NVIDIA

NVIDIA

Posted via Workday

Senior Developer Technology Engineer - Simulation Performance

Posted Sep 10, 2026

Role at a glance

Job function
Software Engineering & IT Software Engineering
Salary
Not yet verified Check the description for pay details; an amount or pay period has not been verified.
Location
Santa Clara, California, United States
Work arrangement
On-site
Employment
Full-time
Experience
Senior Level 12+ years of relevant experience
Education
A degree in Computer Science, Applied Mathematics, Physics, Mechanical Engineering, Computational Science, or a related field—or...

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Role Summary

AI-generated

This Senior Developer Technology Engineer role focuses on helping partners and customers make physics and robotics simulation workloads perform well on NVIDIA GPUs. The work centers on profiling applications, identifying actual limiting factors, and writing and upstreaming production code.

What You'll Do

  • Establish and execute performance strategies with partners and customers for physics, robotics simulation, and computational-engineering...
  • Build rigorous benchmarks and performance models, profile customer applications from system architecture through GPU kernels, and...
  • Work with partner developers to improve algorithms, data structures, memory layouts, and parallel execution.
  • Collaborate with the owning NVIDIA engineering team when evidence points to a platform bottleneck.
  • Write and upstream production C++, CUDA, Python, and domain-specific GPU code into simulation platforms, partner applications, and...
  • Work across developers, NVIDIA architecture and software teams, and open technical communities to make improvements last beyond a single...

Generated from the employer's posting. Verify important details before applying.

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Qualifications

A senior engineer with 12+ years of relevant experience, a relevant degree or equivalent experience, and expert C++ and GPU parallel-programming skills.

Required

  • 12+ years of relevant experience
  • A degree in Computer Science, Applied Mathematics, Physics, Mechanical Engineering, Computational Science, or a related field—or...
  • A record of delivering large, reproducible performance improvements in production numerical, simulation, graphics, CAE, robotics, or...
  • Expert modern C++ and GPU parallel-programming ability
  • Strong foundations in mathematics, physics, numerical methods, geometry, or performance modeling

Preferred

  • 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 beyond the breakthrough through integration, maintenance, documentation, and the success...
  • Publicly inspectable stewardship of a consequential open-source engine, library, standard, benchmark, or software framework

Original job description

Content provided by the employer

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.


What you'll be doing:

  • Help our partners and customers establish and execute performance strategies for important 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 the actual limiting factors.
  • Work with partner developers to improve algorithms, data structures, memory layouts, and parallel execution. When evidence points to an NVIDIA platform bottleneck, collaborate with the owning engineering team rather than duplicating its role.
  • Understand and apply knowledge of reinforcement learning, robotic kinematics simulation setup and simulation validation to the challenges that our partners bring.
  • 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 the improvement last beyond a single engagement.

What we need to see:

  • 12+ years of relevant experience
  • A degree in Computer Science, Applied Mathematics, Physics, Mechanical Engineering, Computational Science, or a related field—or equivalent experience.
  • 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 ability, backed by strong foundations in mathematics, physics, numerical methods, geometry, or performance modeling.

Ways to stand out from the crowd:

  • 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 beyond the breakthrough through integration, maintenance, documentation, and the success of other developers.
  • Publicly inspectable stewardship of a consequential open-source engine, library, standard, benchmark, or software framework. Your implementation and technical leadership must be visible in the artifact itself.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 16, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA

About the company

NVIDIA

Large Enterprise

NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.