc solutions. The role also involves close collaboration with other senior engineers across G-Research to ensure alignment with strategic objectives. Key responsibilities: Leading the design, development and optimisation of large-scale Hpc infrastructure including compute, container, storage and networking layers Shaping and scaling the Hpc roadmap in partnership with Architecture and Engineering teams Researching, evaluating and integrating emerging technologies such as Gpus, Dpus, AI-driven workflows and high-speed interconnects Building partnerships with key vendors, such as Nvdia, Cisco and Vast, academic institutions and industry groups to drive innovation and collaboration Contributing to and leveraging open-source Hpc projects and frameworks Defining best practices for cluster management, workload scheduling, data lifecycle and sustainable operations Ensuring high availability, reliability, security and efficiency across the Hpc platform Automating deployment and monitoring of Hpc workloads in collaboration with DevOps and Sre teams Representing the organisation at industry events, publishing technical content and mentoring others in Hpc technologies and trends Who Are We Looking For?
The ideal candidate will have the following skills and experience: PhD or Master's degree in Computer Science, Electrical Engineering, Computational Sciences or a related field 10+ years' experience in Hpc architecture, research or large-scale infrastructure design Deep knowledge of Hpc cluster design, parallel computing and high-speed networking (e.g. InfiniBand, RDMA, Roce) Experience with Nvdia Gpu computing, CUDA, AI/ML accelerators and high-density compute architectures Strong background in distributed storage systems such as Vast, Lustre, Ceph and Gpfs Proficiency in Hpc workload schedulers (e.g. Aramda, Slurm, Pbs, Kubernetes-based orchestration) Expertise in Linux kernel tuning, performance profiling and system-level optimisation Understanding of open-source contribution models and collaborative development Preferred: Familiarity with AI-driven Hpc and hybrid cloud Hpc architectures Hands-on experience with Cisco high-performance networking solutions Proven ability to work across multidisciplinary teams and drive strategic technology initiatives Why Should You Apply?
Market-leading compensation plus annual discretionary bonus Lunch provided in the office (via GrubHub) Informal dress code and excellent work/life balance Excellent paid time off allowance of 25 days Sick days, military leave, and family and medical leave Generous 401(k) plan 16-weeks' fully paid parental leave Medical and Prescription, Dental, and Vision insurance Life and Accidental Death & Dismemberment (AD&D) insurance Employee Assistance and Wellness programs Generous relocation allowance and support Great selection of office snacks, and hot and cold drinks Free on-site gym and car parking This role is employed through our US affiliate. G-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas-driven business and we place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section.
Do you want to tackle the biggest questions in finance with near infinite compute power at your fingertips? G-Research is a leading quantitative research and technology firm, with offices in London and Dallas. We are proud to employ some of the best people in their field and to nurture their talent in a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded. This is a hybrid role based in our new Dallas infrastructure hub where we work on the latest technologies in a cutting-edge environment. The Role
We are seeking a highly skilled and visionary Principal Hpc Engineer to support and enhance our large-scale Hpc platform. This role requires deep technical expertise and the ability to drive innovation across container, compute, storage, networking and scheduler architectures. The ideal candidate will work closely with technology architecture teams, innovation groups, key vendor partners such as Nvdia, Cisco and Vast, and internal and external open-source communities to develop next-generation Hpc solutions. The role also involves close collaboration with other senior engineers across G-Research to ensure alignment with strategic objectives. Key responsibilities: Leading the design, development and optimisation of large-scale Hpc infrastructure including compute, container, storage and networking layers Shaping and scaling the Hpc roadmap in partnership with Architecture and Engineering teams Researching, evaluating and integrating emerging technologies such as Gpus, Dpus, AI-driven workflows and high-speed interconnects Building partnerships with key vendors, such as Nvdia, Cisco and Vast, academic institutions and industry groups to drive innovation and collaboration Contributing to and leveraging open-source Hpc projects and frameworks Defining best practices for cluster management, workload scheduling, data lifecycle and sustainable operations Ensuring high availability, reliability, security and efficiency across the Hpc platform Automating deployment and monitoring of Hpc workloads in collaboration with DevOps and Sre teams Representing the organisation at industry events, publishing technical content and mentoring others in Hpc technologies and trends Who Are We Looking For?
The ideal candidate will have the following skills and experience: PhD or Master's degree in Computer Science, Electrical Engineering, Computational Sciences or a related field 10+ years' experience in Hpc architecture, research or large-scale infrastructure design Deep knowledge of Hpc cluster design, parallel computing and high-speed networking (e.g. InfiniBand, RDMA, Roce) Experience with Nvdia Gpu computing, CUDA, AI/ML accelerators and high-density compute architectures Strong background in distributed storage systems such as Vast, Lustre, Ceph and Gpfs Proficiency in Hpc workload schedulers (e.g. Aramda, Slurm, Pbs, Kubernetes-based orchestration) Expertise in Linux kernel tuning, performance profiling and system-level optimisation Understanding of open-source contribution models and collaborative development Preferred: Familiarity with AI-driven Hpc and hybrid cloud Hpc architectures Hands-on experience with Cisco high-performance networking solutions Proven ability to work across multidisciplinary teams and drive strategic technology initiatives Why Should You Apply?
Market-leading compensation plus annual discretionary bonus Lunch provided in the office (via GrubHub) Informal dress code and excellent work/life balance Excellent paid time off allowance of 25 days Sick days, military leave, and family and medical leave Generous 401(k) plan 16-weeks' fully paid parental leave Medical and Prescription, Dental, and Vision insurance Life and Accidental Death & Dismemberment (AD&D) insurance Employee Assistance and Wellness programs Generous relocation allowance and support Great selection of office snacks, and hot and cold drinks Free on-site gym and car parking This role is employed through our US affiliate. G-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas-driven business and we place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section.