Engineering Technician jobs in United States, California, Milpitas

located inUS California Milpitas.

Reporting to thetheDirector, Operations Engineeringwill be in charge of managing day-to-day operations and core functions of operations to achieve and maintain operational excellence. *Customer deliverables (costs, within time).

What a typical day looks like:

• Guarantee production, delivery in full, on time and in specifications, required by customers, at the most cutthroat cost.

• Define operational financial goals.

• Operational business experience including a successful performance track record managing staff and P&L.

• Establish and communicate Business Unit goals and assignments.

• Define and execute operational programs in line with strategic plans and annual operating goals.

• Meet with Executive Business at least monthly to review and evaluate KOI's.

• Attend quarterly business reviews with key customers.

• Partner with other business to establish strategic plans and goals.

• Direct and control the activities on purchasing business, production control, planning, manufacturing engineering, test engineering, maintenance, manufacturing and logistics.

• Implement appropriate HR strategies and actions to recruit and retain a qualified and motivated workforce

The experience we’re looking to add to our team,

• Bachelor’s Degree in a related field or equivalent experience and training.

• +8 years of management experience.

• High-volume assembly manufacturer

• Strong leadership experience

Here are a few of our preferred experiences:

• A Master’s or MBA degree is preferred

• Lean manufacturing, Six Sigma Methodologies

What you'll receive for the great work you provide:

• Full range of medical, dental, and vision plans
• Life Insurance
• Short-term and Long-term Disability
• Matching 401(k) Contributions
• Vacation and Paid Sick Time
• Tuition Reimbursement

In this role, you’ll be at the heart of breakthrough product development, guiding a talented team of systems engineers and collaborating across optics, electronics, mechanics, software, and algorithms. You’ll work closely with division leadership, external partners, and customers to deliver solutions that push boundaries and exceed expectations.

What You’ll Own:

• Lead and mentor a team of systems design engineers responsible for integrating hardware and software on complex eBeam tools.
• Drive cross-functional collaboration and lead design reviews to ensure optimal system architecture.
• Spearhead next-generation product development with bold, strategic thinking and a focus on delivering winning solutions.
• Oversee prototype testing, risk assessments, and mitigation strategies that guide product lifecycle decisions.
• Support customer escalations with technical expertise and a commitment to excellence.
• Champion onboarding and development for new systems engineers, fostering a culture of growth and innovation.

Minimum Qualifications

• Deep expertise in electron optics or SEM technology, with strong foundations in physics, mathematics, and computational skills.
• 7+ years of experience in systems engineering for complex semiconductor systems.
• 3+ years of proven success in people management and team leadership.
• Excellent communication and interpersonal skills to lead across functions and engage with global stakeholders.
• Willingness to travel globally up to 15%.

or at +1-408-352-2808

. Please ensure that you have searched

1. Demonstrated ability in developing machine learning algorithms for computer vision, image processing, and image classification problems.

2. Led teams to develop products with performance and cost constraints that required complex tradeoffs to be considered and analyzed.

3. Knowledgeable in the latest advances and tools in the AI industry.

4. Familiar with different statistical methods to analyze vast and complex datasets to explain trends, patterns, and correlations within the data.

5. Experience with Deep Learning Frameworks like PyTorch or TensorFlow.

6. Experience with C/C++.

7. Excellent verbal and written communication skills.

8. Creativity and curiosity for solving complex problems.

9. Understanding of semiconductor manufacturing industry and process control.

10. PhD in Computer Science, Electrical Engineering, or related fields with 15 years of experience or MS in the same fields with 20 years of experience.

Minimum Qualifications

1. Demonstrated ability in developing machine learning algorithms for computer vision, image processing, and image classification problems.

2. Led teams to develop products with performance and cost constraints that required sophisticated tradeoffs to be considered and analyzed.

3. Knowledgeable in the latest advances and tools in the AI industry.

4. Familiar with different statistical methods to analyze vast and various datasets to explain trends, patterns, and correlations within the data.

5. Experience with Deep Learning Frameworks like PyTorch or TensorFlow.

6. Experience with C/C++.

7. Excellent verbal and written communication skills.

8. MS in Computer Science, Electrical Engineering, or related fields with 15 years of experience or BS in the same fields with 20 years of experience.

or at +1-408-352-2808

Key Responsibilities:

• Roadmap & Stakeholder Alignment
  • Contribute to product roadmap planning by gathering and analyzing customer requirements and industry trends.
  • Interface with internal and external stakeholders to align on inspection capabilities, performance targets, and delivery timelines.
• System Requirements & Architecture
  • Define and validate system-level requirements including calibration, image acquisition, defect detection, and throughput optimization.
  • Translate functional needs into technical specifications and ensure traceability throughout the development lifecycle.
• Cross-Functional Development
  • Collaborate with hardware, software and algorithm teams to architect and implement integrated solutions.
  • Support system bring-up, integration, and debug activities across subsystems
• Performance Validation & Production Readiness
  • Develop and execute test plans to validate system performance against KPIs such as sensitivity, false detection rate, and inspection time.
  • Ensure readiness for high-volume manufacturing by supporting reliability testing, calibration automation, and field issue resolution.
• Data Analysis & Continuous Improvement
  • Investigate inspection anomalies using data analysis tools and propose corrective actions or design improvements.
  • Drive root cause analysis and implement solutions to improve system robustness and yield.

Minimum Qualifications

• Master’s degree in Optical Engineering, Electrical Engineering, Physics, Materials Science, or a related field
• 2+ years of experience in semiconductor equipment, mask or wafer inspection, or related high-precision systems
• Strong analytical and problem-solving skills with hands-on experience in data analysis (e.g., MATLAB, Python, JMP)
• Excellent communication and collaboration skills across multidisciplinary teams

or at +1-408-352-2808

Responsibilities will include:

• Perform mechanical, optomechanical and electrical assembly, cabling, alignment and calibration.
• Maintain and qualify existing metrology tools, performing required PMs and activities to return them to qualified operation.
• Occasional travel to support tools at customer or manufacturing sites worldwide.

Qualifications:

• Hands on assembly and troubleshooting
• Experience with semiconductor equipment, optics, stages and motion control desired.
• Must be able to read technical documentation.
• Self-starter and able to work with minimal supervision to complete assignments and report status.
• Experience building and troubleshooting mechanical systems, optical systems, robotics, motion control, semiconductor capital equipment, biomedical equipment or x-ray or electron-beam systems.
• Excellent communication skills. Ability to generate and redline procedures and documentation.
• Experience working in engineering prototype development environment.

Minimum Qualifications

Engineering background in Mechanical, Electrical, Manufacturing, Equipment, Systems or other related field or equivalent experience, preferred.

or at +1-408-352-2808

Minimum Qualifications

Doctorate (Academic) Degree and related work experience of 3 years; Master's Level Degree and related work experience of 6 years; Bachelor's Level Degree and related work experience of 8 years

or at +1-408-352-2808