Scheduler Work, Jobs in Westerham, Ken (with Salaries)

Performance Engineering Manager
G-Research —London
- Bar
- Doctoral degree
- Computer Science
- Annual leave
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Nebius —London
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Lead Engineer, Trading Platform Engineering
Bullish Global —London
- Full-time
- Java
- Linux
Senior Developer - Risk Technology - C# .NET, Python, Snowflake SQL (Vice President)
Jefferies & Company, Inc. —London
- Full-time
- Computer Science
- Engineering
- AWS
Sr. Software Engineer, Inference
CoreWeave Europe —London
- Computer Science
- Master's degree
- Bachelor's degree
- Employee assistance programme
Quick apply
Senior Backend Software Engineer - Backend Systems
Radiant —London
- Full-time
- Hybrid work
- Annual leave
Quick apply

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Performance Engineering Manager

G-Research -
London

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Job details

Benefits

Annual leave
Company pension
Company events

Qualifications

Performance tuning
Doctoral degree
Computer Science
Stakeholder collaboration
Kubernetes
Kubernetes orchestration
Master's degree
Bachelor's degree
Team management
Linux
Multidisciplinary collaboration
Communication skills

Full job description

We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity.

From 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.

As 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.

Take the next step in your career.

The role

We 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.

This 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.

You 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.

Key responsibilities of the role include:

Defining and delivering the long-term strategy for performance engineering across G-Research, enabling all engineers to maximise utilisation of our compute estate
Providing leadership, mentoring and career development for engineers, fostering a high-performance culture
Communicating performance improvements and team impact effectively across technical and non-technical audiences
Engaging directly with researchers, senior stakeholders and engineers to understand compute challenges and design optimised solutions
Profiling, benchmarking and tuning large-scale workloads across CPU, GPU and memory-intensive jobs
Developing reference implementations, libraries and tools to improve job efficiency and reliability
Collaborating with systems, architecture and platform teams to evolve our compute stack
Influencing long-term platform and infrastructure decisions

Who are we looking for?

We 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.

The ideal candidate will have the following skills and experience:

Experience managing and developing engineers
A strong background in computer science, such as BSc, MSc, PhD or equivalent experience
Proven expertise in profiling, benchmarking and optimising distributed or large-scale workloads
Proficiency in one or more programming languages, with strong grounding in algorithms and performance optimisation
Deep understanding of Linux internals, for example across scheduling, memory management, NUMA, networking and filesystems
Experience with HPC schedulers and Kubernetes workload orchestration
Hands-on experience with heterogeneous compute, such as GPUs, multi-core CPU workloads and high-memory systems
Excellent communication and collaboration skills across research, infrastructure and engineering domains
Familiarity with profiling and monitoring tools, including perf, eBPF, VTune, Flamegraphs, Prometheus and Grafana

Why should you apply?

Highly competitive compensation plus annual discretionary bonus
Lunch provided (via Just Eat for Business) and dedicated barista bar
35 days’ annual leave
9% company pension contributions
Informal dress code and excellent work/life balance
Comprehensive healthcare and life assurance
Cycle-to-work scheme
Monthly company events

Apply Now

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scheduler jobs in westerham, ken

Performance Engineering Manager

Staff / Senior Software Engineer (Agentic Search) - Crawler

Lead Engineer, Trading Platform Engineering

Senior Developer - Risk Technology - C# .NET, Python, Snowflake SQL (Vice President)

Sr. Software Engineer, Inference

Senior Backend Software Engineer - Backend Systems

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Highly competitive compensation plus annual discretionary bonus

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