below marketmost similar roles pay hereabove market
This role pays less than
78%
of similar roles. Most pay
$149,907–$222,500
— the blue band above.
At the midpoint, this role pays about
$142k
versus about
$186k
for comparable roles.
Based on 240 similar postings.
Employer
About SpaceX
SpaceX designs, manufactures, and launches advanced rockets and spacecraft with the mission of enabling humans to become a multi-planetary species. It operates the Falcon 9, Falcon Heavy, and Starship launch vehicles, as well as the Starlink satellite internet constellation.
SpaceX currently has
851 open roles
on FindRole.
Listed pay typically runs
$130,000–$165,000
across 590 roles with salary data.
The AI Software Engineer (Vehicle Engineering) joins the team building AI systems to accelerate engineering and internal operations. You will develop, evaluate, and deploy AI capabilities to solve engineering and business problems, including building tools and training environments for agents and developing machine learning systems with limited real-world data. Day-to-day responsibilities involve creating reproducible environments, building automated graders, and integrating models with internal services. You will use Python, PyTorch, Docker, and Kubernetes to manage workloads and perform rigorous evaluations. The role requires establishing baselines, analyzing failures, and managing data preparation workflows like augmentation and synthetic data generation. You will collaborate across disciplines to move projects from initial prototypes to production, ensuring traceable outputs and auditability within a complex technical environment.
Build AI systems and applications to solve specific engineering and business problems.
Develop evaluations, benchmarks, and representative datasets to measure model and agent performance.
Create reproducible environments for training and evaluating agents, including task definitions and tool interfaces.
Integrate models and agents with internal services and company data to support debugging and evaluation.
Develop data preparation, training, and evaluation workflows for problems with limited real-world data.
Use Docker and Kubernetes to build and operate reliable workloads with appropriate isolation and resource management.
Maintain deployed systems through testing, monitoring, and operational debugging to improve reliability and latency.
What we're looking for
Bachelor’s degree in computer science, data science, engineering, math, or physics; OR 4+ years of professional experience building and training AI/ML systems.
At least 1 year of Python programming development and debugging software on Linux.
At least 1 year of experience with ML frameworks like PyTorch or practical experience developing agents and model-based applications.
At least 1 year of experience building or evaluating AI/ML systems through professional work, internships, research, or substantial independent projects.
Understanding of evaluation fundamentals, metrics, baselines, and reproducible experimentation (preferred).
Experience with Docker and familiarity with Kubernetes (preferred).
Familiarity with version control, software testing, and collaborative development practices (preferred).
Applicant must be a U.S. citizen, national, lawful permanent resident, refugee, asylee, or eligible for required Department of State authorizations.
C++
Robotics
AI
Machine Learning
autonomous vehicle s
Trajectory Planning
Motion Planning
Real-time Systems
Simulation
Systems Integration
Performance Optimization