Sr. Software Engineer (Vehicle Engineering)
Core
Designing and training AI/ML models and agentic systems to accelerate software development, avionics design, flight data review, and mission operations for launch vehicles and spacecraft.
Role type
Senior IC machine-learning engineer (AI systems for aerospace engineering)
Builds
Production-grade AI tools, agentic workflows, and foundation models (LLMs, vision models) for engineering tasks
Domain
Aerospace / Machine Learning
Deliverable
production ML models
Required skills
Python, model training, fine-tuning, reinforcement learning, LLMs, computer vision, PyTorch, TensorFlow, JAX, MLOps, Linux, Git, CI/CD, Docker, Kubernetes, data infrastructure
Preferred skills
Agentic AI systems, multi-agent workflows, distributed training on GPU clusters, hyperparameter optimization, experiment tracking, model versioning, bias mitigation
Technologies
PyTorch, TensorFlow, JAX, MLflow, Weights & Biases, PostgreSQL, vector databases, Docker, Kubernetes
Responsibilities
Design and train highly reliable, scalable AI/ML models; Design agentic AI systems and multi-agent workflows; Build and optimize large-scale machine learning training pipelines; Develop and fine-tune foundation models for high-impact use cases; Create production-grade AI tools for data analysis and automated decision-making; Collaborate on AI architecture and model design; Rapidly build and iterate on AI prototypes; Own the complete AI model lifecycle from data preparation to deployment; Deep-dive into complex engineering problems to implement custom AI solutions; Establish rigorous AI standards for validation and safety; Ensure thorough testing and validation of all AI systems
Seniority
Senior, hands-on IC
