About the job
Organisation Links
Dex

This role is with one of Dex's trusted partner companies. We work closely with their teams to truly understand their culture, goals, and what they're looking for, so we can match you with the right opportunity and give you context about the role before you commit to a process. If you're interested sign up to Dex to apply. Dex is an AI recruiter agent that helps you run your job search. Tell Dex your stack, seniority, and what you want to build. We will manage your applications and surface other opportunities that are a fit. The role Robots train inside simulation, and execution speed is the entire product. Founded by veterans who spent over a decade building industry-standard GPU physics engines at the world's leading hardware firm, this team is building the end-to-end physics, training, and real-time edge runtime stack for the next generation of physical robotics. They are backed by top-tier venture capital with a multi-year runway, working as a tight-knit engineering team in Cambridge alongside quadruped and humanoid hardware. You will own performance across the entire simulation and edge runtime stack, finding where cycles disappear and taking them back. This is an elite senior individual contributor role, not a middle-management seat. You will sit alongside founders who still write engine code every day, serving as the senior technical anchor in the room to unblock and mentor a talented early-career team while pushing code that runs on real robots. The work

  • Profile, diagnose, and optimize high-throughput GPU physics simulation, policy learning pipelines, and edge execution runtimes.
  • Refactor critical paths to maximize hardware utilization, tackling memory layout, cache misses, SIMD utilization, and multi-threaded synchronization.
  • Deploy and validate real-time execution pipelines directly on physical humanoid and quadruped robots operating in the lab.
  • Set the standard for code quality and systems engineering by mentoring early-career engineers through pairing, design reviews, and clear task decomposition.
  • Collaborate directly with hands-on technical founders to debate architecture, test hypotheses, and push raw simulation performance. What You Bring
  • Deep mastery of modern C++ with proven experience making production systems measurably faster through hardware-aware parallelism, profiling, and cache-conscious memory layout.
  • A background in domains where throughput or latency is the product itself, such as physics simulation, game engines, HPC, low-latency trading, or real-time embedded systems.
  • Demonstrated experience lifting the technical bar of an engineering team through direct pairing, actionable code reviews, and structured task breakdown.
  • Ability to work fully on site in Cambridge, UK alongside the founders, team, and physical robot hardware. Why apply through Dex World-class high-performance engineering seats in robotics are exceedingly rare, and distinguishing deep systems teams from surface-level AI wrappers is hard from a public job spec. Applying through Dex bypasses traditional recruiter screenings and puts you directly in front of the founding team. We provide full technical clarity on the codebase, the hardware lab, and the team dynamic before your first conversation. If you're interested, sign up to Dex to apply - https://jobs.meetdex.ai/jobs/7a345bb2-c4a8-4ab0-bbb8-b833a3bf8931 As part of the recruitment process at Dex, we process your personal data in accordance with our Privacy Notice for Job Applicants. This notice explains how and why your data is collected and used, and how you can contact us if you have any concerns.

Job ref blurredText

Posted on blurredText

Last checked on blurredText

Closing on blurredText

0 comments
0 requirements

Discuss this job

Share your intel on this vacancy and help others - anonymously. Get notified automatically of new comments when starred or saved to Tracker.

My Private Notes

Saving private notes will automatically star the vacancy to your Jobs page.