Senior Manufacturing Engineer, CNC Machining

Amazon is seeking a Senior Manufacturing Engineer specializing in CNC machining to lead precision machining operations. This role is serves as the technical lead for machining strategy equipment selection process development and operational readiness.

You will partner with internal teams and external providers to manage machining systems that support our products. This role requires deep experience with multi-axis CNC machining fixturing tooling and process validation along with the ability to think holisticallyconnecting machine selection process architecture and operational performance. You will act as a technical leader within the broader engineering organization driving alignment and execution across design quality and other domains.

Key job responsibilities
- Own end-to-end strategy for CNC machining operations defining process capabilities throughput expectations and quality benchmarks
- Drive selection and procurement of CNC equipment evaluating machine platforms tooling systems and workholding solutions to establish standardized scalable approaches
- Define tooling strategies including cutter selection tool life management optimization programs and vendor engagement
- Design and optimize layouts and machining workflows to improve material flow machine utilization and overall efficiency
- Develop and implement machining process plans including CAM programming standards setup procedures and in-process validation methods
- Lead fixturing and workholding strategies across part families to ensure repeatability precision and efficient changeover
- Build and manage relationships with machine tool OEMs tooling suppliers and integration partners leading technical evaluation qualification and deployment of solutions
- Continuously improve machining processes to increase efficiency reduce cycle times and improve tool life and surface finish outcomes
- Establish and maintain comprehensive documentation including process sheets control plans FMEAs and standard operating procedures
- Partner with design engineering teams to provide DFM feedback and ensure part designs are optimized for machinability and production readiness
- Collaborate with quality and metrology teams to define inspection strategies SPC frameworks and capability study requirements
- Work cross-functionally to ensure cohesive planning integration and execution across machining and adjacent manufacturing processes
- Evaluate emerging machining technologies materials and techniques and recommend strategic investments to enhance capabilities

- Bachelors degree in Computer Science Engineering Math Operations Research or a related field
- 7 years of experience working with complex high-throughput systems or operational environments
- Experience owning and optimizing end-to-end processes including performance reliability and quality outcomes
- Experience selecting configuring and deploying technical systems or platforms in a production environment
- Demonstrated ability to analyze system performance and drive improvements in efficiency utilization and consistency
- Experience working with external partners or vendors to deliver technical solutions
- Strong cross-functional collaboration skills with experience working across engineering operations and quality teams
- Proficiency in data-driven decision making including use of metrics statistical methods and structured problem solving

- Advanced degree in Engineering Computer Science or a related technical discipline
- Experience designing and scaling complex systems or platforms in high-volume environments
- Deep understanding of automation orchestration or workflow optimization in production systems
- Experience developing and implementing monitoring validation or control frameworks
- Familiarity with system architecture trade-offs standardization strategies and lifecycle management
- Experience driving continuous improvement initiatives with measurable impact on performance and reliability
- Strong technical leadership experience including setting direction and influencing across teams
- Experience evaluating and integrating emerging technologies into existing systems
- Ability to translate complex technical concepts into clear actionable plans for diverse stakeholders

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 for more information. If the country/region youre applying in isnt 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 MA - 137300.00 - 185700.00 USD annually
USA TX Austin - 137300.00 - 185700.00 USD annually
USA WA Seattle - 137300.00 - 185700.00 USD annually