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Senior Software Engineer, Humanoid Robotics

NVIDIA Β· Santa Clara, United States

Information Technology Software & Development Full-time Posted 4 days ago

About this role

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

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. Collaborate with our global engineering teams in our US, APAC, and Europe locations to deploy the solution to our customers. What we need to see: 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

Apply for this role on NVIDIA’s official careers site.

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