Senior Developer Technology Engineer - Simulation Performance

at Nvidia

USD 224,000-431,200 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

Algorithms @ 4 CUDA @ 4 Data Structures GPU @ 4 JAX @ 4 Leadership @ 6 Mathematics @ 4 Python Reinforcement Learning @ 4 Robotics @ 9 System Architecture Technical Leadership @ 6

Details

We are seeking an exceptional hands-on engineer to help 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 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, including stewardship of an advanced system that was made 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 from system architecture through GPU kernels, and identify limiting factors.
Work with partner developers to improve algorithms, data structures, memory layouts, and parallel execution.
Collaborate with NVIDIA engineering teams when evidence points to an NVIDIA platform bottleneck.
Apply knowledge of reinforcement learning, robotic kinematics, simulation setup, and simulation validation to partner challenges.
Write and upstream production C++, CUDA, Python, and domain-specific GPU code into simulation platforms, partner applications, and reusable reference implementations.
Work across developers, NVIDIA architecture and software teams, and open technical communities to make improvements sustainable beyond a single engagement.

Requirements

12 or more years of relevant experience.
A degree in Computer Science, Applied Mathematics, Physics, Mechanical Engineering, Computational Science, or a related field, or equivalent experience.
Publicly inspectable stewardship of a consequential open-source engine, library, standard, benchmark, or software framework, with implementation and technical leadership visible in the artifact.
A 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 skills, supported by strong foundations in mathematics, physics, numerical methods, geometry, or performance modeling.

Preferred Qualifications

Deep experience with physics engines, numerical solvers, geometry processing, differentiable simulation, or large-scale batched simulation.
Experience with CUDA, Warp, Newton, PhysX, Isaac Sim, Isaac Lab, MuJoCo, JAX, or comparable accelerated-computing systems.
A history of carrying important technical work through integration, maintenance, documentation, and supporting the success of other developers.

Compensation and Benefits

Base salary for Level 5: USD 224,000–356,500 per year.
Base salary for Level 6: USD 272,000–431,250 per year.
Eligible for equity and benefits.
Applications will be accepted at least until September 13, 2026.
NVIDIA is an equal opportunity employer committed to an inclusive work environment.