Blue Origin · 7 hours ago
Autonomous Vehicle AI Engineer II Computer Vision and Path Planning
Greater Seattle Area
Full-time
Onsite
New Grad, Entry Level
$135K/yr - $189K/yrBlue Origin is a company that envisions millions of people living and working in space for the benefit of Earth. They are seeking an entry-level Autonomous Vehicle AI Engineer to develop AI-driven algorithms and machine learning models for autonomous systems in spaceflight.
AerospaceManufacturingNational SecurityRenewable Energy
No H1B
U.S. Citizen Only
Responsibilities
Contribute to the development of AI-driven computer vision algorithms to accurately perceive and understand a vehicle's environment using data from cameras, LiDAR, and other sensors
Develop, train, and test machine learning models for object detection, classification, semantic segmentation, and anomaly detection specific to autonomous driving scenarios
Implement and test path planning algorithms using modern decision-making techniques to ensure safe and efficient navigation of space vehicles during in-space operations
Train, validate, and deploy neural networks for real-time performance on flight-qualified hardware, optimizing for accuracy, speed, and reliability
Collaborate with a multidisciplinary team of GNC, software, and hardware engineers to integrate AI/ML solutions into the vehicle's avionics and flight software systems
Design, build, and use high-fidelity simulation environments to test and validate autonomous algorithms against a wide range of mission scenarios and off-nominal conditions
Analyze data from simulations and flight tests to assess and improve the performance of perception and decision-making systems
Support the continuous improvement of in-house machine learning pipelines and tools for data management, model training, and performance monitoring
Optimize AI models for edge and cloud deployment, addressing challenges such as latency, model compression, and distributed computing for vehicle fleets
Qualification
Required
PhD in Computer Science, Robotics, AI, Machine Learning, Aerospace Engineering, or a related field
Alternatively, a Master's degree in a related field with demonstrated project, research, professional, or internship experience in autonomous systems
Demonstrated experience applying deep learning to computer vision or decision-making, preferably through academic research, significant projects, or internships
Strong theoretical understanding of sensor fusion, environmental perception, and path planning algorithms
High proficiency in Python and/or C++, along with experience using deep learning libraries such as PyTorch or TensorFlow
A passion for space exploration and a desire to apply your skills to solve complex, real-world challenges
Ability to work collaboratively in a fast-paced, cross-functional team environment
Excellent analytical and problem-solving skills, with a creative and first-principles approach
Preferred
Experience with simulation environments (e.g., Gazebo, NVIDIA Isaac Sim) and their application to robotics or aerospace
Familiarity with classical Guidance, Navigation, and Control (GNC) concepts
Experience with transformers and large machine learning models
Hands-on experience with deploying and debugging software on embedded systems or robotic hardware
Contributions to open-source projects or publications in relevant academic conferences (e.g., CVPR, ICRA, NeurIPS, AIAA SciTech/GNC)
Benefits
Medical
Dental
Vision
Basic and supplemental life insurance
Paid parental leave
Short and long-term disability
401(k) with a company match of up to 5%
Education Support Program
Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays.
Company
Blue Origin
Blue Origin is an aerospace company that focuses on lowering the cost of spaceflight and helping to explore the solar system.
Founded in 2000
10001+ employees
Funding
Current Stage
Late StageTotal Funding
$185.35MKey Investors
NASAUnited States Space Force
2024-02-20Secondary Market
2024-01-24Undisclosed· $18M
2021-12-03Grant· $130M
Leadership Team
David Limp
Chief Executive Officer
Tim Collins
Vice President, Global Supply Chain
Recent News
2026-01-25
2026-01-24
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