Machine Vision Engineer Sr

Machine Vision Engineer Sr - OPE000003 - Fully On-Site

Primary Location

 - United States-California-San Jose

Description

 

VW. Two letters. Endless opportunities. A bright future. 

Innovation. Sophistication. Optimization. This is our Passion. 

Worldwide, the Volkswagen Group has a long tradition of innovations. The Volkswagen Group with its headquarters in Wolfsburg, is one of the world’s leading automobile manufacturers and the largest carmaker in Europe. The Group comprises diverse brands in several European countries: e.g. Volkswagen Passenger Cars, Audi, SEAT, ŠKODA, Bentley, Lamborghini, Porsche, Ducati, Scania or MAN. Here in the US, we are blending German engineering with American ingenuity.

With our battery activities, we are ready to challenge the status quo. Our mission is to power the transformation towards electric mobility and renewable energy by building a local battery industry. And we believe that it is time for a new generation of batteries: Safer, more sustainable, and more resilient. Batteries with positive power. Batteries for generations to come. We are shaping the battery's future. And just as it needs a lot of different expertise to scale big projects, the battery future will be built by people with a wide range of skills and experience. We are chemists, project managers, battery experts, procurement specialists, IT professionals, sustainability experts, and more. Regardless of your background, if you are up for the challenge, join our mission and be part of the change.

Machine Vision Engineer Sr., salary grade 9, reports to Head of Operations, Battery Accessories, and is located in San Jose, California, with a role classification of Fully On-Site.

Role Summary:

To achieve these ambitious goals, we are seeking a dedicated Machine Vision Engineer. This is a senior-level Member of Technical Staff to our Operations Department. This individual will be responsible for designing, developing, and implementing advanced machine vision systems for automation equipment in our state-of-the-art solid-state battery production. It is a critical role in developing and optimizing vision systems that drive automation processes, from vision system design and integration to troubleshooting and continuous improvement to ensure the quality and consistency of solid-state battery cells.

Role Responsibilities:

·       Lead the conceptualization, design, and full implementation of machine vision systems, including detailed hardware (camera, lens, lighting,  frame grabbers, displacement sensors, laser profilers) and software (vision algorithms) selection.

·       Design, program, and commission vision cameras for 2D/3D guidance of robots and part inspection, ensuring high accuracy and robust reliability in automated processes. 

·         Integrate machine vision systems with PLC controllers (Allen-Bradley, Siemens), I/O modules, and industrial networks (Ethernet/IP, Profinet, etc.), ensuring seamless communication with automation equipment.

·       Analyzing data from vision systems and developing machine learning models to improve inspection accuracy.

·       Lead vision system updates, upgrades, and replacements on all equipment in the cell organization

·       Collaborate with teams responsible for product design engineering, quality, production, and maintenance to ensure the successful design and deployment of vision systems for full production-scale operations. 

 

·       Troubleshoot and resolve issues in existing vision systems, leading root-cause analysis and implementing continuous improvements, while coordinating with external suppliers to boost performance and reliability. 

·       Work with cross-functional teams to integrate vision systems with MES (Manufacturing Execution System) and perform functional checks.

·       Lead the creation of project documentation, including technical specifications, drawings, test reports, and system designs. 

·       Ensure compliance with safety standards, automation codes, and industry regulations for machine vision and automation equipment. 

·       Provide mentorship to junior engineers and act as the go-to expert for all machine vision system-related matters. 

 

Qualifications

 

Qualifications:

             10 years in machine vision engineering, particularly in automation systems

Education:

Required: Bachelor’s Degree in electrical or mechatronics engineering, computer science, or similar field.

Desired: Master’s or higher in electrical or mechatronics engineering, computer science, or similar field

Required Skills:

·       Shares a real passion for our mission and vision of a carbonless future.

·       Analytical and conceptual thinking – using logic and reason, creative and strategic

·       Able to lead Project (set the Project goal, costs, team, etc.).

·       Communication skills – interpersonal, ability to manage relationships internally (within the team, with other teams) and externally (suppliers, teams of partnering companies).

·       Organized, meticulous, and has clear written and verbal communication.

·         Proficient in vision inspection software (Cognex Insight, Keyence, etc.), machine learning tools (OpenCV, TensorFlow, etc.), CAD software, and typical project management

·       Ability to successfully manage projects and meet deadlines amidst changing requirements and priorities.

·       Proven success integrating machine vision systems within broader automation processes and teams, ensuring cohesive operation.

·       Embrace new challenges, learn new techniques, and surpass internal goals.

·       Demonstrate flexibility and resourcefulness allowing smooth adaptation to a constantly evolving environment and work priorities.

·       Strong multitasking abilities, priority management, and a sense of urgency in meeting tight schedules

·       Experience working in a fast-paced environment and able to work under pressure to meet project deadlines.

Specialized Skills

Required:

·       Expertise in 2D/3D vision system design and development, with hands-on experience using industry-standard platforms (Cognex, Keyence) for automated inspection, robotic guidance, or quality control.

·       Proficiency in developing vision algorithms using industry-standard vision platforms, including Cognex VPro, Keyence, SICK, Fanuc, Halcon, and Matrox.

·       Proficient in vision system scripting and toolbox usage, with the ability to tweak parameters and optimize recognition scores.

·       Ability to troubleshoot and optimize vision systems, handling variations in the process to improve accuracy and performance, with experience in developing machine learning models.

·       Familiarity with automation equipment safety compliance, codes, and standards (e.g., SEMI, NFPA 79) and compliance requirements for integrated vision and robotics..

·       Excellent written and verbal communication skills, with the ability to create comprehensive project documentation and present technical findings.

·       Advanced proficiency in PLC programming, with deep expertise in Allen-Bradley (Studio 5000), Siemens (TIA Portal), and other automation platforms.

·       Proven track of record in leading complex projects, mentoring junior engineers, and driving continuous improvement in automation systems.

·       Proven experience in manufacturing scale-up.

·       Experience developing vision applications using programming languages such as C++, C#, Python, VB.

·       Experience in designing and implementing Design of Experiments (DOEs) and test plans for manufacturing and control processes.

 Desired:

·       Experience in designing, developing, and integrating complex automation equipment beyond vision systems, incl controls and robotics.

·       Advanced data analysis and machine learning skills.

·       Experience in solid-state battery industry

 Work Flexibility:

• Ability to maintain flexible work hours to account for time zone differences with Europe, when necessary.
• Overtime may be required to meet ramp-up deadlines.
• 10% Travel.

In San Jose, California, the salary range for this role is $135,000 – $202,000, depending on education and experience. 

Benefits for this position include: 

·       Eligibility for annual performance bonus 

·       Healthcare benefits

·       401(k), with company match

·       Defined contribution retirement program.

·       Tuition reimbursement

·       Company lease car program

·       Paid time off

 

Volkswagen Group of America is an Equal Opportunity Employer.  We welcome and encourage applicants from all backgrounds and do not discriminate based on race, sex, age, disability, sexual orientation, national origin, religion, color, gender identity/expression, marital status, veteran status, or any other characteristics protected by applicable laws.

We maintain a drug-free workplace and perform pre-employment substance abuse testing.   

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform crucial job functions, and receive other benefits and privileges of employment.  Please contact us to request accommodation.   

 

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