About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Motor Vehicle Parts Manufacturing.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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What You’ll Do

Confidential Client is hiring an Embedded Software Engineer focused on AI-enabled wearable systems for vehicle and mobility applications. You will work with cross-functional hardware, firmware, and ML teams to design, implement, and validate embedded software that runs on resource-constrained devices integrated into vehicle systems.

• Design and implement embedded software for AI wearables and sensor-equipped devices used in vehicle environments
• Integrate and deploy lightweight ML/AI models on embedded platforms and collaborate on model-to-edge deployment pipelines
• Work closely with hardware engineers on board bring-up, peripheral drivers, and hardware/software integration
• Develop firmware for real-time and low-power operation, including RTOS or embedded Linux environments
• Implement unit, integration, and system-level tests; debug issues on target hardware and in-field systems
• Create and maintain technical documentation, software design specs, and API contracts
• Collaborate across product, systems, and QA teams to move features from prototype to production

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Minimum Qualifications

• Bachelor’s degree in Computer Science, Electrical Engineering, or a related field (per job posting educational requirement)
• Experience in embedded software development or firmware engineering for device-level systems (wearables, consumer electronics, or automotive-adjacent hardware)
• Familiarity with integrating ML/AI inference on edge or embedded platforms and working with sensor data pipelines
• Strong debugging and problem-solving skills with embedded toolchains and hardware debuggers
• Clear communication and the ability to work effectively in cross-functional teams

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Preferred Qualifications

• Experience with real-time operating systems (RTOS), embedded Linux, or low-power microcontroller platforms
• Background in sensor fusion, signal processing, or deploying quantized ML models to edge devices
• Prior experience in the automotive or motor-vehicle parts manufacturing space (preferred)
• Familiarity with CI/CD for embedded systems, hardware bring-up, and field diagnostics

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Location & Work Authorization

• Location: Chicago, IL — this role is expected to work on-site or be local to the Chicago area as required by project needs.
• Applicants must be legally authorized to work in the United States. Confidential Client will consider applicants in compliance with applicable local, state, and federal hiring laws.

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What We Offer

• Opportunity to work at the intersection of embedded systems and on-device AI for vehicle applications
• Cross-functional collaboration with hardware and ML teams on production-grade wearable systems
• A culture focused on innovation, quality, and customer impact

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind.
To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.