This role pays less than
53%
of similar roles. Most pay
$170,412–$235,750
— the shaded band above.
At the midpoint, this role pays about
$197k
versus about
$203k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
892 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 870 roles with salary data.
As a Senior Software Engineer, Humanoid Robotics on the Solution Engineering team, you will shape the future of autonomous machines by crafting application software architecture and developing scalable robotic solutions. You will work closely with internal teams and external partners to integrate hardware and software components, focusing on whole body controller and manipulation algorithms. Your daily responsibilities include leading profiling, benchmarking, and evaluation activities while providing technical guidance to resolve complex system performance issues. The role requires expertise in Python, C/C++, and potentially CUDA or GPU programming. You will navigate the complexities of humanoid robotics and mobile manipulators using tools like ROS 2, Isaac SIM, and Isaac Lab. Key domain areas include machine learning, reinforcement learning, sim-to-real transfer, and automotive middleware frameworks to solve integration challenges for autonomous machines.
What does a Software Engineer earn in California?
Median $214000 from 777 postings across 68 companies.
Design and drive the application software architecture for humanoid robotics systems.
Scale the deployment of whole body controller and manipulation algorithms into products.
Integrate hardware and software components to create scalable robotic solutions.
Lead profiling, benchmarking, and evaluation activities to verify system performance.
Provide technical guidance to resolve complex functional and system performance issues.
Develop software for machine learning and reinforcement learning applications in robotics.
Utilize simulation platforms for training, validation, and sim-to-real transfer of policies.
What we're looking for
5+ years of work related experience in software development related to robotics.
Bachelor's, Master's, or equivalent experience in computer science, robotics, computer engineering, or a related field.
Proven track record in machine learning and reinforcement learning, hands-on physical robot experience, and/or publishing in robotics conferences.
Proficiency in application development and scalability for autonomous machines with familiarity with robotics or automotive middleware frameworks.
Experience with robot simulation platforms and simulation-based reinforcement learning (sim-to-real transfer of RL policies is a plus).
Proficiency in Python and C/C++ are required; experience in GPU programming or CUDA is a strong plus.
Hands-on experience with real-world humanoid robots or mobile manipulators, particularly in loco-manipulation and dexterous hands manipulation (preferred).
Experience with ROS 2, Isaac SIM, Isaac Lab, NVIDIA Isaac, or ownership of open-source projects (preferred).
NVIDIA Isaac
Isaac Sim
Isaac Lab
Isaac ROS
Jetson Thor
CUDA-X
TensorRT
OpenUSD
MuJoCo
LeRobot
Reinforcement Learning
Imitation Learning
Synthetic Data Generation
Teleoperation
Edge Deployment