
High-Performance Computing Specialist
1 week ago
We're seeking a highly skilled and innovative AI Computing Expert to join our team. In this role, you'll have the opportunity to work on cutting-edge technologies for autonomous driving. You'll contribute to the development of high-performance simulation models and optimization strategies, helping us deploy AI solutions on embedded platforms such as TensorRT on NVIDIA Orin.
About the Role:
As an AI Computing Expert, you will be responsible for developing performance analysis models to identify hardware bottlenecks and proposing architectural improvements. You'll build functional and execution models to accurately simulate chip behavior and results. You'll collaborate with hardware development and testing teams to define modeling strategies and ensure designs meet specifications. Additionally, you'll work with the compiler/model compilation team to provide optimization feedback and ensure accurate simulation results.
Responsibilities:
- Develop performance analysis models to identify hardware bottlenecks and propose architectural improvements.
- Build functional and execution models to accurately simulate chip behavior and results.
- Collaborate with hardware development and testing teams to define modeling strategies and ensure designs meet specifications.
- Work with the compiler/model compilation team to provide optimization feedback and ensure accurate simulation results.
Qualifications/Requirements:
To be successful in this role, you'll need a Master's or PhD degree in Computer Science, Electrical/Computer Engineering, or related fields. Internship or academic research experience in chip modeling, performance simulation, or AI computing is preferred. You'll also need proficiency in Python, CUDA, and deep learning frameworks such as PyTorch. Experience with C++ or hardware modeling tools is a plus. Strong problem-solving skills, including the ability to identify and resolve modeling discrepancies, are essential. Finally, effective communication and teamwork skills are required, as you'll be working across multidisciplinary teams.
Key Skills:
Modeling Hardware Customerfacing Architectural PyTorch CUDA Python Team Player System Architecture C++
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