Autonomous Vehicle AI Systems Engineer

1 week ago

Denver, Colorado, United States Blue Origin Full time
Autonomous Vehicle AI Principal Engineer

At Blue Origin, we're pushing the boundaries of space exploration and development. We're seeking a highly skilled Autonomous Vehicle AI Principal Engineer to join our team and contribute to the design and development of intelligent systems that enable vehicles to navigate complex environments with minimal human intervention.

This role is part of our Space Systems Development (SSD) business unit, which focuses on developing next-generation concepts and systems to advance our future of living and working in space sustainably. As an Autonomous Vehicle AI Principal Engineer, you'll be working with a multidisciplinary team of engineers, researchers, and scientists to integrate AI/ML solutions into a comprehensive autonomous driving platform.

Key Responsibilities:
  • Design and develop AI-driven algorithms for accurate perception, understanding, and action within the vehicle's environment.
  • 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.
  • Collaborate with the team to simulate and test autonomous driving algorithms using synthesized data and real-world driving scenarios to ensure robustness.
  • Provide thought leadership in AI/ML by staying up-to-date with 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 of 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.
  • Must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

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