Senior Deep Learning Engineer

What You'll Be Doing

• Continuously keeping up to date on the latest advancements in generative AI research.
• Analyzing and prototyping emerging workloads in multi-agent AI systems, generative multimodal models, and inference-time compute scaling.
• Pioneering and developing optimizations for these workloads across the inference stack to push the boundaries of inferencing quality and speed on NVIDIA systems.
• Collaborating closely with production teams to incorporate the latest advancements into cutting-edge software frameworks.

What We Need To See

• 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.

Ways To Stand Out From The Crowd

• Published research or noteworthy contributions to the field of deep learning, particularly in areas such as inference-time compute, multimodal generation, AI systems, etc.
• Experience with prototyping or deployment of agentic AI systems and/or multimodal generation models.
• Experience with collaborating across algorithms, software and performance teams to deliver high quality solutions.
• Familiarity with computer architecture and how it relates to AI algorithms development.

Base Salary Range: $152,000 - $241,500 for Level 3, and $184,000 - $287,500 for Level 4.

Benefits: Eligible for equity and benefits.

Application Deadline: May 31, 2026.