NVIDIA
Senior Software Engineer, Compute Infrastructure for Robotics Research
NVIDIA, Myrtle Point, Oregon, United States, 97458
Overview
Employer Industry: Technology - Robotics and Artificial Intelligence
Why consider this job opportunity:
Base salary range: $224,000 - $356,500 for Level 5; $272,000 - $425,500 for Level 6
Opportunity for equity and comprehensive benefits
Work with a collaborative and innovative research team at the forefront of AI and robotics
Significant impact on research projects and product roadmaps
Engage in cutting-edge technology and frontier AI research
Join one of the technology world's most desirable employers
Responsibilities
Develop mechanisms to launch and manage large compute jobs for robotics-related multi-modal foundation models
Optimize GPU and cluster utilization for efficient model training and evaluation on large datasets
Create robust observability tools and procedures to ensure reliability and performance of compute infrastructure
Collaborate with researchers to integrate innovative compute technologies into scalable training and evaluation pipelines
Qualifications
Bachelor\'s degree in Computer Science, 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 such as PyTorch, JAX, or TensorFlow
Deep understanding of Kubernetes and experience with Ray
Proficiency in GPU acceleration and CUDA programming, along with strong programming skills in Python and C++
Preferred Qualifications
Master’s or PhD in Computer Science, Robotics, Engineering, or a related field
Demonstrated experience as a Tech Lead, coordinating a team of engineers
Extensive background in building and operating large-scale data infrastructure
Strong experience and curiosity in frontier AI research
#Robotics #ArtificialIntelligence #MLOps #TechLead #DiversityInTech
"We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer."
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Why consider this job opportunity:
Base salary range: $224,000 - $356,500 for Level 5; $272,000 - $425,500 for Level 6
Opportunity for equity and comprehensive benefits
Work with a collaborative and innovative research team at the forefront of AI and robotics
Significant impact on research projects and product roadmaps
Engage in cutting-edge technology and frontier AI research
Join one of the technology world's most desirable employers
Responsibilities
Develop mechanisms to launch and manage large compute jobs for robotics-related multi-modal foundation models
Optimize GPU and cluster utilization for efficient model training and evaluation on large datasets
Create robust observability tools and procedures to ensure reliability and performance of compute infrastructure
Collaborate with researchers to integrate innovative compute technologies into scalable training and evaluation pipelines
Qualifications
Bachelor\'s degree in Computer Science, 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 such as PyTorch, JAX, or TensorFlow
Deep understanding of Kubernetes and experience with Ray
Proficiency in GPU acceleration and CUDA programming, along with strong programming skills in Python and C++
Preferred Qualifications
Master’s or PhD in Computer Science, Robotics, Engineering, or a related field
Demonstrated experience as a Tech Lead, coordinating a team of engineers
Extensive background in building and operating large-scale data infrastructure
Strong experience and curiosity in frontier AI research
#Robotics #ArtificialIntelligence #MLOps #TechLead #DiversityInTech
"We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer."
#J-18808-Ljbffr