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About the Role
Own client deployments at large chip companies, debugging a complex AI agent platform in strict on-prem, air-gapped customer environments. Shape the product roadmap with field learnings.
Responsibilities
- Own 1–2 large enterprise chip customer engagements end to end (3–6+ months each), from evaluation through deployment and expansion
- Debug platform (Python backend, React frontend, AI agents) in real time on customer screens, across Linux, containers, networking, and filesystems
- Drive adoption by running trainings, tracking and documenting issues, and closing the loop when fixes ship
- Contribute to the core product when there is no customer fire, and feed field learnings back into the roadmap
- Travel occasionally to customers in the South Bay, Texas, and possibly Asia
Requirements
- Proven track record owning multiple technical customer engagements or deployments end to end at the same time (FDE, founding engineer, or past founder)
- Deep Linux/Unix and systems expertise: hands-on container setup (Podman/Docker), networking, ports, NFS, symlinks, permissions
- Strong Python and the ability to quickly internalize and debug a large codebase
- Able to work on-site in San Francisco 5 days a week
- Experience at a top AI, defense, or hardware company (e.g. Palantir, Databricks, Scale AI, OpenAI, Anthropic, SpaceX, Anduril)
- Past experience as a startup founder, founding engineer, or in AI/ML
Skills
- Python
- React
- AI agents
- Linux/Unix
- Container setup (Podman/Docker)
- Networking
- Filesystems
Location
- San Francisco
Work Type
- Onsite
- Full-time
Experience Level
- 2–6 years
- Senior
Education Level
- Bachelor’s degree in CS, EE, ECE, ME, or a related engineering field from a top 40 engineering school
Salary/Compensations
- $180-250K
Benefits
- Competitive equity
- H-1B transfers only
About the Company
- Early-stage, venture-backed AI startup developing cutting-edge technology to automate complex workflows in semiconductor design and verification.
- Platform uses AI agents to streamline repetitive engineering tasks, capture institutional knowledge, and help chip design teams identify issues earlier and work more efficiently.
- Backed by prominent Silicon Valley investors, the company is a small, highly technical team building innovative solutions for some of the world's leading semiconductor companies.