Senior Deep Learning Profiling Tools Engineer
4 weeks ago
NVIDIA's Deep Learning Architecture and Libraries Group is seeking a software engineer to contribute to the development of our performance analysis capabilities. As a member of our team, you will collaborate with GPU architects, CUDA developers, and deep learning performance engineers to design and implement innovative approaches to hardware and software profiling.
Your work will focus on developing software tools to profile and analyze AI workloads on NVIDIA systems, working with multi-disciplinary teams to design, implement, and verify new features for profiling and monitoring. You will also define software/hardware metrics for performance analysis of AI workloads and verify them for upcoming architectures.
Key Responsibilities:
- Design and develop software tools to profile and analyze AI workloads on NVIDIA systems
- Work with multi-disciplinary teams to design, implement, and verify new features for profiling and monitoring
- Define software/hardware metrics for performance analysis of AI workloads and verify them for upcoming architectures
Requirements:
- Bachelors, Masters, or PhD in relevant field (e.g. CS, EE, CE) or equivalent experience
- 8+ years of relevant experience (including graduate work if applicable)
- Proficiency in C++ and Python
- Experience with deep learning Frameworks (e.g. PyTorch, JAX, TRT, ONNX, Triton) and strong understanding of deep learning fundamentals
- Strong computer science fundamentals - algorithms, data structures, optimization, debugging, operating systems, and parallel computing
Preferred Qualifications:
- Experience with performance analysis of AI training/inference applications
- Knowledge of device drivers and/or compiler implementation
- Knowledge of GPU and/or CPU architecture and general computer architecture principles
NVIDIA offers a competitive salary range of $180,000 - $276,000, as well as equity and benefits. We are committed to fostering a diverse work environment and are an equal opportunity employer.
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