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Senior Software Engineer, Humanoid Robotics

NVIDIA· Engineer, Sys SW
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Santa Clara, CA$152k - $241.5kFull-timePosted 7mo ago

About the role

Senior software engineer focusing on humanoid robotics, contributing to architecture, integration, and deployment of scalable robotic solutions and AI-enabled humanoid systems.

Responsibilities

  • Build and drive the application architecture internally, with a focus on humanoid robotics, by collaborating closely with architecture and software development teams.
  • Scale the deployment and integration of robust and performant implementations of new technologies spanning whole body controller and manipulation algorithms into solutions and products.
  • Integrate hardware and software components efficiently and develop scalable software solutions. Lead profiling, benchmarking and evaluation activities for verification.
  • Provide deep technical guidance and strategies to resolve functional and system performance issues, working with internal and external partner teams.
  • Collaborate with our global engineering teams in our US, APAC, and Europe locations to deploy the solution to our customers.

Qualifications

  • 5+ years of work related experience in software development related to robotics.
  • Bachelors, Masters or equivalent experience in computer science, robotics, computer engineering, or a related field.
  • Proven track record in developing software products in the domains of machine learning and reinforcement learning, and hands-on physical robot experience, and/or publishing in robotics conferences (RSS, CoRL, ICRA, IROS, NeurIPS, etc.).
  • Established proficiency in application development and scalability for autonomous machines, and familiarity with robotics or automotive related middleware frameworks.
  • Experience with robot simulation platforms and simulation-based reinforcement learning for training and validation of robotic systems, with hands-on experience on sim-to-real transfer of RL policies being a plus.
  • Proficient in Python and C/C++, with experience in GPU programming or CUDA being a strong plus.
  • Capable of adapting quickly to new technologies and platforms.
  • Ability to adapt in a fast paced development lifecycles and multi-functional organizations.

Skills

Required:PythonC/C++
Nice to have:GPU programming / CUDA

Benefits

  • Equity
  • benefits (as listed by company)
Last updated Sep 18, 2026. Interested? Apply on the company site.

About NVIDIA

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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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