Senior Developer Technology Engineer - Simulation Performance
$224k - $431k • US, CA, Santa Clara
Posted 7d ago
Job Location
US, CA, Santa Clara
Tech Stack
Remote Work Policy
On-site
Categories
Machine Learning Engineer
About the job
We are seeking an exceptional hands-on engineer to help our partners and customers make demanding physics and robotics simulation workloads run exceptionally well on NVIDIA platforms. You will work at the intersection of algorithms, mathematics, GPU architecture, and production software to find the true limits of real applications and turn that understanding into durable code and actionable feedback for NVIDIA engineering teams. This role is for someone with a recognizable technical body of work: not someone who merely used advanced systems, but someone who took stewardship of one and made it substantially better.
Responsibilities
- Help partners and customers establish and execute performance strategies for physics, robotics simulation, and computational-engineering workloads on NVIDIA GPUs.
- Build rigorous benchmarks and performance models, profile customer applications, and identify limiting factors.
- Work with partner developers to improve algorithms, data structures, memory layouts, and parallel execution.
- Collaborate with owning engineering teams when evidence points to an NVIDIA platform bottleneck.
- Apply knowledge of reinforcement learning, robotic kinematics simulation setup, and simulation validation.
- Write and upstream production C++, CUDA, Python, and domain-specific GPU code into simulation platforms, partner applications, and reference implementations.
- Work across developers, NVIDIA architecture and software teams, and open technical communities to ensure improvements last.
Requirements
- 12+ years of relevant experience.
- Degree in Computer Science, Applied Mathematics, Physics, Mechanical Engineering, Computational Science, or related field, or equivalent experience.
- Record of delivering large, reproducible performance improvements in production numerical, simulation, graphics, CAE, robotics, or scientific-computing systems.
- Expert modern C++ and GPU parallel-programming ability.
- Strong foundations in mathematics, physics, numerical methods, geometry, or performance modeling.
Benefits
- Equity
- Benefits