Senior Manufacturing Process Engineer
- Category: Manufacturing Jobs
- Location: Fremont, California
- Job Type: Full Time / Part Time
- Salary: Estimated: $ 17K to 19K
- Published on: 2025/09/21
Job description
Job Description
The San Francisco Chronicle has recognized Nextracker (Nasdaq: NXT) as one of the Top Workplaces. Join our growing team!
This position is a hybrid role (3x per week onsite) that will be based at our headquarters in Fremont, California.
Senior Manufacturing Process Engineer
We are seeking a highly skilled and experienced Senior Manufacturing Process Engineer to join our team. As a Senior Process Engineer, you will play a key role in optimizing our manufacturing processes to ensure efficiency, quality, and cost-effectiveness. You will work closely with cross-functional teams to drive process improvements, implement best practices, and deliver high-quality products to our customers.
Key Responsibilities
Process Development and Optimization:
• Lead the refinement and optimization of manufacturing processes across multiple product lines to enhance efficiency, reduce waste, and improve overall quality.
• Identify and implement opportunities for productivity enhancement through the adoption of automation, robotics, and advanced manufacturing technologies.
• Collaborate closely with design engineering teams to ensure seamless transition from product design to mass production, focusing on design for manufacturability (DFM) principles.
• Foster strong partnerships with external suppliers to streamline the documentation and analysis of manufacturing processes for electronic products, ensuring alignment with industry standards and regulations.
• Drive the implementation of Lean Manufacturing and Six Sigma methodologies, actively seeking out opportunities for continuous improvement and operational excellence.
• Employ advanced techniques such as Value Stream Mapping (VSM), Kaizen events, and Statistical Process Control (SPC) to drive meaningful process enhancements and cost savings.
Documentation And Auditing
• Develop and maintain comprehensive process documentation, including detailed work instructions, standard operating procedures (SOPs), and control plans, ensuring accuracy and compliance with regulatory requirements.
• Conduct thorough process audits utilizing a combination of internal standards and industry best practices to identify areas for improvement and ensure adherence to quality standards.
• Proactively engage with cross-functional teams to address audit findings and implement corrective actions in a timely manner, fostering a culture of accountability and continuous improvement.
Project Management
• Manage and prioritize multiple projects simultaneously, utilizing robust project management methodologies and tools to ensure alignment with organizational goals and objectives.
• Apply the Define, Measure, Analyze, Improve, Control (DMAIC) framework to project management, facilitating structured problem-solving and data-driven decision-making throughout the project lifecycle.
• Collaborate closely with stakeholders from various departments, including Design, team, Operations, and Quality Assurance, to ensure seamless project execution and timely delivery of results.
Quality Management And Process Control
• Drive the implementation of comprehensive quality management systems, including the identification and documentation of critical to quality (CTQ) characteristics and the development of robust control plans.
• Leverage advanced quality tools such as Failure Mode and Effects Analysis (FMEA), Root Cause Analysis (RCA), and Design of Experiments (DOE) to proactively identify and mitigate risks to product quality.
• Champion a culture of quality excellence throughout the organization, providing guidance and training to cross-functional teams on quality principles and best practices.
Data Analysis And Process Improvement
• Utilize advanced data analysis techniques to identify trends, patterns, and opportunities for process improvement, leveraging tools such as Statistical Process Control (SPC), Pareto analysis, and regression analysis.
• Collaborate with data scientists and analysts to develop predictive models and algorithms to optimize manufacturing processes and enhance product quality.
• Actively monitor key performance indicators (KPIs) and metrics to track progress against goals and identify areas for further optimization and refinement.
Qualifications And Experience
• Bachelor's degree in Engineering, Manufacturing, or a related field; Master's degree preferred.
• Minimum 6 years of experience in a manufacturing process engineering role, preferably within the high-power electronics industry.
• Experience working at supplier locations and collaborating with external teams.
• Proven expertise in Lean Six Sigma methodologies.
• Strong understanding of statistical process control (SPC) techniques.
• Excellent analytical and problem-solving skills with a data-driven approach to process improvement.
• Strong communication, collaboration, and interpersonal skills.
• Ability to manage multiple projects simultaneously and meet deadlines.
• Experience working in a contract manufacturing environment preferred.
• Working knowledge of high voltage safety regulations.
• Flexibility to travel up to 20%
Salary Range Applicable to California $130,000 - $160,000
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