Automation Process Engineer, Manufacturing Automation Design & Engineering

Amazon Web Services (AWS); Sunnyvale (CA); On-site; USD 183,000 - 248,000; Full time

Job summary

Amazon Data Services, Inc. in Sunnyvale, CA, is seeking an experienced Manufacturing Automation Engineer to own end-to-end automation for high-volume X86/G-Series/ESH production.

You will define automated sequences, specify robotic cell requirements, and validate processes for production readiness. You will collaborate with robotics, vision, controls, and hardware design teams to apply solutions, drive automation deployments, and ensure quality targets are met.

Qualifications

• BS/MS in Mechanical, Manufacturing or Industrial Engineering or equivalent.
• 7+ years in manufacturing process engineering with automated assembly experience.
• Experience developing process specifications for high-volume electronic hardware assembly.
• Experience with process validation methodologies (PFMEA, capability studies, DOE).
• Track record deploying automation solutions in production environments.
• Experience with multi-site manufacturing across geographies.
• Experience driving automation readiness during NPI from concept through ramp.

Responsibilities

• Own automation process specifications for X86/G-Series/ESH platform assembly operations.
• Define automated sequences and station allocations for high-volume X86 operations.
• Develop and execute process validation protocols for automated stations.
• Drive automation deployment and ramp at contract manufacturer sites.
• Identify automation opportunities and drive business case development.
• Coordinate with robotics, vision, and controls teams to apply solutions.
• Own platform automation KPIs: throughput, yield, automation rate, cycle time.
• Track KPIs and drive continuous improvement for high-volume product lines.
• Collaborate with Manufacturing Process Quality to define verification requirements.
• Serve as automation contact during NPI and assist design teams transitioning to production.
• Partner with Hardware Engineering to manage automation requirements and participate in reviews.

Skills

Manufacturing process engineering

Automated assembly

NPI experience

DFM/DFA feedback

Cross-site deployment

Education

BS/MS in Mechanical Engineering, Manufacturing Engineering, Industrial Engineering, or equivalent

Tools

PFMEA

DOE

Capability studies

Job description

Description

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.

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 X86/G-Series/ESH platform families. This includes defining automated assembly sequences, specifying robotic cell requirements, developing process validation protocols, and driving automation deployment at contract manufacturer sites for these high-volume platforms. You serve as the single-threaded owner for all automation decisions affecting X86/G-Series/ESH production, working with central engineering specialists (robotics, vision, controls, mechanical) to apply their capabilities to your platform's unique requirements. These platforms represent the highest production volumes, making automation ROI and scalability paramount. 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 X86 platform family. You serve as the point of contact for automation during New Product Introduction (NPI), supporting the product design team in transitioning new X86 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 X86/G-Series/ESH platform assembly operations
• Define automated assembly sequences and station allocations for high-volume X86 platform operations
• Develop and execute process validation protocols for automated stations on X86 lines
• Drive automation deployment and ramp at contract manufacturer sites for the X86/G-Series platform
• Identify automation opportunities specific to X86/G-Series 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
• Track platform automation KPIs and drive continuous improvement for highest-volume product lines
• 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 X86 designs to production-ready automated assembly
• Partner with Hardware Engineering (Product Design vertical) to manage automation requirements and participate in design reviews for new X86 configurations

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 high-volume electronic or 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 x86 server, rack-scale, or data center hardware assembly
• High-volume manufacturing optimization experience (10K+ units/month)
• Knowledge of robotic assembly systems and collaborative robots
• Experience with design-for-automated-assembly (DFAA) principles
• 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, CA, Sunnyvale - 183,000.00 - 247,600.00 USD annually

USA, TX, Austin - 159,200.00 - 215,300.00 USD annually

USA, TX, Houston - 159,200.00 - 215,300.00 USD annually

USA, WA, Seattle - 159,200.00 - 215,300.00 USD annually

Company

Amazon Data Services, Inc.

Job ID: A10501712