Amazon Model Jobs in Massachusetts (NOW HIRING)

Amazon 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 an unprecedented scale, working with world-class teams pushing the boundaries of what's possible in robotic dexterous manipulation, locomotion, and human-robot interaction. This role presents an opportunity to shape the future of robotics through innovative applications of deep learning and large language models.
As a Hardware Development Manager, you will be responsible for developing complex computing and firmware systems that power our robotic platforms. You will lead a team of engineers focused on system architecture, firmware development, and embedded systems integration while implementing robust development processes and technical standards.
Key job responsibilities
- Lead a team of hardware, firmware, and embedded systems engineers
- Implement computing architecture standards and firmware development practices
- Contribute to technical roadmaps for next-generation robotics computing platforms
- Design and implement robust, scalable firmware solutions
- Execute development processes for safety-critical embedded systems
- Collaborate with robotics, controls, and software teams to deliver integrated solutions
- Support architecture decisions for complex robotics systems
- Implement firmware development strategies
- Ensure reliable, maintainable, and scalable embedded solutions
- Follow technical standards for robotics computing platforms
- Drive innovation in real-time computing and control systems
BASIC QUALIFICATIONS
- Bachelor's degree in Electrical Engineering, Computer Engineering, or a related technical field
- Experience in engineering team management
- Experience in new hardware product development
- Experience in DFx (cost, test, manufacturing)
- Experience with safety-critical firmware development
- Proven track record in robotics computing platforms
PREFERRED QUALIFICATIONS
- Master's degree in Electrical, Mechanical, Power Engineering, or a related field
- Experience with robotics control systems and sensor integration
- Background in real-time operating systems and deterministic computing
- Experience developing complex embedded architectures for robotics
- Track record of innovation in robotics computing platforms
- Experience with safety certification processes (ISO 26262, IEC 61508, 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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, MA, N.Reading - 151,000.00 - 204,300.00 USD annually