3 часа назад
Early Career Software Engineer (AI)
160 000 - 180 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Early Career Software Engineer (AI): Building AI-powered requirements engineering capabilities and agentic workflows for hardware engineering teams with an accent on full-stack development, LLM integrations, and systems validation. Focus on shipping production features, developing data pipelines and evaluation harnesses, and solving complex requirements engineering problems for rockets, satellites, and aircraft.
Location: San Francisco, on-site
Salary: $160K–$180K per year plus equity
Company
builds an AI-native requirements platform that helps modern engineering organizations design, validate, and evolve complex hardware systems.
What you will do
- Build and ship AI-powered features for assisted requirement drafting, consistency checks, impact analysis, and intelligent suggestions.
- Contribute to agentic workflows that help engineers explore designs, simulate changes, and validate requirements.
- Develop complete features across backend services, APIs, and user interfaces.
- Build supporting infrastructure, including data pipelines, evaluation harnesses, prompt and model management, and observability.
- Work directly with customers building rockets, satellites, and aircraft, observing usage and iterating on the product.
- Learn and apply hardware requirements engineering concepts.
Requirements
- 0–2 years of engineering experience; this is not a new graduate role.
- Strong fundamentals in data structures, algorithms, distributed systems, and software development.
- Demonstrated ability to build real software through internships, research, open-source work, or personal projects.
- Some exposure to modern LLM tooling and genuine interest in building AI systems.
- Clear technical communication and a pragmatic, customer-minded approach.
- Comfort working with ambiguity and changing priorities.
Nice to have
- Experience with TypeScript, Node.js, Python, Postgres, managed cloud services, LLM APIs, or orchestration libraries.
Culture & Benefits
- High responsibility and autonomy early in the career.
- Production code ownership from the first weeks.
- Close collaboration with experienced engineers.
- Exposure to AI engineering and deep hardware systems requirements work.
- Equity included in the compensation package.
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