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Software Engineer (AI Data Engineering)

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Software Engineer (AI Data Engineering) in USA

  • Hawthorne, CA

Responsibilities

  • Partner with engineering teams to identify repetitive, time-consuming, or error-prone work and build automation tools.
  • Process telemetry, hardware design databases, configuration files, and manufacturing and test records to automate review, flag anomalies, and surface insights.
  • Design agentic AI systems, multi-agent workflows, and MCP servers that let engineers query and act on data across internal systems.
  • Integrate automation into CI/CD pipelines, mission workflows, and review and sign-off processes.
  • Build internal web dashboards for mission status, open work, and data review results.
  • Prototype rapidly, then deliver production-grade, maintainable tools.
  • Test and validate tools, including evaluating AI outputs against known-good results for flight-critical use.
  • Prioritize work by return on investment and track engineering hours saved.
  • Work extended hours and weekends as needed.

Requirements

  • Bachelor’s degree in computer science, data science, engineering, math, or physics, or 4+ years of professional experience building automation for practical engineering use cases in lieu of a degree.
  • At least 1 year of software engineering experience focused on automation tools and/or AI integrations; professional and personal projects are applicable.
  • At least 1 year of Python programming experience.
  • Experience building tools adopted by engineers or other end users, gathering requirements, and iterating on user feedback is preferred.
  • Experience processing large engineering or scientific datasets with tools such as pandas and NumPy is preferred.
  • Experience building code or configuration generators from design databases, spreadsheets, or schemas is preferred.
  • Hands-on experience with agentic AI systems, multi-agent workflows, prompt and context engineering, tool or function calling, and MCP servers is preferred.
  • Ability to design evaluations for LLM-based tools and choose deterministic scripts when appropriate is preferred.
  • Experience integrating systems through REST APIs and learning unfamiliar tools and data sources is preferred.
  • Working knowledge of relational, non-relational, and vector databases with strong SQL skills is preferred.
  • Full-stack web application or dashboard experience, including React/TypeScript frontends and Python backends such as FastAPI or Flask, is preferred.
  • Proficiency with Linux, Git, testing, CI/CD, and monitoring is preferred.
  • Experience deploying containerized applications with Docker and Kubernetes is preferred.
  • Familiarity with hardware engineering concepts or experience transitioning from hardware or test engineering to software is preferred.
  • Strong communication skills and the ability to explain technical tradeoffs across engineering disciplines are preferred.
  • Ability to own ambiguous problems from initial concept through long-term maintenance is preferred.
  • Applicants must meet applicable ITAR authorization requirements.

Benefits

  • Base salary range is $125,000-$160,000 for Level 1 and $145,000-$195,000 for Level 2.
  • Potential eligibility for company stock or long-term cash awards, discretionary bonuses, and an Employee Stock Purchase Plan.
  • Medical, vision, dental, 401(k), short- and long-term disability, life insurance, paid parental leave, discounts, and other perks.
  • Approximately 3 weeks of paid vacation, 10 or more paid holidays, and paid sick leave under company policy.

Salary: $125k - $195k/yr

SpaceX

SpaceX builds advanced rockets and spacecraft with the aim of making human life multiplanetary, particularly focusing on establishing a sustainable presence on Mars. Its innovative technologies and ambitious missions cater to space enthusiasts, researchers, and industries looking to push the boun...

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