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Sr. Software Engineer (Vehicle Engineering)

1 hour, 39 minutes ago
United States
Full-time
Senior
Software Engineer
Software Development
CI/CD Computer Vision Docker Git Kubernetes Linux LLM Machine Learning MLflow MLOps PostgreSQL Python PyTorch Reinforcement Learning TensorFlow
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SpaceX

SpaceX

SpaceX designs, manufactures, and launches advanced rockets and spacecraft with the aim of revolutionizing space technology and enabling human life on other planets.

Aerospace & Defense
10K-50K
Founded 2002
View All Jobs 167

Description

  • Design and train reliable, scalable AI/ML models that support engineers across SpaceX.
  • Design agentic AI systems and multi-agent workflows to perform engineering tasks.
  • Build and optimize large-scale machine learning training pipelines for engineering applications.
  • Develop and fine-tune foundation models, including LLMs, vision models, and multimodal systems.
  • Create production-grade AI tools for data analysis, anomaly detection, predictive modeling, and automated decision-making.
  • Collaborate with peers on AI architecture, model design, training strategies, and code reviews.
  • Rapidly prototype AI solutions and measure model performance, accuracy, and technical constraints.
  • Own the full AI model lifecycle from data preparation and training infrastructure through deployment, monitoring, and continuous improvement.
  • Investigate complex engineering problems and implement custom-trained AI solutions.
  • Establish standards for model validation, safety, reliability, bias mitigation, and data security.
  • Ensure AI systems are thoroughly tested and validated before production use.

Requirements

  • 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.
  • 5+ years of experience in AI software engineering with model training, fine-tuning, and machine learning systems.
  • 5+ years of programming experience in Python.
  • Strong hands-on experience in AI software engineering focused on model training, fine-tuning, and machine learning systems.
  • Expert understanding of LLM transformer architectures and training procedures, including pre-training, supervised fine-tuning, and reinforcement learning.
  • Demonstrated experience training and fine-tuning large language models and other foundation models at scale.
  • Proven track record training and optimizing machine learning models for computer vision, such as object detection, segmentation, and 3D reconstruction.
  • Deep expertise with modern ML frameworks such as PyTorch, TensorFlow, JAX, or equivalent.
  • Experience designing and running large-scale ML training pipelines, including distributed training on GPU clusters, hyperparameter optimization, and experiment tracking.
  • Strong understanding of MLOps best practices, including model versioning, MLflow or Weights & Biases, CI/CD for ML, and automated retraining.
  • Strong foundation in statistics, machine learning theory, deep learning architectures, optimization algorithms, and model evaluation.
  • Proficiency developing on Linux systems.
  • Solid understanding of Git, testing, continuous integration, deployment, and monitoring for ML systems.
  • Experience building complex agentic AI systems and multi-agent workflows.
  • Experience with data infrastructure for training, including PostgreSQL, non-relational databases, data lakes, and feature stores; vector databases are a plus.
  • Experience deploying containerized applications using Docker and Kubernetes.
  • Willingness to work extended hours and weekends as needed.
  • Must meet ITAR eligibility requirements for U.S. export regulations.

Benefits

  • Base salary range of $160,000 to $225,000 per year for Software Engineer/Senior roles.
  • Eligibility for long-term incentives, including company stock, stock options, or long-term cash awards.
  • Potential discretionary bonuses.
  • Employee Stock Purchase Plan with the ability to buy additional stock at a discount.
  • Comprehensive medical, vision, and dental coverage.
  • 401(k) retirement plan.
  • Short- and long-term disability insurance, life insurance, and paid parental leave.
  • 3 weeks of paid vacation, 10 or more paid holidays per year, and paid sick leave in accordance with company policy.

Interested in this position?

Apply directly on the company website

Apply Now

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