Staff Embedded Software Engineer
BrightAI is a high-growth company at the forefront of AI, IoT, Cloud, and Mobile technologies. We are dedicated to revolutionizing industries and transforming the way businesses operate. Our team is composed of the best and brightest minds, many of whom have played key roles in leading companies such as Microsoft, Amazon Alexa, SmartThings, and Samsung. As we continue to expand, we are seeking innovative individuals to join us on this exciting journey.
We are looking for a Staff Engineer to help guide our product development efforts and steer cross-functional engineering teams in a fast-paced, innovation-driven environment. As a Technical Lead at BrightAI, you will be responsible for driving architecture, leading engineering execution, and mentoring top-tier talent to deliver world-class hardware/software/AI platforms. Your technical expertise and leadership will shape the future of our products—with a focus on cutting-edge Embedded Linux systems.
Responsibilities
- Lead the design and development of edge-based systems, from initial concept through production
- Collaborate closely with the product team to drive technical development
- Must have an excellent demeanor engaging customers. Provide a pleasant working experience externally and internally to the organization. This position is customer facing.
- Collaborate with stakeholders across hardware, software, AI, and product teams to bring reliable, intelligent edge devices to market
- Be capable of translating business/product requirements into technical requirements. Understand and adjust product requirements to align with best technical practices.
- Drive the internal development and report technical status internally and externally.
- Guide the integration of embedded software with custom hardware, ensuring stable and scalable solutions
- Drive the overall technical roadmap, ensuring alignment across software, firmware, hardware, and cloud integration
- Provide technical leadership to cross-functional teams and mentor engineers in embedded systems design and debugging
- Create and enforce best practices for embedded development
- Work closely with electrical and hardware engineers to ensure seamless hardware-software integration and platform bring-up
- Stay hands-on with code and systems-level debugging when needed, especially during early bring-up and troubleshooting phases
- Lead and participate in architecture and code reviews, ensuring quality, maintainability, and performance
- Establish and maintain documentation, development processes, and tools to support embedded platform stability and scalability
- Contribute to hiring and team growth through mentoring, technical interviews, and strategic planning
Skills and Expertise
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field
- 6+ years of experience developing embedded software, with at least 2 years in a leadership role
- Experience in Embedded Linux development, device driver development, and board bring-up
- Command of C/C++, with working knowledge of Python, Bash, or other scripting languages
- Experience with Yocto Project, Buildroot, or other embedded Linux build systems
- Understanding of embedded system constraints and optimization techniques for performance and memory
- Proficiency with Linux debugging tools: GDB, strace, dmesg, perf, etc.
- Solid understanding of hardware interfaces: I2C, SPI, UART, GPIO, MIPI, USB, etc.
- Comfortable with Git, CI/CD pipelines, and collaborative development workflows
- Familiarity with security best practices in embedded Linux environments (e.g., secure boot, trusted execution environments, encryption)
- Experience working with cross-functional teams across hardware, software, and systems engineering
- Excellent communication, documentation, and team leadership skills
Bonus
- Experience integrating AI/ML workloads on embedded Linux platforms
- Knowledge of real-time operating systems (RTOS) and hybrid RTOS/Linux environments
- Experience with secure provisioning and OTA updates for Linux-based devices
- Familiarity with containerized workloads on embedded Linux (e.g., Docker, Balena)
- Hands-on experience with FPGA integration or SoCs (e.g., Xilinx Zynq, NXP i.MX)
- Exposure to cloud connectivity for edge devices (AWS IoT, Azure IoT, MQTT, etc.)
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