We are still hiring

We hope that through this challenging time, you and your family are staying safe and healthy. Though the COVID-19 pandemic is presenting unprecedented challenges, we continue to hire for our open positions. Our recruiting and hiring teams are taking prudent measures to minimize the spread of COVID-19 and still provide you with a great candidate experience. However, due to adjustments in work, life, and an increase in applications, we may start to experience some delays. Thank you for your patience and understanding.

To learn more about Intuitive’s response to COVID-19, see our company statement.

RMA Line Engineer

Job Description

Job: Manufacturing & Operations
Primary Location: United States-California-Sunnyvale-US-CA-Sunnyvale
Schedule: Full-time
Requisition ID: 200925


Joining Intuitive Surgical means joining a team dedicated to using technology to benefit patients by improving surgical efficacy and 
decreasing surgical invasiveness, with patient safety as our highest priority. 

Primary Function of Position:

Line Engineer is responsible for supporting production released robotic systems.  Deliver improvements in reliability, serviceability, manufacturability, capacity, and cost.  Provide mechanical support for cross-functional team including electrical and software disciplines.

Roles and Responsibilities:
  • Provides product and process Design for Manufacturability input to enhance manufacturability and servicing.
  • Takes ownership of products from production phase through end-of-life.
  • Assists in creation and maintenance of efficient “mid-volume” manufacturing assembly line, specifying and/or refining BOMs, work flow processes and detailed work instructions.
  • Provides training and support to repair technicians.
  • Design, qualify, document and introduce production and service assembly/test fixtures and equipment.
  • Takes responsibility for maintaining compliance with medical device quality system including corrective action closure, discrepant material dispositions and ECO implementation.
  • Provides technical support analyzing and /or performing failure analysis for discrepant production components, assemblies and field returns.
  • Leads/participates in initiative focused on yield improvement, material cost reduction, capacity enhancement, and outsourcing of assemblies.
  • Must possess strong communication skills to interface with technicians, product development, planning, purchasing, regulatory, inspection, customer support and clinical marketing organizations.
  • Performs other duties as required.
  • Travel: Position may require 5-10% travel, primarily within U.S.


Skill/Job Requirements:

  • Candidate must be of high character and energy with regard for detail.
  • Demonstrated Electro-mechanical and/or Process Engineering ability.
  • Demonstrated ability in failure analysis and continuous improvement.
  • BS degree in Mechanical Engineering or equivalent.
  • 3-5 years relevant work experience.
  • Solid modeling experience (ProE, SolidWorks, or similar).
  • MS degree in an Engineering discipline.
  • Minimum 5 years’ experience as design or manufacturing engineer supporting product with significant mechanical content.
  • Prior experience with various sensor applications and technologies, including reliability and performance assessment.
  • Prior experience working in an FDA/ISO regulated environment.
  • Demonstrated ability to effectively design experiments.
  • Prior team leadership demands.
  • Prior supplier quality responsibility.
  • Prior responsibility for process, equipment or product validation/verification.
  • Prior experience applying automated equipment, complex mechanism manufacturing, or robotics.
  • Machine tool experiences a plus.
  • Experience with ASME Y14.5 Geometric Dimensioning and Tolerance.
  • Experience in Just-In-Time, Demand Flow Technology, and Lean Manufacturing techniques.

We are an AA/EEO/Veterans/Disabled employer.
We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws.