Senior AI Performance and Efficiency Engineer

Collaborate closely with our AI/ML researchers to make their ML models more efficient leading to significant productivity improvements and cost savings

Build tools, frameworks, and apply ML techniques to detect & analyze efficiency bottlenecks and deliver productivity improvements for our researchers

Work with researchers working on a variety of innovative ML workloads across Robotics, Autonomous vehicles, LLM’s, Videos and more

Collaborate across the engineering organizations to deliver efficiency in our usage of hardware, software, and infrastructure

Proactively monitor fleet wide utilization patterns, analyze existing inefficiency patterns, or discover new patterns, and deliver scalable solutions to solve them

Keep up to date with the most recent developments in AI/ML technologies, frameworks, and successful strategies, and advocate for their integration within the organization.

BS or similar background in Computer Science or related area (or equivalent experience)

Minimum 5+ years of experience designing and operating large scale compute infrastructure

Strong understanding of modern ML techniques and tools

Experience investigating, and resolving, training & inference performance end to end

Debugging and optimization experience with NSight Systems and NSight Compute

Experience with debugging large-scale distributed training using NCCL

Proficiency in programming & scripting languages such as Python, Go, Bash, as well as familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) in addition to experience with parallel computing frameworks and paradigms.

Dedication to ongoing learning and staying updated on new technologies and innovative methods in the AI/ML infrastructure sector.