What we need to see: BSc/MSc in CS/CE or related field (or equivalent experience) At least 8 years of experience in ML engineering A track record of deploying LLMs and agents to production Proficiency in Python and/or C++, with a deep understanding of ML/AI frameworks. Hands-on experience with microservices, container orchestration, and cloud platforms for large-scale training and inference workloads. Knowledge of ML training and inference optimization techniques. Understanding of build infrastructure and CI/CD tools and practices (e.g. GitLab, GitHub Actions, Jenkins) Experience with teaching and mentoring. You are a proactive owner who takes pride in your work but remains humble and approachable. You believe that "how" we build is just as important as "what" we build. Excellent collaboration skills, with the ability to explain complex infra concepts to non-technical stakeholders clearly and kindly. Ways to stand out from the crowd Experience deploying and optimizing generative models and multi-agent systems for performance. Deep systems knowledge (Linux internals, network protocols, or high-performance computing). A background in security research, including knowledge of firewalls, intrusion detection, or network architectures. NVIDIA has some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. We are 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 charac
