3 дня назад
Internal Acceleration Software Engineer (AI)
150 000 - 400 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Internal Acceleration Software Engineer (AI): Building LLM agents, agentic harnesses, execution environments, and full-stack internal products that accelerate hardware engineering with an accent on tool use, long-context management, memory, and evaluation. Focus on integrating agents with kernels, ASIC, hardware, and production workflows, enabling self-verification through simulators and EDA tools, and measuring adoption in business-critical systems.
Location: On-site in San Jose, United States. Relocation support is available for candidates moving to San Jose.
Salary: $150,000–$400,000+ per year, plus significant equity.
Company
builds inference-focused hardware and software infrastructure for frontier AI, co-designing chips, racks, software, and manufacturing systems.
What you will do
- Embed with kernels, ASIC, hardware, and production teams to identify bottlenecks and build engineering tools.
- Build and deploy LLM agents integrated into engineering workflows through tool calling and MCP.
- Create execution environments with sandboxed access to simulators, EDA flows, compilers, profilers, and real hardware.
- Ship full-stack internal products, including interfaces, data pipelines, and infrastructure, from zero to one.
- Design evaluations, measure adoption, and improve or discontinue tools based on results.
- Work directly with the founders on special projects and critical company milestones.
Requirements
- 1–5+ years of experience building and shipping software end to end.
- Experience building agents for complex, multi-step tasks, including tool design, long-context management, evaluations, and failure analysis.
- Strong software engineering background with experience building reliable distributed systems, experimentation infrastructure, or developer tooling.
- Ability to use coding agents extensively, investigate their transcripts, and correct confidently wrong behavior.
- High agency in unfamiliar domains, strong product sense, design taste, and exceptional attention to detail.
- Ability to work fully in person in San Jose.
Nice to have
- Exposure to chip development, kernels, hardware, or manufacturing.
- Infrastructure, data engineering, or DevOps experience.
- Experience with fine-tuning, RAG over proprietary technical data, or multi-agent orchestration.
- Startup experience, particularly in a hypergrowth environment.
Culture & Benefits
- Fully in-person work in San Jose with close collaboration across engineering, research, and hardware disciplines.
- Medical, dental, and vision coverage with generous premium support.
- $500 monthly credit for waiving medical benefits.
- $2,500 monthly housing subsidy for employees living within walking distance of the office.
- Wellness benefits, daily lunch and dinner, and an unlimited compute budget subject to ROI justification.
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