High Performance Engineer (up to £140k)

Dex; Cambridge; Presencial; GBP 90.000 - 120.000; Tempo integral

Resumo da vaga

Dex is partnering with a Cambridge robotics initiative to build GPU-accelerated simulation and training infrastructure. The role focuses on removing latency in the physics engine, profiling and optimizing both GPU and CPU paths, and shaping the core engine with the founders in a hands-on, iterative process.

We seek a senior IC with deep C++ expertise in latency-sensitive environments such as games, HPC, or physics engines.

Qualificações

• Mastery of modern C++ with focus on low-level profiling, memory layout design, parallelism and deep hardware awareness.
• Experience in environments where latency or throughput is the product (games/HPC/simulation/low-latency systems).
• Proven senior individual contributor capable of raising the technical bar through rigorous code reviews and paired work.

Responsabilidades

• Profile and optimize GPU and CPU execution pipelines across the simulation engine, training loops, and edge deployment to reduce latency.
• Architect cache-friendly memory layouts, lock-free structures, and parallel paths tailored to modern hardware limits.
• Test and validate performance gains on physical robots inside the lab.
• Set engineering standards for performance testing and benchmarking via hands-on pairing and code reviews.
• Collaborate with founders to debate architecture and make design calls on the core engine.

Conhecimentos

Modern C++ mastery

Low-latency / high-performance systems

Mentoring & code reviews

On-site Cambridge lab

Descrição da vaga

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.

The role

Most robotics simulation hits a bottleneck because the physics engine cannot run fast enough to train policies at scale. This team builds GPU-accelerated simulation and training infrastructure where speed is the entire value proposition, founded by two engineers who spent over a decade building physics engines at the world's dominant GPU architecture company. Backed by top-tier VCs with extensive runway, they run a lean 11-person team in Cambridge with physical hardware in the room.

The work

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

What You Bring

• Mastery of modern C++ with a demonstrable record of making systems measurably faster through low-level profiling, memory layout design, parallelism, and deep hardware awareness.
• Prior work in environments where latency or throughput is the product itself, such as game or physics engines, HPC, scientific simulation, low‑latency trading, or embedded real‑time systems.
• Proven ability as a senior individual contributor to raise the technical bar of an early‑career engineering team through rigorous code reviews, direct pairing, and clear task decomposition.
• Ability to work fully on site at the lab in Cambridge, UK every day.

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.