Sr. Software Engineer, Computer Vision

• Lead computer vision model development and deployment for real-time inspection and automated defect recognition in production-scale manufacturing

• 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

• Develop software to integrate hardware, sensors, and tooling (including sensor fusion) with AI-driven process monitoring systems

• Build and optimize data pipelines from production lines, incorporating real-time stream processing and inference

• Collaborate with part/process engineers, NDE engineers, and materials scientists to link advanced models and outputs to manufacturing

• Lead design and code reviews, technology evaluations, and enforce best practices (e.g., style, CI/CD, accuracy, testability, efficiency, and standards)

• 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

• 5+ years of software development experience

• 3+ years deploying AI models to production environments

• 3+ years of software engineering experience

• 3+ years of experience leveraging Python for data analysis

• Proven track record as a technical leader in software projects involving AI/ML

• Hands-on experience deploying computer vision models for real-time manufacturing inspection and defect detection

• Strong development experience in Python and C++ (or similar), with expertise in ML frameworks like PyTorch or JAX

• 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

• Experience fine-tuning LLMs or vision-language models and building agentic tools

• Experience deploying applications at scale with Docker, Kubernetes, and cloud/edge inference for factory automation

• Expertise in machine learning/LLM operations including model versioning, A/B testing, drift detection, and orchestration with Kubeflow, Ray, MLFlow, or similar

• Stream processing with Apache Kafka, RabbitMQ, or equivalent

• Database expertise in PostgreSQL or similar and data tools (Prometheus, Grafana, Jupyter)

• Strong linux experience

• Experience applying AI to physics or simulation domains, using physics-informed neural networks (PINNs) or surrogate modeling

• Ability to work extended hours and weekends as necessary

• Ability to travel to other SpaceX sites as needed (up to 20%)

• 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 .

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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 .