Sr NPI Manufacturing Engineer

• Ways of Working:
  Onsite - This job is fully onsite.
• Employee Type:
  Employee
• Min. Salary Region 1: 156400 USD
• Global Job Level (HCM):
  Professional 4 (11)
• Min. Salary Region 2: 132900 USD

It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive
. As a global leader in robotic-assisted surgery and minimally invasive care
, our technologies—like the da Vinci surgical system and Ion
—have transformed how care is delivered for millions of patients worldwide.

We’re a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world.

The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful—because every improvement we make has the potential to change a life.

If you’re ready to contribute to something bigger than yourself and help transform the future of healthcare
, you’ll find your purpose here.

Primary Function of Position
We are seeking a collaborative and technically strong Manufacturing Process Engineer to support next-generation vision and illumination systems for advanced bronchoscopic instruments. In this role, you will lead the development, validation, and continuous improvement of manufacturing processes for complex electro-optical assemblies. You will partner closely with Design Engineering, Optical Engineering, Quality, and Supplier teams to ensure robust, scalable processes that deliver exceptional product performance and patient safety.

• Develop, release, and validate scalable manufacturing processes for advanced electro‑optical and electronic assemblies.
• Support integration and alignment of compact imaging and illumination components.
• Define robust assembly and inspection methods for precision electronic, optical, and fiber‑based subassemblies.
• Ensure high‑quality build and test practices across a range of multi‑disciplinary technologies.
• Perform statistical analysis including Cpk, process capability analysis, DOE, ANOVA, regression analysis
• Monitor yield trends and implement corrective actions to improve manufacturability and reliability.
• Create and maintain pFMEAs and mitigate identified risks.
• Utilize basic Python scripting to:
  • Analyze process and test data
  • Automate test data parsing and reporting
  • Support statistical evaluation and visualization
• Collaborate with automation, equipment, and test engineering to improve automated test coverage and data traceability.
• Partner with:
  • Optical and Electrical Design Engineers on DFM/DFX reviews
  • Clinical and Human Factors teams to understand imaging performance needs
  • Supplier Engineering on PCB and electro-optical components
• Support early NPI ramp to launch
• Provide hands‑on support to the production line during issue resolution and scale‑up.
• Lead root cause investigations involving vision and illumination.
• Implement yield and cycle time improvements in electro-optical assembly processes.
• Develop and revise detailed manufacturing process instructions for processes.
• Train technicians and manufacturing staff in new processes and quality standards.

Required Skills and Experience

• 5+ years in manufacturing engineering, preferably in electro‑optical, medical device, imaging, or high‑reliability electronics environments
• Experience working with electro‑optical and electronic assemblies.
• Working knowledge of Six Sigma tools, Cpk, DOE, statistical process control
• Root cause analysis experience (8D, Fishbone, DMAIC)
• Familiarity with ALM/PLM systems for ECO and risk management
• Basic coding proficiency in Python for data analysis or automation
• Strong communication skills across technical and non‑technical teams
• Ability to manage multiple projects in a fast‑paced NPI environment
• Willingness to travel occasionally to suppliers or manufacturing sites

Required Education and Training

• BS in Mechanical Engineering, Electrical Engineering, Optical Engineering, Biomedical Engineering, or related field

Working…