
Performance Optimization Engineer
4 days ago
This is an exciting opportunity to work on cutting-edge technologies for autonomous driving.
You will contribute to the development of high-performance simulation models and optimization strategies, helping us deploy AI solutions on embedded platforms.
Key responsibilities include:
- Developing performance analysis models to identify hardware bottlenecks and proposing architectural improvements.
- Building functional and execution models to accurately simulate chip behavior and results.
- Collaborating with hardware development and testing teams to define modeling strategies and ensure designs meet specifications.
- Working with the compiler/model compilation team to provide optimization feedback and ensure accurate simulation results.
- Developing custom CUDA operators in PyTorch that maintain data consistency between model and hardware.
To be successful in this role, you should have a strong interest in system architecture and performance analysis, as well as experience with programming languages such as Python, C++, and PyTorch.
We welcome individuals who are eager to learn, innovate, and make a real-world impact.
Requirements:- Masters or PhD degree in Computer Science, Electrical/Computer Engineering, or related fields.
- Experience with chip modeling, performance simulation, or AI computing.
- Strong problem-solving skills and ability to identify and resolve modeling discrepancies.
- Effective communicator and team player capable of working across multidisciplinary teams.
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