AI Systems Engineer - Vehicle Engineering

Spacex; Hawthorne (CA); On-site; USD 125,000 - 195,000; Full time

Job summary

SpaceX is seeking an AI Software Engineer (Vehicle Engineering) to design and deploy AI capabilities across engineering and business needs. You will develop, evaluate, and deploy AI systems, create training environments, and build reproducible workflows for agents, using Docker and Kubernetes for reliable workloads.

The role emphasizes experimental software development, collaboration with engineering teams, and handling data with auditability and secure practices.

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.

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.

Skills

Python programming

AI/ML systems

ML fundamentals

Problem solving

Education

Bachelor’s degree in CS/Engineering

Tools

Docker

Kubernetes

Git

Job description

SpaceX is seeking an AI Software Engineer (Vehicle Engineering) to design and deploy AI capabilities across engineering and business needs. You will develop, evaluate, and deploy AI systems, create training environments, and build reproducible workflows for agents, using Docker and Kubernetes for reliable workloads.

The role emphasizes experimental software development, collaboration with engineering teams, and handling data with auditability and secure practices.