Group Product Manager – AI Infrastructure
Lambda
CloudDistributed Systems
Senior Deep Learning Engineer
NVIDIA
full-time
Posted on:
Location Type: Hybrid
Location: Redmond • California, Washington • 🇺🇸 United States
Visit company websiteSalary
💰 $148,000 - $287,500 per year
Job Level
Senior
Tech Stack
PyTorch
About the role
- Keeping abreast of the latest advancements in generative AI research.
- Prototyping and analyzing emergent techniques in the test-time compute space such as output refinement, speculation, and retrieval.
- Identifying opportunities for algorithmic as well as system optimizations.
- Pioneering the development of innovative optimizations to enable high quality inferencing on NVIDIA GPUs.
- Collaborating closely with production teams to incorporate the latest advancements into cutting-edge software frameworks.
Requirements
- Master's degree (or equivalent experience) in Computer Science, Artificial Intelligence, Applied Mathematics, or related fields.
- A strong foundation in deep learning, with a particular emphasis on generative models and inferencing.
- A track record of at least 5 years of relevant software development experience in modern deep learning frameworks such as PyTorch.
- Growth mindset and pragmatic attitude.
Benefits
- equity
- benefits 📊 Resume Score Upload your resume to see if it passes auto-rejection tools used by recruiters Check Resume Score
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
deep learninggenerative modelsinferencingalgorithm optimizationsystem optimizationoutput refinementspeculationretrievalsoftware developmentNVIDIA GPUs
Soft skills
growth mindsetpragmatic attitude
Certifications
Master's degree in Computer ScienceMaster's degree in Artificial IntelligenceMaster's degree in Applied Mathematics
