From Amazon's posting. “We” and “our” refer to the employer.
Amazon Web Services' Hardware Engineering team is looking for experienced professionals to help build the world's premier cloud computing platform. The Manufacturing Automation Design & Engineering team designs, validates, and deploys automation solutions, including robotics, cobots, vision inspection, AI-powered quality systems, and automated assembly workflows, across contract manufacturer sites worldwide.
About the Role: You will own end-to-end automation process engineering for the Graviton platform family. This includes defining automated assembly sequences, specifying robotic cell requirements, developing process validation protocols, and driving automation deployment at contract manufacturer sites for this platform.
You serve as the single-threaded owner for all automation decisions affecting Graviton production, working with central engineering specialists (robotics, vision, controls, mechanical) to apply their capabilities to your platform's unique requirements. You translate platform-specific product design characteristics into automation process specifications.
You work closely with the Product Design vertical (Hardware Engineering) to manage automation requirements, participate in design reviews, and provide feedback on assembly compatibility for the Graviton platform. You serve as the point of contact for automation during New Product Introduction (NPI), supporting the product design team in transitioning new Graviton designs from prototype to production-ready automated assembly, ensuring automation readiness is built into the NPI process from the earliest stages.
You also partner with the Manufacturing Process Quality vertical to define quality verification requirements, validate process capability, and ensure automation solutions meet quality targets before production sign-off.
The scope covers all server and rack assembly across all architectures and platforms, including compute, AI/ML accelerators, storage, and networking. The team designs intelligent, predictive-analytics-driven production systems where every station is sensor-driven, AI-optimized, and self-correcting, turning assembly lines into programmable, data-generating platforms that scale capacity without scaling headcount.
This role requires the engineer to operate in a fast-paced, multi-platform international manufacturing environment with travel to contract manufacturer sites (up to 25-30% travel anticipated).
Key job responsibilities
Own automation process specifications for Graviton platform assembly operations
Define automated assembly sequences and station allocations for platform-specific operations
Develop and execute process validation protocols for automated stations on Graviton lines
Drive automation deployment and ramp at contract manufacturer sites for the Graviton platform
Identify automation opportunities specific to Graviton architecture and drive business case development
Coordinate with central engineering specialists to apply robotic, vision, and controls solutions to platform needs
Own platform-specific automation KPIs: throughput, quality yield, automation rate, and cycle time targets
Partner with Hardware Engineering to influence product design for automated assembly compatibility
Collaborate with Manufacturing Process Quality to define quality verification requirements and validate process capability for automated stations
Serve as the automation point of contact during NPI, supporting product design teams in transitioning new Graviton designs to production-ready automated assembly
Partner with Hardware Engineering (Product Design vertical) to manage automation requirements and participate in design reviews for new Graviton configurations
About the team
About the team: The Manufacturing Automation Design & Engineering team is building a centralized automation Center of Excellence that owns the process specification and IP for how AWS hardware gets assembled. The team is responsible for engineering, defining automated process requirements, designing and proving solutions at proof-of-concept, and maintaining AWS-owned intellectual property that scales globally.
The team works within a collaborative framework across Hardware Engineering (product design for automation), Manufacturing Automation Design & Engineering (process specification and validation), and Manufacturing Operations (deployment and scaling), ensuring automation is engineered once, proven once, and deployed everywhere.
Basic Qualifications
BS/MS in Mechanical Engineering, Manufacturing Engineering, Industrial Engineering, or equivalent
7+ years in manufacturing process engineering with experience in automated assembly environments
Experience developing process specifications for electronic or precision hardware assembly
Experience with process validation methodologies (e.g., PFMEA, capability studies, DOE)
Track record of deploying automation solutions in production environments
Experience with multi-site manufacturing (deploying standard processes across geographies)
Experience driving automation readiness during NPI from concept through production ramp
Experience leading design reviews and providing DFM/DFA feedback to product engineering teams
Preferred Qualifications
Experience with custom silicon, ARM-based, or server processor hardware assembly
Knowledge of robotic assembly systems and collaborative robots
Experience with design-for-automated-assembly (DFAA) principles
Electronics, server, or data center hardware manufacturing environment
Process optimization and cycle time reduction experience
Lean Six Sigma certification (Green Belt or higher)
Cross-functional leadership with product design, quality, and operations teams
Experience serving as automation or manufacturing engineering lead during new product introduction cycles
Equal Opportunity
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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, TX, Austin - 159,200.00 - 215,300.00 USD annually
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