Senior Manager, Robotics Customer Trainer
Medtronic
Senior Software Engineer, Data Infrastructure for Robotics Research
NVIDIA
full-time
Posted on:
Location Type: Remote
Location: Remote • California • 🇺🇸 United States
Visit company websiteSalary
💰 $224,000 - $425,500 per year
Job Level
Senior
Tech Stack
ApacheETLKubernetesPythonPyTorchRaySparkSQLTensorflow
About the role
- Join a new team building the foundational infrastructure for Robotics Research and work closely with NVIDIA’s Generalist Embodied Agent Research (GEAR) group.
- Focus on Project GR00T: building foundation models and full-stack technology for humanoid robots, with emphasis on data infrastructure.
- Design and maintain large-scale distributed data ETL and data management systems to support multi-modal foundation models for robotics.
- Optimize GPU and cluster utilization for efficient model training and fine-tuning on massive datasets.
- Implement scalable data loaders and preprocessors tailored for multimodal datasets, including videos, text, and sensor data.
- Develop robust observability tools and procedures for this data infrastructure to ensure reliability and performance.
- Collaborate with researchers to integrate cutting-edge data technologies into scalable training and eval pipelines.
- Contribute to research projects and product roadmaps with significant impact on NVIDIA's robotics initiatives.
Requirements
- Bachelor's degree in Computer Science, Robotics, Engineering, or a related field (or equivalent experience).
- 12+ years of full-time industry experience in large-scale MLOps and AI infrastructure.
- Experience with ML frameworks like PyTorch, JAX, or TensorFlow.
- Experience with Kubernetes and Ray.
- Deep understanding of data frameworks and standards like SQL, Apache Spark, LanceDB.
- Experience of GPU acceleration and CUDA programming.
- Strong programming skills in Python and a high-performance language such as C++.
- Master’s or PhD’s degree in Computer Science, Robotics, Engineering, or a related field (preferred).
- Demonstrated Tech Lead experience, coordinating a team of engineers and driving projects from conception to deployment (preferred).
- Strong experience at building and operating large-scale data infrastructure (preferred).
- Strong experience and curiosity in frontier AI research (preferred).
Benefits
- You will also be eligible for equity and benefits.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
MLOpsAI infrastructureETLdata management systemsGPU accelerationCUDA programmingPythonC++ML frameworksdata frameworks
Soft skills
Tech Lead experienceteam coordinationproject managementcollaborationcuriosity in AI research
Certifications
Bachelor's degreeMaster’s degreePhD