Embedded AI Firmware Engineer

Banner Engineering Career•Plymouth, MN

12h•$109,341 - $158,331

About The Position

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

Requirements

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

Nice To Haves

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

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.