Senior Performance Engineer - GPU Robotics Simulation

Dex; Cambridge; On-site; GBP 100,000 - 140,000; Full time

Job summary

Dex in Cambridge is building GPU-accelerated robotics simulation and training infrastructure. The role is a senior IC responsible for profiling and optimizing the full stack—from GPU physics to real-time edge execution on humanoid and quadruped robots.

You will work closely with the founders to set performance benchmarks and drive low-latency engineering across the engine. On-site work in the UK lab is required, with a hands-on approach to code, profiling, and architectural decisions.

Qualifications

• Proven track record of making systems faster through profiling and memory layout design.
• Experience in latency/throughput critical environments like game engines, HPC, or real-time systems.
• On-site work at the lab in Cambridge, UK required.

Responsibilities

• Profile and optimize GPU and CPU execution pipelines across the simulation engine, training loops, and edge deployment to eliminate latency.
• Architect cache-friendly memory layouts, lock-free structures, and parallel execution paths.
• Test performance gains on physical quadruped and humanoid robots in the lab.
• Set engineering standards for performance testing and benchmarking across the team through hands-on pairing and code review.
• Work directly with the founders to debate architecture and make irreversible design calls on the core engine.

Skills

C++ performance optimization

Low-latency systems

Hardware-aware profiling

Job description

Dex in Cambridge is building GPU-accelerated robotics simulation and training infrastructure. The role is a senior IC responsible for profiling and optimizing the full stack—from GPU physics to real-time edge execution on humanoid and quadruped robots.

You will work closely with the founders to set performance benchmarks and drive low-latency engineering across the engine. On-site work in the UK lab is required, with a hands-on approach to code, profiling, and architectural decisions.