Principal Applied Scientist Last Mile Delivery Automation
Principal Applied Scientist Last Mile Delivery Automation
Posted on :
15-03-2025
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1 Vacancy
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Monthly Salary
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Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
15-03-2025
Job Description
We are seeking a Principal Applied Scientist to lead the development of our autonomous driving stack for lastmile delivery vehicles. In this role you will drive technical innovation architect advanced autonomous systems and lead a team of researchers and engineers in pushing the boundaries of whats possible in autonomous delivery.
Key job responsibilities
As the Principal Applied Scientist you will architect and evolve LMDAs autonomous driving stack for lastmile delivery vehicles. Your role involves driving research and development in key areas such as perception prediction planning and control. You will develop novel algorithms and approaches to solve complex challenges in urban autonomous navigation. A critical aspect of your role will be leading systemlevel architecture decisions and setting technical direction for the autonomous systems team.
You will mentor and develop a team of scientists and engineers fostering a culture of innovation and excellence. This involves close collaboration with crossfunctional teams including hardware safety and operations to ensure seamless integration of autonomous systems. As a senior technical leader you will represent LMDAs technical capabilities to partners customers and at industry conferences.
In this role you will define and execute the technical roadmap for LMDAs autonomous systems. This includes identifying key research areas and technological advancements that will drive LMDAs competitive advantage. A crucial aspect of your role will be balancing longterm research goals with nearterm product delivery needs.
You will lead the integration of various autonomous subsystems into a cohesive performant stack. This includes developing and implementing strategies for optimizing system performance across hardware and software. You will also design and oversee testing and validation frameworks for autonomous systems.
About the team
Last Mile Delivery Automation (LMDA) is at the forefront of revolutionizing the logistics industry through advanced autonomous vehicle technology. Our mission is to create safe efficient and scalable autonomous solutions for lastmile delivery reducing costs and environmental impact while improving delivery speed and reliability.
The ideal candidate will hold a Ph.D. in Computer Science Robotics or a related field with 10 experience in developing autonomous systems focusing on realworld deployment. You should possess deep expertise in multiple areas of autonomous systems including computer vision machine learning sensor fusion motion planning and control systems. A strong track record of leading complex technical projects and driving innovation in autonomous vehicle technology is essential. Experience with production deployment of autonomous systems in challenging environments is required. You should have excellent communication skills with the ability to explain complex technical concepts to diverse audiences. A strong publication record in toptier conferences/journals and a history of successful patent applications will be highly valued.
The role requires expertlevel knowledge of C Python and software development best practices. You should be proficient with machine learning frameworks like TensorFlow and PyTorch and robotics middleware such as ROS/ROS2. Experience with SLAM deep learningbased perception prediction algorithms and motion planning is essential. Familiarity with hardware constraints and realtime systems in the context of autonomous vehicles is crucial. Understanding of safetycritical systems and relevant regulatory requirements for autonomous vehicles is necessary.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Key job responsibilities
As the Principal Applied Scientist you will architect and evolve LMDAs autonomous driving stack for lastmile delivery vehicles. Your role involves driving research and development in key areas such as perception prediction planning and control. You will develop novel algorithms and approaches to solve complex challenges in urban autonomous navigation. A critical aspect of your role will be leading systemlevel architecture decisions and setting technical direction for the autonomous systems team.
You will mentor and develop a team of scientists and engineers fostering a culture of innovation and excellence. This involves close collaboration with crossfunctional teams including hardware safety and operations to ensure seamless integration of autonomous systems. As a senior technical leader you will represent LMDAs technical capabilities to partners customers and at industry conferences.
In this role you will define and execute the technical roadmap for LMDAs autonomous systems. This includes identifying key research areas and technological advancements that will drive LMDAs competitive advantage. A crucial aspect of your role will be balancing longterm research goals with nearterm product delivery needs.
You will lead the integration of various autonomous subsystems into a cohesive performant stack. This includes developing and implementing strategies for optimizing system performance across hardware and software. You will also design and oversee testing and validation frameworks for autonomous systems.
About the team
Last Mile Delivery Automation (LMDA) is at the forefront of revolutionizing the logistics industry through advanced autonomous vehicle technology. Our mission is to create safe efficient and scalable autonomous solutions for lastmile delivery reducing costs and environmental impact while improving delivery speed and reliability.
The ideal candidate will hold a Ph.D. in Computer Science Robotics or a related field with 10 experience in developing autonomous systems focusing on realworld deployment. You should possess deep expertise in multiple areas of autonomous systems including computer vision machine learning sensor fusion motion planning and control systems. A strong track record of leading complex technical projects and driving innovation in autonomous vehicle technology is essential. Experience with production deployment of autonomous systems in challenging environments is required. You should have excellent communication skills with the ability to explain complex technical concepts to diverse audiences. A strong publication record in toptier conferences/journals and a history of successful patent applications will be highly valued.
The role requires expertlevel knowledge of C Python and software development best practices. You should be proficient with machine learning frameworks like TensorFlow and PyTorch and robotics middleware such as ROS/ROS2. Experience with SLAM deep learningbased perception prediction algorithms and motion planning is essential. Familiarity with hardware constraints and realtime systems in the context of autonomous vehicles is crucial. Understanding of safetycritical systems and relevant regulatory requirements for autonomous vehicles is necessary.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
Staff IC
Employment Type
Full-Time
Key Skills
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