Senior DL Performance Infrastructure and MLOps Engineer
We are now looking for a Senior DL Performance Infrastructure & MLOps Engineer.
NVIDIA is seeking engineers who love building
- class infrastructure, from automated
- line scripting to
- blown CI/CD systems running on some of the world's largest clusters, to support our work to accelerate training of deep neural networks like Stable Diffusion or Chat
GPT via hardware and software innovations. If you have that itch whenever the mechanical aspects of code development, performance analysis, and data processing consume any more human time than necessary, we'd like to hear from you. If you are passionate about accelerating all existing workfloads in a diverse team while also envisioning
- gen opportunities to enable new forms of hardware/software analysis and development we haven't even thought of, this is the place for you.
What you'll be doing:- Improve all tooling and automation in use in the team, from simple data collection scripts to
- scale ML CI/CD systems. - Understand and internalize workflows for GPU performance analysis and optimization so you can help us
- invent them. - Build Python-based machinery hooking into common Deep Learning software like Py
Torch or JAX to support performance analysis work. - Ruthlessly discover and chase down
- and
- related inefficiencies in the team's daily work, and dream up and implement ways to eliminate them.
What we need to see:- MS degree in CS or adjacent fields or equivalent experience
- 3+ years of relevant work experience
- Background in deep learning fundamentals and common deep learning software, especially Py
Torch/JAX - Experience in GPU computing, i. e. fundamental understanding of heterogeneous
- node accelerated computing systems - Background in analyzing and optimizing application performance
- Familiarity with containerized CI/CD flows, e. g. gitlab + docker
- Programming skills in C++, Python, and CUDA
- Deep passion related to tools, scripts, and automation
- Improve all tooling and automation in use in the team, from simple data collection scripts to
- scale ML CI/CD systems. - Understand and internalize workflows for GPU performance analysis and optimization so you can help us
- invent them. - Build Python-based machinery hooking into common Deep Learning software like Py
Torch or JAX to support performance analysis work. - Ruthlessly discover and chase down
- and
- related inefficiencies in the team's daily work, and dream up and implement ways to eliminate them.
What we need to see:- MS degree in CS or adjacent fields or equivalent experience
- 3+ years of relevant work experience
- Background in deep learning fundamentals and common deep learning software, especially Py
Torch/JAX - Experience in GPU computing, i. e. fundamental understanding of heterogeneous
- node accelerated computing systems - Background in analyzing and optimizing application performance
- Familiarity with containerized CI/CD flows, e. g. gitlab + docker
- Programming skills in C++, Python, and CUDA
- Deep passion related to tools, scripts, and automation
- MS degree in CS or adjacent fields or equivalent experience
- 3+ years of relevant work experience
- Background in deep learning fundamentals and common deep learning software, especially Py
Torch/JAX - Experience in GPU computing, i. e. fundamental understanding of heterogeneous
- node accelerated computing systems - Background in analyzing and optimizing application performance
- Familiarity with containerized CI/CD flows, e. g. gitlab + docker
- Programming skills in C++, Python, and CUDA
- Deep passion related to tools, scripts, and automation
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most
- thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love a challenge? If so, we want to hear from you! Come, join our DL Architecture team and help build the
- time,
- effective AI computing platform driving our success in this exciting and quickly growing field.
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