Senior Pretraining Engineer (Video & Multimodal AI)

Location: Bay Area, California; onsite. The R&D operation will be based in San Jose.

Salary: $250,000–$400,000 annually, with equity mentioned for some compensation packages.

Company

Early-stage robotics company building an integrated AI and robotics stack for highly autonomous manufacturing.

What you will do

• Own large-scale video and multimodal pre-training runs.
• Train models across substantial distributed GPU infrastructure.
• Develop generative approaches using flow matching and diffusion.
• Diagnose instability, convergence issues, and failures in expensive training runs.
• Improve training efficiency, reliability, and experiment velocity.
• Collaborate with robotics, simulation, perception, and systems engineers to turn research ideas into working systems.

Requirements

• Experience with large-scale video, vision, or multimodal pre-training.
• Experience with distributed training and substantial GPU compute.
• Experience training large models on large datasets and debugging failures at scale.
• Knowledge of flow matching, diffusion models, or related generative methods.
• Strong software engineering and training-systems fundamentals.
• Ability to design experiments where compute costs make errors consequential and explain failed training runs.

Culture & Benefits

• Onsite work within a broad engineering environment spanning robot learning, reinforcement learning, perception, simulation, rendering, GPU optimization, and hardware-software co-design.
• Work focused on applying AI to physical systems and autonomous manufacturing rather than only benchmark performance.
• Opportunity to build systems from first principles in an early-stage robotics environment.