Automation Process Engineer, Manufacturing Automation Design & Engineering

AI in this role

Owns end-to-end automation process engineering and deployment for hardware platforms utilizing AI-optimized production systems.

automation-engineeringprocess-validationroboticsnew-product-introductionmanufacturing-quality

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

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

How we rate this

Automation Process Engineer, Manufacturing Automation Design & Engineering at Amazon rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Automation Process Engineer, Manufacturing Automation Design & Engineering is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $159k-$215k a year.
The role is based in US, CA, Cupertino.
The job was posted on October 7, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Automation EngineeringProcess ValidationRoboticsNew Product IntroductionManufacturing Quality

Questions you could be asked

Tell me about a project where automation engineering was part of your work. What did you do?
Tell me about a project where process validation was part of your work. What did you do?
Tell me about a project where robotics was part of your work. What did you do?
Tell me about a project where new product introduction was part of your work. What did you do?
Tell me about a project where manufacturing quality was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Automation Engineering, Process Validation, Robotics, New Product Introduction, and Manufacturing Quality. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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