Sr. Software Engineer, Computer Vision

<div class="content-intro"><p>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.</p></div><p><strong>SR. SOFTWARE ENGINEER, COMPUTER VISION</strong></p> <p>We are looking for exceptional, driven, adaptable, and resilient senior software engineers who are technical leaders and experts in artificial intelligence (AI), machine learning (ML), and computer vision. You will accelerate the quality, speed, and efficiency of manufacturing processes at SpaceX by owning end-to-end solutions - from model development to production deployment and monitoring.</p> <p>Our team is building the next generation of in-process monitoring tools for SpaceX as we develop the Starship, Raptor, and Starlink programs. We deliver high-impact solutions through advanced AI models and scalable simulation with a focus on non-destructive evaluation (NDE) and materials engineering applications. As a technical leader, you will guide the team in applying cutting-edge AI to these manufacturing challenges.</p> <p><strong>RESPONSIBILITIES:</strong></p> <ul> <li>Lead computer vision model development and deployment for real-time inspection and automated defect recognition in production-scale manufacturing</li> <li>Architect and implement pipelines for scalable model training, evaluation, deployment, monitoring, and retraining using industry-standard tools like Ray Train/Serve, Kubeflow, Airflow, or equivalent</li> <li>Develop software to integrate hardware, sensors, and tooling (including sensor fusion) with AI-driven process monitoring systems</li> <li>Build and optimize data pipelines from production lines, incorporating real-time stream processing and inference</li> <li>Collaborate with part/process engineers, NDE engineers, and materials scientists to link advanced models and outputs to manufacturing</li> <li>Lead design and code reviews, technology evaluations, and enforce best practices (e.g., style, CI/CD, accuracy, testability, efficiency, and standards)</li> </ul> <p><strong>BASIC QUALIFICATIONS:</strong></p> <ul> <li>Bachelor's degree in computer science, engineering, math, physics, or related STEM discipline; OR 8+ years of professional experience building and deploying AI software/Machine Learning in lieu of a degree</li> <li>5+ years of software development experience</li> <li>3+ years deploying AI models to production environments</li> <li>3+ years of strong C++ software engineering experience</li> <li>3+ years of experience leveraging Python for data analysis</li> </ul> <p><strong>PREFERRED SKILLS AND EXPERIENCE:</strong></p> <ul> <li>Proven track record as a technical leader in software projects involving AI/ML</li> <li>Hands-on experience deploying computer vision models for real-time manufacturing inspection and defect detection</li> <li>Strong development experience in Python and C++ (or similar), with expertise in ML frameworks like PyTorch or JAX</li> <li>Hands-on experience with computer vision libraries (e.g., OpenCV)Experience fine tuning and adapting state-of-the-art models, such as transformers and vision transformers, to production environments</li> <li>Experience fine-tuning LLMs or vision-language models and building agentic tools</li> <li>Experience deploying applications at scale with Docker, Kubernetes, and cloud/edge inference for factory automation</li> <li>Expertise in machine learning/LLM operations including model versioning, A/B testing, drift detection, and orchestration with Kubeflow, Ray, MLFlow, or similar</li> <li>Stream processing with Apache Kafka, RabbitMQ, or equivalent</li> <li>Database expertise in PostgreSQL or similar and data tools (Prometheus, Grafana, Jupyter)</li> <li>Strong linux experience</li> <li>Experience applying AI to physics or simulation domains, using physics-informed neural n ... (truncated, view full listing at source)