6 дней назад
AI Engineer
150 000 - 250 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineer (Frontier AI Hardware): Building AI agents that transform electrical and mechanical engineering requirements into verified, manufacturable designs with an accent on CAD, EDA, simulation, and tool orchestration. Focus on designing evaluation and feedback systems, integrating engineering tools, and turning simulation and physical test data into reliable design automation.
Location: On-site in San Jose, California. Relocation support is available for candidates moving to San Jose.
Base compensation: $150,000–$250,000 per year, plus significant equity.
Company
builds frontier AI hardware by co-designing chips, racks, software, cooling systems, and manufacturing processes, with a focus on inference.
What you will do
- Build AI systems that transform engineering requirements into verified electrical and mechanical designs and manufacturing outputs.
- Develop agents that operate CAD, EDA, and simulation tools, run experiments, diagnose failures, and iterate on designs.
- Create workflows covering component selection, schematic capture, PCB layout, mechanical CAD, assemblies, thermal analysis, and electrical and structural simulation.
- Build tool integrations and representations for geometry, connectivity, materials, tolerances, and coupled engineering constraints.
- Design evaluations and feedback models using design-rule checks, simulation results, engineering reviews, and physical measurements.
- Ship agent-generated designs with electrical, mechanical, and manufacturing teams while measuring improvements in design time, hardware performance, and engineering effort.
Requirements
- Hands-on experience building and shipping LLM-based agents or AI tooling, including context engineering, tool integration, orchestration, evaluation, and failure analysis.
- Strong software engineering skills, especially in Python, with the ability to build reliable integrations and debug complex systems.
- Interest, experience, or academic exposure to electrical or mechanical engineering, or the ability to learn technical domains deeply enough to build useful tools.
- Ability to reason about physical constraints and distinguish plausible designs from verified designs.
- Experience using AI tools to learn and solve new problems, with an evaluation-driven approach to improving system performance.
- Ability to work fully in person in San Jose.
Nice to have
- Experience automating CAD or EDA tools through APIs, scripting, plugins, or GUI interaction.
- Knowledge of schematic design, PCB layout, component selection, power delivery, or signal and power integrity.
- Experience with parametric CAD, mechanical assemblies, tolerance analysis, thermal management, CFD, or FEA.
- Experience with design optimization, constraint solving, model fine-tuning, multimodal engineering reasoning, or hardware fabrication and testing.
Culture & Benefits
- Fully in-person work in San Jose with dedicated in-office compute.
- 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.
- Relocation support, wellness benefits, and daily lunch and dinner in the office.
- Unlimited compute budget subject to return-on-investment justification.
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