5 дней назад
Software Engineer (AI/Fullstack)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer (AI/Fullstack): Building full-stack software that uses AI to automate engineering workflows and produce design deliverables for large-scale construction projects with an accent on software architecture, performance, and integration with hardware and analysis engineering. Focus on building databases and cloud infrastructure, pushing the capabilities of AI coding agents, and developing engineering software for physical-world products.
Location: San Francisco, CA; in-person in the office 5 days per week
Company
is automating construction end to end with technology that supports the design and development of large-scale infrastructure.
What you will do
- Build full-stack software for automating engineering workflows and producing end design deliverables.
- Partner with hardware and analysis engineers in a cross-discipline environment.
- Own software architecture, performance, and implementation with a high level of autonomy.
- Use AI to automate engineering processes for utility-scale power and data center projects.
- Build and maintain databases and cloud infrastructure.
- Develop software that supports customers and products in the physical world.
Requirements
- Experience independently building full-stack applications, databases, and cloud infrastructure.
- Active interest in advancing the capabilities of AI coding agents.
- Experience building engineering or manufacturing software for physical-world products.
- Ability to identify bottlenecks, prioritize impact, and take extreme ownership.
- Hands-on execution skills and attention to implementation details.
- Ability to work in person in San Francisco, in the office 5 days per week.
Nice to have
- Experience in motorsports, defense, aerospace, manufacturing, robotics, or other real-world industries.
Culture & Benefits
- Work in a fast-paced, high-performance environment.
- Operate with substantial autonomy and extreme ownership.
- Collaborate across software, hardware, and analysis disciplines.
- Prioritize technical excellence and impact over managing or organizing others' work.
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