Position Summary

Adept is building a new class of multimodal AI models designed specifically for digital agents. Our model iteration speed depends on training performance while using some of the largest GPU clusters around. Engineers with an HPC background can help Adept iterate faster. Areas of focus on the Infrastructure team include:

• Compute - building and managing large GPU clusters training SOTA models
• Optimization - improving the utilization and reliability of those clusters
• Research - working directly with researchers to align model architecture with training performance

We value curious engineers who can engage with new problems and get things done at a startup. Our team members come from a variety of backgrounds. If you have some of these, you might be a good fit:

• 8+ years of experience as a software engineer
• Deep understanding of GPU cluster hardware, performance, interconnect, etc.
• Experience with distributed training concepts and tools, e.g., torch.distributed, NCCL, MPI, etc.
• Experience at fast-growing companies or startups
• Demonstrated end-to-end ownership and self-direction
• Comfort with moving fast and learning by doing
• Excellent communication and collaboration skills, both verbal and written

The pay range for this position in California is $175,000 - $350,000yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience. We also offer competitive equity packages in the form of stock options and a comprehensive benefits plan.