NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We are looking for engineers who are mindful of performance analysis and optimization to help us squeeze every last clock cycle out of Machine Learning training, inference and NVIDIA AI Services. We are working across all layers of the hardware/software stack, from GPU architecture to Machine Learning Framework, to achieve peak performance. This role offers an opportunity to directly impact the hardware and software roadmap in a fast-growing company that is leading the AI revolution across multiple domains. Work with world class software engineers to implement blazingly fast SOTA machine learning models that help understanding the end-to-end performance of NVIDIA’s DL software and hardware stack. Work on most powerful, enterprise-grade GPU clusters capable of hundreds of Petaflops and on unreleased hardware before anyone in the world.
What you'll be doing:
Perform Exploratory Data Analysis (EDA) and document recommendations
Experience with multiple ML frameworks (PyT, Jupyter Notebooks, Pandas and others)
Able to performance inference and fine tuning on existing pre-trained models
Basic knowledge of ML algorithms and evaluation techniques such as transformers, diffusion, LSTMs, SHAP
Capability to script and run workloads on standard workload management platforms e.g. MLFlow, SLURM
Collaborate with researchers and engineers across NVIDIA providing support on improving the design, usability and performance of models
What we need to see:
2-4+ years of experience in ML model implementation and SW Development
BS degree in Computer Science, Computer Architecture, Mathematics, Physics or related technical field or equivalent experience
Excellent Python programming skills, extensive knowledge of at least one ML Framework
Strong problem solving and analytical skills
Algorithms and ML fundamentals
Experience with Git or other source-control systems.
Published papers, patents or articles
NVIDIA is widely considered to be one of the technology world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
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Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 108,000 USD - 184,000 USD.You will also be eligible for equity and benefits.