Amazon
Senior Applied Scientist, Planning and Controls, Amazon Industrial Robotics
Amazon, Oklahoma City, Oklahoma, United States
Senior Applied Scientist, Planning and Controls, Amazon Industrial Robotics
Amazon Industrial Robotics is seeking exceptional talent to help develop the next generation of advanced robotics systems that will transform automation at Amazon’s scale. We’re building revolutionary robotic systems that combine cutting‑edge AI, sophisticated control systems, and advanced mechanical design to create adaptable automation solutions capable of working safely alongside humans in dynamic environments. This is a unique opportunity to shape the future of robotics and automation at unprecedented scale, working with world‑class teams pushing the boundaries of what’s possible in robotic manipulation, locomotion, and human‑robot interaction.
We are seeking an Applied Scientist to develop innovative and scalable solutions in motion planning and feedback controls for complex robotic systems. In this role, you will be responsible for developing robot physics models, performing analysis, and devising and implementing algorithms for the control and estimation of robotic systems. You will collaborate with a world‑class team of experts in perception, machine learning, motion planning, and feedback controls to innovate and develop solutions for complex real‑world problems.
Key Job Responsibilities
Conduct research, design, implement, and assess feedback control and motion planning algorithms, ensuring integration across various disciplines.
Develop experiments and build prototypes to implement control algorithms, planners, and optimization techniques.
Collaborate closely with software engineering teams to ensure scalable, real‑time implementation of algorithms.
Partner with cross‑functional engineering teams to deploy algorithms from initial prototyping to production‑level implementation.
Engage with stakeholders across hardware, scientific, and operational teams to iterate on system design and implementation.
Basic Qualifications
Experience programming in Java, C++, Python, or related language.
PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics, or an equivalent quantitative field.
Experience in building machine learning models for business applications.
5+ years of industry or academic research experience in applied research and development in robotics, with a focus on motion planning and feedback controls.
Preferred Qualifications
Experience in patents or publications at top‑tier peer‑reviewed conferences or journals.
Proven ability to innovate and develop robust and scalable solutions to complex robotics problems.
Experience in trajectory optimization for multi‑degree‑of‑freedom (multi‑DOF) robotic systems.
Experience in designing controllers using Model Predictive Control, Optimal Control, etc.
Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Compensation: Base pay ranges from $150,400 to $260,000 per year, depending on market location, with additional equity, sign‑on payments, and benefits such as medical, financial, and other benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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We are seeking an Applied Scientist to develop innovative and scalable solutions in motion planning and feedback controls for complex robotic systems. In this role, you will be responsible for developing robot physics models, performing analysis, and devising and implementing algorithms for the control and estimation of robotic systems. You will collaborate with a world‑class team of experts in perception, machine learning, motion planning, and feedback controls to innovate and develop solutions for complex real‑world problems.
Key Job Responsibilities
Conduct research, design, implement, and assess feedback control and motion planning algorithms, ensuring integration across various disciplines.
Develop experiments and build prototypes to implement control algorithms, planners, and optimization techniques.
Collaborate closely with software engineering teams to ensure scalable, real‑time implementation of algorithms.
Partner with cross‑functional engineering teams to deploy algorithms from initial prototyping to production‑level implementation.
Engage with stakeholders across hardware, scientific, and operational teams to iterate on system design and implementation.
Basic Qualifications
Experience programming in Java, C++, Python, or related language.
PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics, or an equivalent quantitative field.
Experience in building machine learning models for business applications.
5+ years of industry or academic research experience in applied research and development in robotics, with a focus on motion planning and feedback controls.
Preferred Qualifications
Experience in patents or publications at top‑tier peer‑reviewed conferences or journals.
Proven ability to innovate and develop robust and scalable solutions to complex robotics problems.
Experience in trajectory optimization for multi‑degree‑of‑freedom (multi‑DOF) robotic systems.
Experience in designing controllers using Model Predictive Control, Optimal Control, etc.
Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Compensation: Base pay ranges from $150,400 to $260,000 per year, depending on market location, with additional equity, sign‑on payments, and benefits such as medical, financial, and other benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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