Software Engineer (AI Data Engineering)
About The Position
The AI Data Engineering team's mission is to accelerate engineers across the company with AI-driven tools, giving them more time to focus on critical engineering decisions. As part of the team, you will build software that transforms flight, test, and factory data into actionable decisions and insights into the hardware. You will own data pipelines, automation tools, and user-facing applications that engineers rely on daily, and accelerate these workflows with AI. The company is looking for engineers who treat teammates with fairness, respect, and support. Aerospace experience is not required. You will have full ownership of hard production problems and will work with domain experts who use these tools on the critical path to flight, across all business verticals, from design to GNC to vehicle software engineers to flight operations.
Requirements
- Bachelor's degree in computer science, data science, engineering, math, physics, or a scientific discipline; OR 2+ years of professional experience building software in lieu of a degree
- 1+ years of experience in software engineering, data engineering, or data science
Nice To Haves
- Programming experience in Python (C# or similar is a plus)
- Experience with data analysis libraries (pandas, NumPy, SciPy)
- Experience with machine learning libraries (PyTorch, TensorFlow, or similar)
- Experience with data exploration tools (Grafana, Jupyter, Metabase, or similar)
- Experience with relational databases (PostgreSQL)
- Experience building APIs and internal web applications
- Experience applying computer vision (OpenCV, Ultralytics, or similar) to production video or image review
- Familiarity with HPC or batch compute (schedulers, containers, shared filesystems) — not required; we will teach the cluster
- Good understanding of version control, testing, CI, deploy, and monitoring
- Some front-end experience (React, Angular, or similar)
- Ability to communicate clearly with users and domain experts
Responsibilities
- Develop reliable, scalable pipelines, data analysis libraries, and services on vehicle telemetry and test data
- Build and improve user-facing analysis applications
- Prototype quickly (notebooks, reports, agents, computer vision, or APIs), then productionize what proves out — including video/inspection review where it saves engineering hours
- Own software from design through test, deploy, and operation
- Deep-dive with domain experts across avionics, GNC, propulsion, structures, and launch operations
Benefits
- Company stock or long-term cash awards
- Potential discretionary bonuses
- Employee Stock Purchase Plan
- Comprehensive medical, vision, and dental coverage
- 401(k) retirement plan
- Short and long-term disability insurance
- Life insurance
- Paid parental leave
- Various other discounts and perks
- 3 weeks of paid vacation
- 10 or more paid holidays per year
- Paid sick leave
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
