Embedded AI Firmware Engineer

Why Work at Banner?

For over 50 years, Banner Engineering has been at the forefront of industrial automation. We offer products and solutions including award-winning sensors, wireless solutions, machine safety, indication and LED lighting. From Fortune 500 leaders to innovative startups, Banner's award-winning products and solutions are helping companies around the world increase efficiency, reduce costs, safeguard equipment, and protect personnel. Our commitment to innovation shows through a continuous, market-driven evolution of products and technology. With engineers employed in nearly every major department, engineering is in our DNA.

Banner is a rapidly growing company that offers many personal development opportunities, an excellent benefits package, and a collaborative team of employees who are passionate about what they do.

Pay and Benefits

Banner Engineering is committed to offering competitive pay and benefits, including, but not limited to:

• 401(k) with match
• Student Loan 401(k) match program
• Medical, Dental, and Vision Insurance Plans
• HSA (Health Savings Account) with company contribution
• Paid Time Off (PTO)
• Sales and Profit Sharing Eligibility
• Flexible work hours
• Life Insurance
• Paid Parental Leave
• Pet Insurance

Base Pay Range: $109,341 - $158,331

*The estimated range is the budgeted amount for this position. Final offers are based on various factors, including skill set, experience, location, qualifications and other job-related reasons.

Position Summary

We're looking for a hard-working individual who would like to join us in developing new advanced sensors utilizing novel embedded AI system solutions. The Embedded AI Firmware Engineer position is a hands-on research and investigative role focusing on product design. This role offers the opportunity to make a meaningful impact in a fast-paced and collaborative environment.

This position reports to the Sr. Technologist

What You'll Be Doing

This is a great opportunity for someone who enjoys working collaboratively, staying on top of tasks, and making a meaningful impact across teams and projects. Below are some key responsibilities of the role.

Key Responsibilities

• Architect, design, and develop software for machine vision systems running on embedded edge AI hardware.
• Participate in end-to-end software development lifecycle, from concept and architecture through implementation, testing, and delivery.
• Optimize software for performance, memory usage, and power efficiency on resource-constrained embedded devices.
• Design embedded system solutions that are modular, scalable, testable, maintainable, and capable of real-time performance.
• Support system bring-up, low-level debugging, and performance tuning on target hardware platforms.
• Define and maintain software architecture, coding standards, and long-term platform strategy.
• Lead the investigation, design, implementation, optimization, documentation, and characterization of new products and features.
• Collaborate closely with the product owner to define, refine, and implement product requirements.
• Collaborate with cross-functional engineering teams (hardware, firmware, manufacturing, test) to support product development.
• Evaluate and resolve manufacturing and field issues related to software, systems, or product performance.
• Direct product-level testing activities to ensure software quality, robustness, and reliability.
• Provide technical leadership, including training and mentoring of junior engineers.
• Other duties as assigned.

What You Bring to the Table

To perform this job successfully, you must be able to perform each essential duty satisfactorily, and regular attendance is required. The requirements listed below are representative of the knowledge, skill, and/or ability required to perform this job. Reasonable accommodations may be made to support individuals with disabilities.

Required

• Bachelor's degree in Software Engineering, Computer Science, Computer Vision, or a related field
• 8+ years of professional experience in embedded software development
• Programming proficiency in embedded C or C++
• Demonstrated experience with memory optimization and performance tuning on resource-constrained systems
• Experience with machine vision pipelines, including camera interfaces and image processing workflows
• Basic understanding of machine learning and AI fundamentals, particularly as they relate to model deployment and inference on embedded or edge devices

Preferred

• Master's Degree in Software Engineering, Computer Science, Computer Vision, or a related field
• Programming competency with Object-Oriented design and programming languages (e.g., C++, Python)
• Non-real time and real-time OS experience, with understanding of multi-threading, inter-process communications, interrupt handlers, and related topics
• Experience implementing and debugging Ethernet-based communication protocols
• Experience deploying AI models using TensorFlow Lite, ONNX Runtime, or similar on embedded edge AI device
• Experience with OpenCV or comparable machine vision libraries
• Understanding of industrial automation or machine vision applications
• Experience with CI/CD, unit testing, and code quality tools in embedded environments

Supervisory Responsibilities

• This role may lead project teams or coordinate efforts across departments but does not have direct supervisory responsibility over other employees.

What to Expect at Work

Physical Demands

The physical demands described here must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to support individuals with disabilities.

• Sit for up to 8 hours per day.
• Continuous movement, walking, or standing.
• Exposed to a computer screen for extended periods
• May require repetitive motions such as utilize a computer mouse, keyboard, computer, and other standard office equipment.
• Communicate with others frequently.
• Occasionally lift and/or move objects up to 25 pounds.
• Ability to work on-site in a manufacturing environment and travel to other facilities when needed.

Working Environment

The work environment characteristics described here are representative of those you may encounter while performing the essential functions of this job.

• Corporate office environment - indoor and climate-controlled
• Frequent interaction with internal departments, cross-functional teams, or external partners, as well as employees across all levels of the organization-including entry-level staff and up to senior leadership.
• Exposure to moderate noise, moving mechanical parts, and temperature changes in production areas.
• PPE may be required in specific areas (e.g., safety glasses, hearing protection)
• Standard hours Monday through Friday
• Exposure to various manufacturing, warehousing, or related industrial locations.

Core Values

Customer Driven, Accountability Focused, Integrity Always, New Solutions - Every Day

If you excel in a dynamic, collaborative environment and are looking for meaningful challenges and opportunities to grow, you'll find a great fit here. Banner Engineering is a premier employer headquartered in MN, offering competitive compensation, comprehensive benefits, and opportunities for professional development as we rapidly grow in the Industrial Automation industry.

Banner Engineering is an equal opportunity employer that considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, national origin, disability, or protected veteran status.

Equal Opportunity Employer (EOE) M/F/D/V

This job description reflects management's assignment of key responsibilities; it does not prescribe or restrict the tasks that may be assigned.

Equal Opportunity Employer

This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.