Senior Developer Relations Manager, Robotics Physics and Simulation

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA

NVIDIA is seeking a Senior Developer Relations Manager for their Robotics ecosystem team. This role serves as a technical liaison between internal NVIDIA teams and the global robotics community, focusing on driving adoption of the Newton framework and guiding developers in using NVIDIA Warp for GPU-accelerated solvers. The goal is to help bridge the "sim-to-real" gap through differentiable physics and large-scale simulation.

What you'd actually do

  1. Drive global adoption of the Newton framework. Partner with industry leaders, academic researchers, and major ISVs to integrate specific solvers (FEM, MPM, granular dynamics) into the Newton ecosystem.
  2. Lead technical advisory for NVIDIA Warp, helping developers write high-performance GPU kernels for physics and geometry processing across real-time and multi-platform systems.
  3. Co-design reference architectures using Newton’s multi-physics capabilities (rigid body, soft body, and cloth coupling).
  4. Represent the robotics community to internal teams to influence the roadmaps for Newton, Warp, and Isaac Lab based on real-world requirements.
  5. Produce "Warp-native" solver templates, white papers on differentiable simulation, and lead sessions at major conferences (GTC, ICRA, CoRL).

Skills

Required

  • computational physics
  • geometry processing
  • numerical simulation
  • physics engine development
  • robotics software
  • physics solvers
  • robotics math
  • Multibody Dynamics
  • Inverse Kinematics
  • trajectory optimization
  • motion planners
  • sensor noise modeling
  • actuator dynamics modeling
  • contact mechanics
  • GPGPU programming
  • CUDA kernels
  • thread synchronization
  • memory hierarchies
  • Warp
  • NVIDIA Warp
  • Newton framework
  • Isaac Lab

Nice to have

  • differentiable simulation
  • System Identification (SysID)
  • design optimization
  • kernel programming
  • Warp
  • Numba
  • Triton
  • tensor programming
  • JAX
  • PyTorch
  • TensorFlow
  • fluid-structure interaction solvers
  • non-smooth dynamics solvers
  • humanoid robotics
  • industrial automation
  • high-DoF systems simulation
  • complex contact-rich interactions simulation

What the JD emphasized

  • 8+ years in tech and hands-on in computational physics, geometry processing, numerical simulation, physics engine development, or robotics software.
  • Master’s or PhD in Computer Science, Physics, Mechanical Engineering, or a related field with a focus on simulation (or equivalent experience).
  • Physics & Robotics Foundations: Deep understanding of physics solvers (XPBD, VBD, Semi-Implicit Euler) and robotics math (kinematics, dynamics, contact modeling).
  • Expertise in Multibody Dynamics (Featherstone’s algorithms, RNEA, Spatial Vector Algebra).
  • Strong grasp of Inverse Kinematics (IK), trajectory optimization, and motion planners (OMPL).
  • Practical experience modeling sensor noise, actuator dynamics (latency, friction, hysteresis), and contact mechanics to bridge the "Reality Gap."
  • Proven GPGPU programming skills (CUDA kernels, thread synchronization, memory hierarchies).
  • Ability to translate sophisticated numerical methods into value propositions for both PhD or equivalent experience researchers and C-suite executives.
  • Track record of contributions to major projects (e.g., MuJoCo, PyBullet, Drake).