Senior Research Engineer - Video Search
USonsitesenior
Posted today · via Workday
About this role
NVIDIA is the platform upon which every new AI-powered application is built. We are seeking a senior research engineer to design and build video search technologies for Autonomous Vehicles, Robotics, and Medical applications. The right person for this role brings technical innovation and collaborative culture to change the way NVIDIA builds dataset search platforms for physical AI developers. Our dataset search offerings are ease to use, performant and scalable. Your work will redefine the search capabilities in NVIDIA product offerings and impact the most iconic companies in Physical AI. What you'll be doing: Develop and integrate innovative video search approaches, such as VLMs and agentic search at exabyte scale.…
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, pytorch
2
Level fit
This role is senior-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.
pythonpytorch
More at Nvidia
- View →Senior Software Engineer, Subnet ManagementUS, CA, Santa Clara
- View →Senior Silicon Validation and Methodology EngineerChina, Shanghai
- View →Senior Firmware EngineerUS, CA, Santa Clara
- View →Senior Applied Machine Learning Engineer - VLSI DesignUS, CA, Santa Clara
- View →Solutions Architect - Top AI LabsChina, Beijing
- View →Software Engineer, DGX Cloud AI InfrastructureUS, CA, Santa Clara
