Storage Systems Engineer
New
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Develop and optimize distributed AI training and inference workloads across NVIDIA GPU clusters at scale. This new college grad role involves bringing up large-scale infrastructure, benchmarking workloads using PyTorch and TensorRT-LLM, debugging failures, and building automation tooling. You'll need a degree in Computer Science or related field, hands-on experience with multi-GPU systems and CUDA, strong Python and C++ skills, and familiarity with distributed systems debugging. Base salary ranges from $108,000–$178,250 (Level 1) or $124,000–$195,500 (Level 2), plus equity and benefits.
Written from this posting by Neural Jobs AI. The full description is below.
NVIDIA is at the forefront of the generative AI revolution, building the software and systems that power the world’s most advanced large language model workloads. We are looking for a Software Engineer focused on bring-up, triage, benchmarking, analysis, and optimization of distributed training and inference workloads across NVIDIA GPU platforms at the largest scales we run.
In this role you will help bring up, benchmark, and debug distributed LLM workloads on multi-GPU and multi-node deployments, and own the design and implementation of the benchmarking tooling, automation, and debugging workflows that support them. This is a hands-on role for an engineer who enjoys deep technical problems across deep learning systems, GPU performance, distributed computing, and large-scale operations.
What you’ll be doing:
What we need to see:
Ways to stand out from the crowd:
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, autonomous, and love a challenge, we want to hear from you.
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 - 178,250 USD for Level 1, and 124,000 USD - 195,500 USD for Level 2.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Here is what this employer asked for. Sign in and we will fill in your half.
NVIDIA builds the GPUs and the CUDA software stack that most modern AI is trained and served on, along with its own research in graphics, robotics and foundation models.
190K – 286K
Our estimate — this employer did not publish a salaryOur estimate, not the employer’s. Worked out from the middle half of 54 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.
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