Senior Developer Technology Engineer - Simulation Performance

NVIDIA
Santa Clara
Full timeUSD 224,000 - 431,250 annuallyFunction: Software EngineeringExperience: 12+ yearsEducation: bachelorsSkills: ["Technical leadership","Collaboration"]

Partner with developers and NVIDIA engineering teams to optimize physics and robotics simulation workloads on NVIDIA GPUs. Build benchmarks and performance models, profile applications from system architecture to GPU kernels, and identify true bottlenecks. Improve algorithms, data structures, memory layouts, and parallel execution, applying reinforcement learning and simulation validation. Write and upstream production C++, CUDA, Python, and GPU code into simulation platforms and reusable reference implementations.

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FursaFursa
NVIDIA
NVIDIA
6 days ago

Senior Developer Technology Engineer - Simulation Performance

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Partner with developers and NVIDIA engineering teams to optimize physics and robotics simulation workloads on NVIDIA GPUs. Build benchmarks and performance models, profile applications from system architecture to GPU kernels, and identify true bottlenecks. Improve algorithms, data structures, memory layouts, and parallel execution, applying reinforcement learning and simulation validation. Write and upstream production C++, CUDA, Python, and GPU code into simulation platforms and reusable reference implementations.
Location: Santa Clara
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key 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 applications end-to-end, and identify true limiting factors.
  • •Improve algorithms, data structures, memory layouts, and parallel execution with partner developers.
  • •Apply 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 and reusable reference implementations.

Pay and Benefits

Salary: USD 224,000 - 431,250 annually
Equity and Bonus:Equity

Key Requirements

  • •12+ 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.
  • •Record of delivering large, reproducible performance improvements in production numerical/simulation/graphics/CAE/robotics/scientific-computing systems.
  • •Expert modern C++ and GPU parallel-programming ability with strong foundations in mathematics, physics, numerical methods, geometry, or performance modeling.
Experience:12+ yearsRoboticsPhysics simulationScientific computingOpen sourceGPU performance
Education:Bachelor's
Skills:Technical leadershipCollaboration
Tech Stack:C++CUDAPythonWarpNewtonPhysXIsaac SimIsaac LabMuJoCoJAX

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
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