Firmware Engineer

Description

Whisker is redefining what it means to live with cats—designing intelligent systems that remove friction, elevate the everyday, and celebrate the quiet brilliance of feline companionship. Today, Litter-Robot leads the category. Tomorrow, an entire ecosystem that expands what’s possible for cats and the people who love them. We believe the future is feline. And we’re imagining that future today.

We work onsite 4+ days a week, with our team based in Auburn Hills, Michigan, and Juneau, Wisconsin. Our team of 700+ passionate pet people thrives on collaboration, innovation, and the occasional office cameo from a four-legged friend.

What You’ll Do
:

The Lead Engineer drives embedded development of advanced motor control and robotic subsystems for Whisker’s next-generation smart pet products. Operating at the front end of innovation, this role focuses on designing, prototyping and productization of high-performance electromechanical systems.

Essential Duties and Responsibilities:

This list of duties and responsibilities is not all-inclusive and may be expanded to include other duties and responsibilities as deemed necessary.

• Architects and implements technical solutions on embedded systems to support IoT smart pet products
• Works closely with AWS cloud engineering team on solutions for data management
• Manages code release process for embedded team
• Conducts code reviews across multiple teams
• Conducts integration and system-level testing
• Programs, solves, and debugs with detailed knowledge in machine control and multi-threaded / multi-core programming environments, software applications, and device layering programs
• Provides information by collecting, analyzing, and summarizing development issues
• Documents and demonstrates solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code
• Stays up to date with state-of-the-art development tools, programming techniques, and computing equipment by participating in educational opportunities, reading professional publications, maintaining personal networks and participating in professional organizations
• Will perform additional responsibilities when required

Requirements

What You’ll Bring
:

• BS in Electrical Engineering, Computer Engineering or a related field.
• 5+ years of experience with low-level firmware development for embedded systems.
• In-depth understanding of embedded firmware design principles, patterns and best practices.
• Expertise in C and C++ for firmware development.
• Solid understanding of:
  • C/C++, Bare Metal, FreeRTOS (or similar)
  • Microcontroller and sensor HW selection
  • Low-level and device driver development
  • PWM, UART, I2C, SPI, SDIO, MIPI, USB, BLE, and Wi Fi
  • AWS IoT Device SDK (or similar) and MQTT protocol
• Experience with the following:
  • Embedded Linux (Yocto or similar)
  • System integration with electronic subsystems and sensors
  • Test Driven Development methodology
  • Version control tools such as Github, etc.
  • Power supplies, meters, oscilloscopes, signal generators, etc.
  • ST and Espressif MCUs and their respective development ecosystems
  • Supporting medium to large-scale IoT product deployments, including secure and reliable firmware OTA updates.
• Maintains confidentiality of proprietary information.
• Applied knowledge of control theory, including PID loop tuning, motor control (stepper/BLDC), and closed-loop systems
• Experience with rapid prototyping platforms, SBCs, and robotics systems (e.g., Arduino, Raspberry Pi, VEX)
• Ability to maintain a professional atmosphere in a fast-paced environment with numerous interactions and interruptions.
• A high degree of initiative, self-motivation, and ability to motivate others
• Ability to establish and maintain cooperative working relationships with colleagues
• Comfortable with office pets (cats, dogs)

Not Required but Nice to Have!

• Experience with Boot loader development
• Basic understanding of mechanical systems
• Experience conceptualizing, developing, and deploying Machine Learning (ML) and Computer Vision (CV) models from scratch
• Proficiency in Python and standard Data Science methodologies
• Hands-on experience with deep learning frameworks and CV platforms (e.g., Tensor Flow, Keras, PyTorch, YOLO, and…