- Robot type
- Autonomous Vehicle
- Location
- SunnyvaleCaliforniaUSA
- Job type
- Artificial Intelligence
- Posted
- Feb 26, 2026
- Salary
- $336,400–$359,000 a year
Full-time
Staff ML Performance Engineer (Training Efficiency)
Job description
Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.
Job responsibilities
- Profile ML workloads to identify their bottlenecks, e.g. using NVIDIA Nsight Systems
- Design and implement efficiency improvements to maximize MFU and throughput, e.g. parallelism, model compilation, mixed precision
- Design and implement observability tools to identify bottlenecks and drive performance improvements, e.g. to track MFU, throughput, latency, etc
- Design and implement benchmarking tools, e.g. to track efficiency gains or regressions
- Collaborate closely with Research teams to integrate training efficiency improvements and create a culture of performance optimization