---
title: 'AI Software Engineer (Vehicle Engineering) at SpaceX'
canonical: 'https://feeny.ai/job/ai-software-engineer-vehicle-engineering-spacex-hawthorne-whz7cmmjzq1m'
type: 'job'
last_seen: '2026-11-03'
---

# AI Software Engineer (Vehicle Engineering) at SpaceX

- **Company:** SpaceX
- **Location:** Hawthorne, CA
- **Posted:** 2026-10-23
- **Last confirmed live:** 2026-11-03
- **Apply:** https://boards.greenhouse.io/spacex/jobs/8910071002?gh_jid=8910071002

## Job description

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.

## AI SOFTWARE ENGINEER (VEHICLE ENGINEERING)

SpaceX is building AI systems that accelerate engineering and make internal operations more effective. We are looking for software engineers who combine strong programming skills with practical machine learning knowledge and a willingness to solve unfamiliar problems.

You will develop, evaluate, and deploy AI capabilities across a range of engineering and business needs. Projects may include building tools and training environments for agents, developing machine learning systems with limited real-world data, and delivering internal AI applications. The work will evolve as new capabilities and opportunities emerge.

This role combines experimentation, software development, and secure infrastructure. You will work with engineers, domain experts, and business partners to take ideas from initial prototypes through deployment, using rigorous evaluations to understand performance, identify failures, and guide improvements.

Candidates may bring depth in different areas. We value strong fundamentals, careful experimentation, demonstrated contributions, and the ability to grow across the work described. Prior aerospace experience is not required.

## RESPONSIBILITIES:

- Build AI systems and applications that address engineering and business problems, working with users to understand requirements and define measurable success criteria.
- Develop evaluations (evals), benchmarks, and representative datasets to measure model and agent performance, compare approaches, and detect regressions.
- Build automated graders and scoring methods, validate their agreement with expert judgments, and investigate misleading results, data leakage, and other evaluation failures.
- Create reproducible environments for training and evaluating agents, including task definitions, tool interfaces, constraints, and feedback signals.
- Integrate models and agents with engineering tools, internal services, and company data, capturing execution traces and results to support debugging and evaluation.
- Establish baselines, run experiments, and analyze failures to determine whether changes to data, models, tools, or workflows produce meaningful improvements.
- Develop data preparation, training, and evaluation workflows for problems with limited real-world data, including targeted data collection, labeling, augmentation, and synthetic data where appropriate.
- Use Docker and Kubernetes to build and operate reliable workloads with appropriate isolation, access controls, resource management, logging, and reproducibility.
- Collaborate with engineering, infrastructure, security, HR, and legal partners to implement requirements for data handling, traceable outputs, auditability, and human review.
- Maintain deployed systems through testing, monitoring, ongoing evaluation, and operational debugging, improving quality, reliability, latency, and cost based on evidence and user feedback.

## BASIC QUALIFICATIONS:

- Bachelor’s degree in computer science, data science, engineering, math, or physics; OR 4+ years of professional experience building and training AI/ML systems in lieu of a degree
- +1 years of Python programming development and debugging software on Linux.
- +1 years of experience with ML framework such as PyTorch, or practical experience developing agents and model-based applications.
- +1 years of experience building or evaluating AI/ML systems through professional work, internships, research, or substantial independent projects.

## PREFERRED SKILLS AND EXPERIENCE:

- Understanding of evaluation fundamentals, including appropriate metrics, baselines, separation of training and evaluation data, error analysis, and reproducible experimentation.
- Experience with Docker and familiarity with Kubernetes.
- Familiarity with version control, software testing, and collaborative development practices.
- Ability to explain technical decisions, work with people across disciplines, and learn unfamiliar tools and problem domains.
- Designing task-specific evals, evaluation datasets, automated graders, or frameworks for comparing model and agent performance.
- Building reinforcement learning environments, agent tools, reward functions, or verifiers.
- Working with model fine-tuning, reinforcement learning, or learning from human feedback.
- Developing effective ML systems with limited data, including data curation, augmentation, and synthetic data generation.
- Deploying and troubleshooting Kubernetes workloads and distributed job execution.
- Building systems for experiment tracking and versioning datasets, models, environments, and evaluations.
- Developing backend services, APIs, databases, and interfaces for reviewing AI outputs.
- Implementing systems involving sensitive data, audit trails, or structured human oversight.
- Taking a technical project from initial requirements through implementation, evaluation, and deployment.

## ADDITIONAL REQUIREMENTS:

- Willing to work extended hours and weekends as 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](https://www.pmddtc.state.gov/?id=ddtc_kb_article_page&sys_id=24d528fddbfc930044f9ff621f961987).

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.

## About SpaceX

## Company Overview
- **One-liner**: SpaceX designs, manufactures, and launches advanced rockets and spacecraft while building a global satellite broadband network and AI infrastructure to enable interplanetary life.
- **Entity Type**: Public (Nasdaq: SPCX) – IPO priced at $135/share on June 12, 2026
- **Headquarters**: Starbase, Texas (primary); Hawthorne, California (historical headquarters)
- **Founded**: 2002
- **Founders**: Elon Musk

## Core Business
- **Industries**: Aerospace & Defense, Spaceflight, Satellite Telecommunications, Artificial Intelligence
- **Target Customers**: Government (NASA, U.S. Armed Forces, international agencies), Commercial satellite operators, Broadband consumers (Starlink), Defense/intelligence (Starshield)
- **Mission**: To make humanity multiplanetary by building the integrated hardware and software infrastructure of the future across space, connectivity, and AI.

## Products & Services
- **Falcon 9**: Reusable two-stage rocket – the world’s most launched orbital rocket, with over 630 successful first-stage reflights.
- **Falcon Heavy**: Heavy-lift launch vehicle composed of three Falcon 9 cores; capable of lifting nearly 64 metric tons to orbit.
- **Starship**: Fully reusable super-heavy launch vehicle and spacecraft (largest ever built) designed for missions to the Moon, Mars, and beyond.
- **Dragon 2**: Crew and cargo spacecraft used for NASA Commercial Crew and private missions to the ISS and beyond.
- **Starlink**: Low-Earth-orbit satellite constellation providing high-speed, low-latency broadband internet to over 10.3 million people globally.
- **Starshield**: Military-grade satellite services for national security and defense customers.
- **SpaceXAI**: Division focused on AI compute infrastructure, frontier models, and real-time data processing (including AI compute satellites).

## Market Standing
- **Valuation**: Conflicting reports – Internal share offer in 2025 valued SpaceX at **$800 billion**; IPO pricing (June 2026) implied a market capitalization of approximately **$75 billion** for the shares offered.
- **Key Metric**: Annual revenue of **$15.0 billion** (2025); total funding raised **$15.2 billion** across 56 rounds.
- **Notable Investors/Partners**: Google (led $1B Series G), Intesa Sanpaolo, NASA, U.S. Space Force, and numerous institutional investors.
- **Growth Signals**: Employee headcount of **11,387** (monthly growth +2.5%); **1,671 active job postings**; Falcon 9 launch cadence of 1–3 per week; Starlink subscriber base covering ~10.3 million people; recent acquisition of xAI (February 2026).

## Competitive Advantages
- **Full reusability**: Only company with a fleet of reusable orbital rockets (Falcon 9, Falcon Heavy), dramatically lowering per-launch cost.
- **Vertical integration**: Designs, manufactures, and operates its own rockets, spacecraft, satellite constellation, and AI platform – enabling rapid iteration and cost control.
- **Scale and reliability**: More orbital launches per year than any other provider (public or private); proven track record with NASA and DoD.
- **First-mover in commercial spaceflight**: Established crew transport, satellite internet, and now AI compute in orbit.

## Strategic Focus
- **Starship development**: Complete testing and operational deployment of the fully reusable Starship system for lunar (Artemis) and Mars missions.
- **Starlink expansion**: Grow subscriber base, launch V3 satellites, and extend mobile and direct-to-cell services.
- **AI integration**: Leverage SpaceXAI for on-orbit compute and real-time data analytics; build AI compute satellites.
- **Interplanetary infrastructure**: Develop technologies for sustained human presence on the Moon and Mars.

## Why Work Here
- **Mission-driven culture**: Employees directly contribute to making life multiplanetary – “hard work and innovative solutions result in big gains.”
- **Impactful projects**: Work on reusable rockets, crewed spacecraft, global broadband, and AI systems that are actively changing the space industry.
- **Compensation**: Competitive salaries, comprehensive health benefits, and equity packages.
- **Work locations**: Primary campuses in Hawthorne, CA and Starbase, TX (with additional sites in Cape Canaveral, FL and Vandenberg, CA). Roles span engineering, software, manufacturing, and support.
- **Engineering culture**: Merit-based, fast-paced, with high ownership; top talent sourced from Tesla, Boeing, NASA JPL, and other aerospace leaders.
- **Open roles**: Over 1,600 active positions across software, AI, avionics, propulsion, supply chain, and more – including internships.

## Sources
1. [SpaceX Careers Page](https://www.spacex.com/careers)
2. [LinkedIn – SpaceX Company Profile](https://www.linkedin.com/company/spacex)
3. [SpaceX IPO Factsheet (PDF)](https://content.spacex.com/cms-assets/FINAL_Documents%20and%20Updates/SpaceX%20IPO_Factsheet.pdf)
4. [SpaceX IPO Pricing Press Release](https://ir.spacex.com/updates/releases-details/2026/Space-Exploration-Technologies-Corp--Announces-Pricing-of-Initial-Public-Offering/default.aspx)
5. [SpaceX Jobs Board (Greenhouse)](https://job-boards.greenhouse.io/spacex)

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