обновлено 1 день назад
Senior Manager, Software Engineering (Physical AI)
197 004 - 275 805$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Manager, Software Engineering (Physical AI) (AI/Aerospace): Leading the enterprise Physical AI engineering team building AI-native systems that accelerate aerospace requirements, design, simulation, analysis, build, and operations with an accent on generative AI, agentic systems, and reliable distributed infrastructure. Focus on hiring and mentoring engineering teams, integrating LLM platforms, optimizing production performance and cost, and solving complex challenges in safe human spaceflight.
Location: Greater Seattle Area, United States. Travel up to 10% of the time. Applicants must be a U.S. citizen or national, U.S. permanent resident, or lawfully admitted refugee or asylee.
Base pay for Washington applicants: $197,004–$275,805.60 per year. Other site ranges may differ.
Company
Develops reusable, safe, and low-cost space vehicles and systems, supported by enterprise digital infrastructure and AI technologies.
What you will do
- Lead the enterprise Physical AI software engineering team building AI products for requirements, design, simulation, analysis, build, and operations.
- Hire, staff, grow, and mentor software engineers and future technical leaders.
- Partner with customers, product managers, and Emerging Technology leaders to define and execute the Physical AI roadmap.
- Collaborate with Anthropic, AWS, OpenAI, and other AI service providers to integrate secure, market-leading capabilities.
- Own production performance, reliability, cost, and quality for Physical AI systems.
- Provide technical leadership and contribute to the AI and Emerging Technologies engineering strategy.
Requirements
- Bachelor’s degree in computer science, engineering, or a related field.
- 8+ years of software engineering experience, including at least 3 years in management.
- Experience leading software projects from inception through delivery and managing engineering teams.
- Experience with generative AI systems, including agentic harnesses, MCP, agent memory and state management, retrieval-augmented generation, and knowledge graphs.
- Experience with software architecture, distributed backend systems, cloud environments such as AWS, and applying AI to business problems.
- Must meet U.S. export-control eligibility requirements and complete the required background check.
Nice to have
- Experience with design and product definition in regulated industries.
- Experience with simulations, digital twins, and synthetic data generation.
- Experience in aerospace or defense and familiarity with aerospace compliance requirements.
Culture & Benefits
- Safety, collaboration, inclusion, and continuous improvement are central to the working environment.
- Medical, dental, vision, life insurance, disability coverage, and paid parental leave.
- 401(k) with company match of up to 5% and an Education Support Program.
- Stock options for regular employees working at least 20 hours per week.
- Up to four weeks of paid time off and up to 14 company-paid holidays.
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