AI Forward Deployed Engineer, Lead

Role overview Make AI-assisted engineering practical across teams building software for AI accelerator hardware. You will work directly with engineers in firmware, runtime, performance, and simulation to identify time-consuming tasks, build agentic workflows around their real work, and measure whether those workflows improve results. The role reports to the platform software director and has ownership of its roadmap.

Responsibilities - Embed with engineering sub-teams and build workflows for coding, debugging, triage, test generation, and documentation. - Pair with senior engineers and earn adoption by showing measurable improvements to their work. - Own shared agent tooling and a repository of reusable, evaluated engineering skills. - Connect agents to CI and daily engineering tools for code review, log and trace triage, and silicon debugging. - Create evaluations and regression tests to measure workflow quality and catch failures. - Set standards for responsible, effective use of AI-assisted development across the team.

Requirements - The supplied description emphasizes building and evaluating agentic workflows in a hardware-software engineering environment. - Ability to work closely with experienced engineers on practical coding, debugging, test, and documentation tasks. - Capability to measure workflow quality and maintain automation with production-style regression testing.

Benefits and work setup - Remote-first setup with company-provided computer and home office equipment. - Paid medical, dental, vision, life, and disability coverage; supplemental coverage options are available. - Unlimited paid time off and 13 paid company holidays. - Salary, equity, and a 401(k) with company matching. - U.S. work authorization is required; new visa sponsorship is unavailable, though eligible H-1B transfers may be supported.