4 дня назад
AI Software Engineer
115 000 - 173 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Software Engineer (Python/React/TypeScript/Go): Building AI-powered applications and agents for engineers and operators across an automated rocket factory and integrated launch platform with an accent on foundation models, retrieval, vector search, and production reliability. Focus on designing agent systems, implementing LLM evaluation pipelines, integrating data and platform infrastructure, and continuously deploying software used in physical-world manufacturing and launch operations.
Location: Long Beach, California, United States
Salary: $115,000–$173,000 USD per year
Company
develops rockets and an automated rocket factory, including the Terran R launch vehicle and software infrastructure for manufacturing and launch operations.
What you will do
- Build AI-powered applications and agents on top of foundation models for engineers and operators.
- Develop software across the full lifecycle, from concept and design through implementation and ongoing iteration.
- Collaborate directly with engineering, manufacturing, test, launch, and factory-floor stakeholders to define requirements and deliver solutions.
- Implement retrieval, vector search, agent orchestration, and LLM evaluation capabilities.
- Ship reliable, testable software through agile development, continuous integration, and continuous deployment.
Requirements
- Bachelor’s degree or higher in Computer Science or a related engineering field.
- Strong foundations in data structures, algorithms, systems, and clean, testable code.
- Hands-on experience building with large language models through coursework, projects, or self-directed work.
- Proficiency in at least one programming language and willingness to learn new languages.
- Curiosity, fast learning, and motivation to work directly with engineers and operators on the factory floor.
Nice to have
- At least one year of professional experience, including internships, research, or shipped personal and academic projects.
- Experience building agents, retrieval-augmented generation systems, or LLM evaluation pipelines.
- Familiarity with data engineering tools and modern data stacks.
- Exposure to manufacturing, hardware, robotics, or other physical-world domains.
- Open-source contributions or published research.
Culture & Benefits
- High-ownership environment focused on autonomy, impact, rapid delivery, and technical rigor.
- Competitive salary and equity.
- Generous paid time off and sick leave.
- Parental leave and an annual learning and development stipend.
- Equal opportunity workplace with reasonable accommodation support.
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