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Senior Software Engineer, Compute Infrastructure for Robotics Research

NVIDIA

Software and Technology Jobs

Senior Software Engineer, Compute Infrastructure for Robotics Research

full-timePosted: Oct 8, 2025

Job Description

We are seeking a Senior Software Engineer to join a new team building the foundational infrastructure for Robotics Research. This new team will work very closely with NVIDIA’s Generalist Embodied Agent Research (GEAR) group. The near term focus is Project GR00T, NVIDIA’s moonshot initiative at building foundation models and full-stack technology for humanoid robots. This particular position will focus on compute infrastructure.You will work with an amazing and collaborative research team that consistently produces influential works on multimodal foundation models, large-scale robot learning, embodied AI, and physics simulation. Your contributions will have a significant impact on our research projects and product roadmaps.What you’ll be doing:Develop mechanisms to launch and manage large compute jobs to support multi-modal foundation models for robotics. These will include data jobs, training jobs, evaluation jobs, and so forth.Optimize GPU and cluster utilization for efficient model training, fine-tuning, and evaluation on massive datasets.Develop robust observability tools and procedures for this compute infrastructure to ensure reliability and performance.Collaborate with researchers to integrate innovative compute technologies into scalable training and eval pipelines.What we need to see:Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience5+ years of full-time industry experience in large-scale MLOps and AI infrastructureExperience with ML frameworks like PyTorch, JAX, or TensorFlow.Deep understanding of Kubernetes, experience with RayExperience with data frameworks and standards like SQL, Apache Spark, LanceDBExperience of GPU acceleration and CUDA programmingStrong programming skills in Python and a high-performance language such as C++ for efficient system development.Ways to stand out from the crowd:Master’s or PhD’s degree in Computer Science, Robotics, Engineering, or a related fieldDemonstrated Tech Lead experience, coordinating a team of engineers and driving projects from conception to deploymentDeep background at building and operating large-scale data infrastructureStrong experience and curiosity in frontier AI researchNVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world. Please join us and be part of the forefront of developing general-purpose robots and large-scale foundation models!Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until October 12, 2025.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.

Locations

  • Santa Clara, CA, US

Salary

Estimated Salary Rangemedium confidence

21,000,000 - 35,000,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • PyTorchintermediate
  • JAXintermediate
  • TensorFlowintermediate
  • Kubernetesintermediate
  • Rayintermediate
  • SQLintermediate
  • Apache Sparkintermediate
  • LanceDBintermediate
  • CUDAintermediate
  • Pythonintermediate
  • C++intermediate
  • MLOpsintermediate
  • AI infrastructureintermediate
  • GPU accelerationintermediate
  • large-scale robot learningintermediate
  • embodied AIintermediate
  • physics simulationintermediate
  • multimodal foundation modelsintermediate
  • data jobsintermediate
  • training jobsintermediate
  • evaluation jobsintermediate
  • cluster utilizationintermediate
  • observability toolsintermediate
  • compute infrastructureintermediate
  • scalable training pipelinesintermediate

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NVIDIA logo

Senior Software Engineer, Compute Infrastructure for Robotics Research

NVIDIA

Software and Technology Jobs

Senior Software Engineer, Compute Infrastructure for Robotics Research

full-timePosted: Oct 8, 2025

Job Description

We are seeking a Senior Software Engineer to join a new team building the foundational infrastructure for Robotics Research. This new team will work very closely with NVIDIA’s Generalist Embodied Agent Research (GEAR) group. The near term focus is Project GR00T, NVIDIA’s moonshot initiative at building foundation models and full-stack technology for humanoid robots. This particular position will focus on compute infrastructure.You will work with an amazing and collaborative research team that consistently produces influential works on multimodal foundation models, large-scale robot learning, embodied AI, and physics simulation. Your contributions will have a significant impact on our research projects and product roadmaps.What you’ll be doing:Develop mechanisms to launch and manage large compute jobs to support multi-modal foundation models for robotics. These will include data jobs, training jobs, evaluation jobs, and so forth.Optimize GPU and cluster utilization for efficient model training, fine-tuning, and evaluation on massive datasets.Develop robust observability tools and procedures for this compute infrastructure to ensure reliability and performance.Collaborate with researchers to integrate innovative compute technologies into scalable training and eval pipelines.What we need to see:Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience5+ years of full-time industry experience in large-scale MLOps and AI infrastructureExperience with ML frameworks like PyTorch, JAX, or TensorFlow.Deep understanding of Kubernetes, experience with RayExperience with data frameworks and standards like SQL, Apache Spark, LanceDBExperience of GPU acceleration and CUDA programmingStrong programming skills in Python and a high-performance language such as C++ for efficient system development.Ways to stand out from the crowd:Master’s or PhD’s degree in Computer Science, Robotics, Engineering, or a related fieldDemonstrated Tech Lead experience, coordinating a team of engineers and driving projects from conception to deploymentDeep background at building and operating large-scale data infrastructureStrong experience and curiosity in frontier AI researchNVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world. Please join us and be part of the forefront of developing general-purpose robots and large-scale foundation models!Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until October 12, 2025.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.

Locations

  • Santa Clara, CA, US

Salary

Estimated Salary Rangemedium confidence

21,000,000 - 35,000,000 INR / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • PyTorchintermediate
  • JAXintermediate
  • TensorFlowintermediate
  • Kubernetesintermediate
  • Rayintermediate
  • SQLintermediate
  • Apache Sparkintermediate
  • LanceDBintermediate
  • CUDAintermediate
  • Pythonintermediate
  • C++intermediate
  • MLOpsintermediate
  • AI infrastructureintermediate
  • GPU accelerationintermediate
  • large-scale robot learningintermediate
  • embodied AIintermediate
  • physics simulationintermediate
  • multimodal foundation modelsintermediate
  • data jobsintermediate
  • training jobsintermediate
  • evaluation jobsintermediate
  • cluster utilizationintermediate
  • observability toolsintermediate
  • compute infrastructureintermediate
  • scalable training pipelinesintermediate

Target Your Resume for "Senior Software Engineer, Compute Infrastructure for Robotics Research" , NVIDIA

Get personalized recommendations to optimize your resume specifically for Senior Software Engineer, Compute Infrastructure for Robotics Research. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Senior Software Engineer, Compute Infrastructure for Robotics Research" , NVIDIA

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

United States of America

Answer 10 quick questions to check your fit for Senior Software Engineer, Compute Infrastructure for Robotics Research @ NVIDIA.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.