{"id":774888,"url":"https://alion.io/job/g-research-performance-engineering-manager","title":"Performance Engineering Manager","company":{"id":445185,"name":"G-Research","domain":"gresearch.com","url":"https://alion.io/company/g-research","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":94,"open_postings":21,"ghost_share":0,"stale_share":0.048,"repost_share":0,"time_to_fill_p50_days":91,"computed_at":"2026-10-23T05:54:15Z"}},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":91000,"max_usd":199000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":66},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"eBPF","optional":false},{"name":"Grafana","optional":false},{"name":"HPC","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prometheus","optional":false}],"status":"live","first_seen_at":"2026-01-19T00:00:00Z","employer_posted_date":"2026-01-19","last_verified_at":"2026-10-22T23:06:14Z","board_verified":true,"closed_at":null,"days_open":277,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":277},"description":"We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity.\nFrom our London HQ, we unite world-class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we’re building a world-class platform to amplify our teams’ most powerful ideas.\nAs part of our engineering team, you’ll shape the platforms and tools that drive high-impact research - designing systems that scale, accelerate discovery and support innovation across the firm.\nTake the next step in your career.\nThe role\nWe are seeking an exceptional Engineering Manager to lead our Compute Performance Engineering team. The team’s mission is to optimise large-scale workloads across our Linux HPC and Kubernetes compute environments.\nThis is a hands-on, impactful role where you will design and implement techniques to maximise utilisation of our cutting-edge compute infrastructure - ensuring researchers and engineers achieve the best possible performance on current and future systems.\nYou will work closely with internal research and infrastructure teams to profile and analyse workloads, eliminate bottlenecks and develop reference solutions. Your work will directly influence the evolution of our platforms - shaping the architecture, software stack and tooling that underpin large-scale machine learning computation.\nKey responsibilities of the role include:\nDefining and delivering the long-term strategy for performance engineering across G-Research, enabling all engineers to maximise utilisation of our compute estate\nProviding leadership, mentoring and career development for engineers, fostering a high-performance culture\nCommunicating performance improvements and team impact effectively across technical and non-technical audiences\nEngaging directly with researchers, senior stakeholders and engineers to understand compute challenges and design optimised solutions\nProfiling, benchmarking and tuning large-scale workloads across CPU, GPU and memory-intensive jobs\nDeveloping reference implementations, libraries and tools to improve job efficiency and reliability\nCollaborating with systems, architecture and platform teams to evolve our compute stack\nInfluencing long-term platform and infrastructure decisions\nWho are we looking for?\nWe need a technically credible leader with a passion for performance at scale. You’ll bring a combination of deep systems knowledge with the ability to lead and grow a high-performing team.\nThe ideal candidate will have the following skills and experience:\nExperience managing and developing engineers\nA strong background in computer science, such as BSc, MSc, PhD or equivalent experience\nProven expertise in profiling, benchmarking and optimising distributed or large-scale workloads\nProficiency in one or more programming languages, with strong grounding in algorithms and performance optimisation\nDeep understanding of Linux internals, for example across scheduling, memory management, NUMA, networking and filesystems\nExperience with HPC schedulers and Kubernetes workload orchestration\nHands-on experience with heterogeneous compute, such as GPUs, multi-core CPU workloads and high-memory systems\nExcellent communication and collaboration skills across research, infrastructure and engineering domains\nFamiliarity with profiling and monitoring tools, including perf, eBPF, VTune, Flamegraphs, Prometheus and Grafana\nWhy should you apply?\nHighly competitive compensation plus annual discretionary bonus\nLunch provided (via Just Eat for Business) and dedicated barista bar\n35 days’ annual leave\n9% company pension contributions\nInformal dress code and excellent work/life balance\nComprehensive healthcare and life assurance\nCycle-to-work scheme\nMonthly company events\nG-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.\nWe want to ensure that applicants receive a recruitment experience that enables them to perform at their best. 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