32 results for Performance Engineer Jobs in Berkeley, CA, US

Responsible for developing and debugging code to identify and fix performance issues, analyzing production workloads, designing and maintaining performance benchmarks, and collaborating with engineers on designs and code reviews. The role focuses on improving the performance and resilience of Fivetr...

About Our TeamChef Robotics is on a mission to accelerate the advent of intelligent machines in the physical world. As the rise of LLMs like ChatGPT has shown, AI has the potential to drive immense change. However, we believe AI’s biggest impact will be in the physical world, given industries like m...

Responsible for optimizing inference engines to enhance performance and efficiency, developing and deploying CUDA kernels for deep learning workloads, conducting performance analysis, engaging with the AI research community, improving internal documentation, and collaborating with cross-functional t...

Responsible for monitoring robot fleet performance, performing root-cause analysis for incidents, liaising with cross-functional teams to resolve performance issues, and designing test plans to prevent bugs in production.

About the Team Our mission is to make performance an integral part of DoorDash's software development lifecycle and empower developers to push the limits of the systems they design and develop. We are responsible for providing tools and capabilities to preemptively identify and address performance, ...

Responsible for optimizing the performance of large generative AI models, implementing distributed training strategies, profiling model performance, and developing benchmarking suites for continuous monitoring.

We are Genmo, a research lab dedicated to building open, state-of-the-art models for video generation towards unlocking the right brain of AGI. Join us in shaping the future of AI and pushing the boundaries of what's possible in video generation.Role overview:As a Deep Learning Performance Engineer ...

Interns will gain real-world experience in construction management through tasks such as writing proposals, preparing bid analyses, understanding project scheduling, managing subcontractors, and maintaining project documentation.

Interns will learn to write proposals, prepare bid analyses, understand project scheduling, manage subcontractors, assist in quantity take-offs, maintain project documentation, and ensure job site safety while receiving mentorship and completing tasks outlined in an Intern Activities Checklist.

Develop the Thunder compiler and engage in performance-oriented model optimizations, focusing on distributed training and inference. Create optimized kernels in CUDA or Triton, integrate Thunder throughout the PyTorch Lightning ecosystem, and support community engagement and project adoption.