Senior Performance Engineer
3 weeks ago
NVIDIA is seeking a highly skilled Senior Performance Engineer to join our team. As a key member of our organization, you will play a critical role in building and optimizing the tools Deep Learning engineers use to design, develop, and deploy AI applications.
Key Responsibilities:
- Develop and optimize open-source libraries, such as Transformer Engine, to enable fast training of Large Language Models using low-precision data formats.
- Study and tune Deep Learning training workloads at large scale, including important enterprise models.
- Build and support NVIDIA submissions to community benchmarks like MLPerf.
- Optimize the performance of influential, modern Deep Learning models coming out of academic and industry research, for NVIDIA GPUs and systems.
- Explore new technologies and advise on the design of new hardware generations and core platform software components.
Requirements:
- BS in Computer Science, Electrical Engineering, or a related field (or equivalent experience).
- Demonstrated ability with 6+ years of C++ and Python programming.
- Strong background in parallel programming, preferably on GPUs.
- Knowledge of Computer Architecture and/or Operating Systems.
- Proven experience developing large software projects.
- Excellent verbal and written communication skills.
Preferred Qualifications:
- Experience with Deep Learning Frameworks, such as PyTorch, JAX, TensorFlow, or MXNet.
- Experience training language models.
- Background in performance analysis and profiling of workloads.
- Participation in the open-source community.
- Proven experience working with multidisciplinary teams.
NVIDIA offers a competitive salary range of $180,000 - $339,250 USD, based on location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis and is committed to fostering a diverse work environment and proud to be an equal opportunity employer.
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