Role overview
NVIDIA is seeking a Senior MLOps Engineer to help design and scale the infrastructure that powers our AI research and product development. In this role, you will partner closely with research scientists and product teams to accelerate their success on the latest GPU and accelerator platforms. By building robust ML pipelines and scalable systems, you will ensure that cutting-edge hardware innovations translate directly into faster experiments, more efficient training, and reproducible deployments at scale. This is an opportunity to shape how NVIDIA’s world-class research teams turn ideas into breakthroughs.
What we're looking for
- BS in Computer Science, Information Systems, Computer Engineering or equivalent experience
- 8+ years of experience in large-scale software or infrastructure systems, with 5+ years dedicated to ML platforms or MLOps.
- Proven track record designing and operating ML infrastructure for production training workloads.
- Expert knowledge of distributed training frameworks (PyTorch, TensorFlow, JAX) and orchestration systems (Kubernetes, Slurm, Kubeflow, Airflow, MLflow).
- Strong programming experience in Python plus at least one systems language (Go, C++, Rust).
- Deep understanding of GPU scheduling, container orchestration, and cloud-native environments.
- Experience integrating observability stacks (Prometheus, Grafana, ELK) with ML workloads.
- Familiarity with storage and data platforms that support large-scale training (object stores, feature stores, versioned datasets).
- Strong communication abilities, collaborating effectively with research teams to transform requirements into scalable engineering solutions.
- Practical experience supporting research teams in expanding models on the newest GPU or accelerator hardware.
- Contributions to open-source MLOps or ML infrastructure projects.
- Proficiency in optimizing multi-node training tasks throughout extensive GPU clusters and familiarity with extensive ETL and data pipeline software/infrastructure for both structured and unstructured data.
- Knowledge of security, compliance, and governance requirements for ML in regulated environments.
- Demonstrated capability in connecting research and production by directing scientists on guidelines while providing reliable infrastructure.
NVIDIA is at the forefront of pioneering advancements in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, our innovation, acts as the visual cortex of modern computers and forms the core of our offerings. Our efforts unlock new realms for exploration, facilitate outstanding creativity and discovery, and drive what were previously science-fiction innovations—from artificial intelligence to autonomous vehicles. We are seeking remarkable individuals like you to assist us in propelling the next AI wave!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until October 6, 2025.NVIDIA is committed to fostering a diverse 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.
JR2004480