Embedded Systems Engineer IV, R&D

• End-to-End Development: Architect, implement, and maintain embedded software from initial conceptual prototypes to ruggedized, scalable, enterprise-level production code.
• Platform Ownership: Develop and optimize firmware and middleware on platforms including Raspberry Pi, NVIDIA Jetson, and ARM-based System-on-Modules (SOMs).
• Sensor & Peripheral Integration: Write and debug low-level drivers and interfaces for a diverse ecosystem of peripherals, cameras, and environmental sensors via protocols such as I2C, SPI, UART, USB, and PCIe.
• Edge Intelligence & Compute: Optimize software on compute-constrained edge devices, including leveraging hardware acceleration (e.g., CUDA, TensorRT on Jetson platforms) for real-time data processing and computer vision pipelines.
• System Stability & Lifecycle: Design robust fault-detection, automated recovery mechanisms, and secure over-the-air (OTA) firmware update systems to ensure maximum field stability.
• Cross-Functional Collaboration: Partner closely with hardware/electrical engineers, mechanical designers, and cloud backend teams to define system architectures and interfaces.
• Mentorship & Standards: Drive code quality through rigorous code reviews, automated testing, and comprehensive documentation. Mentor junior and mid-level engineers on the team.
• Perform additional duties as assigned.

What you will need:

• Ability to read, write, speak and understand English.
• BS degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field (or equivalent practical experience).
• 6+ years’ Professional experience in embedded software development, with a proven track record of shipping commercial or industrial hardware products
• Expert-level proficiency in C and C++; strong scripting skills in Python or Bash for testing and automation.
• OS Expertise: Deep experience developing within Embedded Linux environments (including kernel configuration, device tree modification, and custom driver development).
• Hands-on experience building applications on Raspberry Pi (Linux/Debian) and NVIDIA Jetson (JetPack ecosystem).
• Solid understanding of hardware communication protocols: SPI, I2C, UART, CAN bus, USB.
• Experience interfacing with high-resolution image sensors, cameras, or specialized sensors.
• Proficiency with modern software engineering tools: Git, CMake, Docker, and CI/CD pipelines tailored for embedded targets.
• Familiarity with networking stacks and IoT communication protocols (TCP/IP, UDP, MQTT, gRPC).
• Comfortable utilizing lab equipment like oscilloscopes, logic analyzers, and multimeters to debug hardware/software boundary issues.
• Expert in version control systems including trunk-based development, multiple release planning, cherry picking, and rebase.

• Experience with custom Linux distribution builders like Yocto Project or Buildroot.
• Familiarity with real-time operating systems (RTOS) or bare-metal ARM development.
• Experience deploying or optimizing machine learning models at the edge.

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At ACV, we are committed to an inclusive culture in which every individual is welcomed and empowered to celebrate their true selves. We achieve this by fostering a work environment of acceptance and understanding that is free from discrimination. ACV is committed to being an equal opportunity employer regardless of sex, race, creed, color, religion, marital status, national origin, age, pregnancy, sexual orientation, gender, gender identity, gender expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires reasonable accommodation, please let us know.

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No immigration or work visa sponsorship provided for this position.

The compensation range for this position is listed in the "Job Details" section at the bottom of this posting.

Please note that final compensation will be determined based upon the applicant's relevant experience, skill set, location, business needs, market demands, and other factors as permitted by law.