We are seeking a Senior AI/ML Performance and Efficiency Engineer to join our AI Efficiency efforts, collaborating with customers to enhance efficiency and implement progressions throughout the entire stack, and to work with researchers on various innovative ML workloads.
Requirements
- Collaborate closely with our AI/ML researchers to make their ML models more efficient
- Build tools, frameworks, and apply ML techniques to detect & analyze efficiency bottlenecks and deliver productivity improvements
- 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
- Excellent communication and collaboration skills, with the ability to work effectively with teams and individuals of different backgrounds
Benefits
- Competitive salaries
- Comprehensive benefits package
- Equity
