Internal Acceleration, Engineer (Production)
$150k - $400k • San Jose • FullTime
Posted 2d ago
Job Location
San Jose
Tech Stack
Remote Work Policy
On-site
Employment Type
FullTime
Categories
AI Agent Engineer
About the job
Our Internal Acceleration team is building agents to accelerate the production of frontier tokens. You will work directly with founders and embed with our production team to create new agentic harnesses and operating systems, transforming hardware development in an AI-native world. Success is measured by how much faster the company moves, not just lines of code. This role is for engineers who thrive on ambiguity, possess strong product sense, and want to own problems end-to-end, acting as a launchpad for future founders. The problems are time-sensitive and business-critical, and the role demands dedication beyond a typical 9-5.
Responsibilities
- Embed with the production team to identify high-leverage bottlenecks and own them from concept to daily use by engineers.
- Build and deploy LLM agents integrated into engineering workflows using tool-calling and MCP.
- Ship full-stack internal products from inception, including interfaces, data pipelines, and infrastructure.
- Design evaluations and track adoption to identify and prioritize effective tools.
- Undertake special projects with founders, identifying company-wide problems and driving solutions to meet critical milestones.
Requirements
- 1-5+ years of experience building and shipping software end-to-end, preferably at a fast-moving startup.
- Strong full-stack skills, with a focus on shipping functional solutions.
- Experience building LLM agents or AI tooling used by real users, including context engineering, tool integration, evals, and failure analysis.
- Proficiency in using AI for rapid learning in unfamiliar domains, with agentic coding tools and frontier models as primary work methods.
- Demonstrated product sense, design taste, and extreme attention to detail.
- High degree of agency, with the ability to identify and solve core problems.
- Exposure to chip development, kernels, hardware, or manufacturing (preferred).
- Infrastructure, data engineering, or DevOps experience (preferred).
- Experience with fine-tuning, RAG over proprietary technical data, or multi-agent orchestration (preferred).
- Startup experience, particularly during hypergrowth (preferred).
Benefits
- Medical, dental, and vision packages with generous premium coverage
- $500 per month credit for waiving medical benefits
- Housing subsidy of $2,500 per month for those living within walking distance of the office
- Relocation support for those moving to San Jose (Santana Row)
- Various wellness benefits covering fitness, mental health, and more
- Daily lunch and dinner in our office
- Unlimited compute budget subject to ROI justification
- Significant Equity