Software Engineer (AI Data Engineering)
AI in this role
Build AI-driven data pipelines, analytics applications, and automation tools to accelerate engineering workflows at SpaceX.
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.
SOFTWARE ENGINEER (AI DATA ENGINEERING)
The AI Data Engineering team is more than just some products, our mission is to accelerate engineers across the company with AI driven tools, giving them more time to decide whether Starship is good for launch, a Starlink satellite is good to leave the factory, and the next design iteration works.
As part of the team, you will build software that turns flight, test, and factory data, into actionable decisions and insights into the hardware. You’ll own data pipelines, automation tools, and user-facing application that engineers rely on every day, and accelerate these workflows with AI.
We are 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.
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
BASIC QUALIFICATIONS:
- 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
PREFERRED SKILLS AND EXPERIENCE:
- 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
ADDITIONAL REQUIREMENTS:
- Position is based in Hawthorne, CA and is primarily on-site
- Willing to work extended hours and weekends when needed
- Willing to travel when needed
COMPENSATION AND BENEFITS:
Pay Range:
Level 1: $125,000.00 - $160,000.00
Level 2: $145,000.00 - $195,000.00
Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.
Base salary is just one part of your total rewards package at SpaceX. You may also be eligible for long-term incentives, in the form of company stock or long-term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan. You will also receive access to comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short and long-term disability insurance, life insurance, paid parental leave, and various other discounts and perks. You may also accrue 3 weeks of paid vacation and will be eligible for 10 or more paid holidays per year. Employees accrue paid sick leave pursuant to Company policy which satisfies or exceeds the accrual, carryover, and use requirements of the law.
ITAR REQUIREMENTS:
- To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.
SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
Applicants wishing to view a copy of SpaceX’s Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to EEOCompliance@spacex.com.
How we score this
Software Engineer (AI Data Engineering) at SpaceX scores 70 out of 100 on AI centrality, which makes it AI Level 3 of 4 (Works on AI) on this board. The level measures how much of the work is AI, not seniority.
AI Level 3. The daily work is on or around AI systems, without necessarily building the model: remove AI and the job is hollow.
- AI Level 480 to 100
- AI Level 360 to 79
- AI Level 240 to 59
- AI Level 10 to 39
Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Walk me through a computer vision problem you solved, from raw data to a deployed model.
- Tell me about a project where software engineering was part of your work. What did you do?
- Tell me about a project where data pipelines was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where automation was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Computer Vision, Software Engineering, Data Pipelines, Machine Learning, and Automation. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
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