ML and Agentic Systems Engineer
USonsitemid
Posted today · via Workday
About this role
At NVIDIA, we’re not just building the future, we’re generating it! Our Cosmos team is pushing the boundaries of multimodal AI, simulation, and world models. As we enter the next phase, we are building agentic systems that can reason about, build, evaluate, and improve AI systems themselves. We are building systems where AI doesn’t just run models but helps build them. This role is about creating the meta-layer of modern ML: the agents, tooling, pipelines, and feedback loops that make model development faster, smarter, and increasingly automated. Rather than focusing on inventing individual model architectures, you will build the systems that help models and teams improve continuously.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, iam, pytorch, teams
2
Level fit
This role is mid-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in US. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythoniampytorchteams
More at Nvidia
- View →Robotics Software Intern - Sim-to-RealSwitzerland, Zurich
- View →Memory Mask Design EngineerIndia, Bengaluru
- View →Senior System Software Engineer, DRIVE OS - Linux and QNXIndia, Bengaluru
- View →Chip Design Verification Engineer2 Locations
- View →Software QA Tools Development EngineerIndia, Pune
- View →Senior System Software Engineer, DRIVE OS - Linux and QNX3 Locations
