At NVIDIA, we’re pushing the boundaries of AI, robotics, and accelerated computing to transform industries and improve lives. We’re looking for a Developer Relations Manager to work in our Robotics ecosystem team, where you will be the primary technical liaison link between NVIDIA’s internal product/engineering teams and the global robotics community. Your mission is to drive the adoption and extension of the Newton framework and lead developers in applying NVIDIA Warp to build next-generation, GPU-accelerated solvers for robotics. You will help the world’s leading robotics authorities address the "sim-to-real" gap using differentiable physics and massively parallel simulation.
What you’ll be doing:
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.
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.
Co-design reference architectures using Newton’s multi-physics capabilities (rigid body, soft body, and cloth coupling).
Represent the robotics community to internal teams to influence the roadmaps for Newton, Warp, and Isaac Lab based on real-world requirements.
Produce "Warp-native" solver templates, white papers on differentiable simulation, and lead sessions at major conferences (GTC, ICRA, CoRL).
What We Need To See:
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).
Ways To Stand Out from the crowd:
An established network within the humanoid robotics or industrial automation sectors.
Experience simulating high-DoF systems and complex contact-rich interactions.
Confirmed use of differentiable simulation for System Identification (SysID) or design optimization.
in kernel programming (Warp, Numba, Triton) or tensor programming (JAX, PyTorch, TensorFlow).
Authoring or implementing novel solvers for fluid-structure interaction or non-smooth dynamics.
Offering attractive compensation packages and extensive employee benefits, NVIDIA is widely regarded as one of the most sought-after employers in the technology industry. We have some of the most forward-thinking and hardworking people in the world working for us, and, due to outstanding growth, our special engineering teams are growing fast. If you're a creative and autonomous professional with a genuine passion for technology, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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.Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
