Automation Engineering Manager

* Success + Innovation + Dependability
* 70+ years history of Success
* Mission driven
* Collaborative, always learning, and growing mentality
* Sign-On Bonus Potential

Located in Southern California. We've been solving our customer's manufacturing challenges since 1950! We work with customers in industries such as: medical device, battery, electric vehicle, solar, electronics, automotive, industrial, etc. We offer an exciting work climate with strong opportunity for growth and advancement. We are actively looking for an Engineering Manager with the "Spirit of Innovation"!

We are on the fast track, so your growth in the next 3 years could be exponential! If this intrigues you, then please read on and apply to learn more.

Benefits:

401(k)
401(k) matching
Dental insurance
Disability insurance
Employee assistance program
Flexible schedule
Flexible spending account
Health insurance
Health savings account
Life insurance
Paid time off
Referral program
Tuition reimbursement
Vision insurance

In this role, you will oversee the Automation Engineering Team and be accountable for delivering automated solutions for software testing and other software processes
Handle portions of the Systems Software Groups programming needs for customer order specific features and development projects as well as electrical engineering support and troubleshooting.
Engineering controls for integrated system operation of motion and IO control, laser programming, machine vision, data collection and analysis, file management, dll creation, PLC code, human machine interfaces (HMI), production floor automation connectivity suites, and networking capabilities using graphical user interfaces (GUI) with real time implementation.
Ability to understand UL, CE, and NFPA standards as applicable to Systems integrations and contract orders.
Design and execute QA tests using scripts that automatically test functionality

Your profile
Technical lead level experience in C# is required
Knowledgeable in software design tools and environments including: .NET, Visual C++, C#, Windows, and networking
4 year degree in computer science, engineering, physics, or related discipline
3+ years experience in designing custom full stack desktop applications.
Experience in designing custom machine vision applications
2+ years experience in a leadership role.