Autonomous Vehicle AI Principal Engineer

1 month ago


Seattle, Washington, United States Blue Origin Full time
Job Title: Autonomous Vehicle AI Principal Engineer

We are seeking a highly skilled Autonomous Vehicle AI Principal Engineer to join our team at Blue Origin. As a key member of our Space Systems Development (SSD) business unit, you will play a critical role in developing intelligent systems that enable vehicles to interpret their surroundings and navigate through complex environments with little or no human intervention.

Key Responsibilities:
  • Spearhead the development of AI-driven algorithms to accurately perceive, understand, and act within the vehicle's environment.
  • Design and implement sophisticated machine learning models for object detection, classification, semantic segmentation, and anomaly detection specific to autonomous driving scenarios.
  • Train, validate, and deploy neural networks capable of real-time performance in onboard vehicle systems, optimizing for accuracy, speed, and low-power consumption.
  • Work collaboratively with a multidisciplinary team of engineers, researchers, and scientists to integrate AI/ML solutions into a comprehensive autonomous driving platform.
  • Simulate and test autonomous driving algorithms using both synthesized data and real-world driving scenarios to ensure robustness.
  • Provide thought leadership in AI/ML by keeping abreast of the latest research and trends in the field, with a focus on applications in autonomous vehicles.
  • Optimize AI models for edge and cloud deployment, addressing challenges such as latency, model compression, and distributed computing for vehicle fleets.
  • Develop metrics and validation strategies to quantitatively assess the performance of computer vision and path planning systems in varied conditions.
  • Contribute to the continuous improvement of in-house machine learning pipelines and tools for data annotation, model training, and performance monitoring.
  • Mentor junior AI engineers and actively participate in the AI/ML community.
Requirements:
  • Master's or PhD in Computer Science, Robotics, AI, Machine Learning, or a closely related field, with a strong emphasis on autonomous systems.
  • 10+ years experience in applying deep learning in computer vision, preferably in the context of autonomous vehicles or robotics.
  • In-depth understanding of sensor fusion, environmental perception, and spatial-temporal reasoning for autonomous navigation.
  • Strong proficiency in Python, C++, and deep learning libraries (TensorFlow, PyTorch) along with experience using simulation and visualization tools.
  • Demonstrable experience in deploying sense and act algorithms to enable safe and efficient control for vehicles.
  • Ability to work hands-on with hardware and software debugging in a real-world automotive testing environment.
  • Ability to work in a fast-paced, cross-functional team atmosphere and deliver results under tight deadlines.
  • Exceptional analytical skills and the capability to tackle problems with creative solutions.
  • Excellent communication skills to effectively share complex technical information with other team members and stakeholders.
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%, and an 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.
  • Discretionary bonus: Bonuses are designed to reward individual contributions as well as allow employees to share in company results.
Equal Employment Opportunity:

Blue Origin is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified, diverse, and dedicated work force.

We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork, in which all employees recognize and appreciate the diversity of individual team members.

We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, gender, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law.



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