Senior Software Engineer, Humanoid Robotics

NVIDIA Ltd.
Santa Clara, CA, United States
24 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$152,000.0 - $241,500.0
Working hours
Regular working hours
Job source

Tech stack

Applications Architecture Software Applications C++ (Programming Language) Nvidia CUDA Computer Engineering Middleware Python (Programming Language) Machine Learning Robotic Automation Software Software Engineering Reinforcement Learning Gpu Programming
+1 more
Information Technology

Job description

You will help craft the application software architecture by working closely with external partners developing on our robotics platform and the collaborations across multiple teams within NVIDIA working on autonomous machines. You will also advance and refine the overall functional capability and quality of our solution, focusing on integration challenges and applying deep analytical skills to tease through the complexity of the system to arrive to effective and optimum solutions.

What you’ll be doing:

  • 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.

Requirements

  • 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.

Ways to stand out from the crowd:

  • Hands-on experience with real-world robotic systems and hardware of humanoid robots or mobile manipulator, particularly in loco-manipulation and dexterous hands manipulation tasks.

  • Experience with ROS 2, Isaac SIM and Isaac Lab or equivalent

  • Understanding of NVIDIA Isaac, NVIDIA GPU hardware, and CUDA

  • Contributions to or ownership of open-source project and mentorship experience.

Benefits & conditions

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

About the company

NVIDIA (Santa Clara, CA)

Join NVIDIA’s Solution Engineering team that is shaping the future of autonomous machines. Our goal is to build and deploy scalable robotic solutions and enable the next generation of AI robots. Our team is hands-on, passionate about practical results, and values diversity.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.juju.com

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