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# Sr. Level Firmware Engineer

- **Company:** TetraMem - Accelerate The World
- **Location:** San Jose, CA, United States
- **Experience:** Expert
- **Salary:** $230,000 - $300,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, C++ (Programming Language), Continuous Integration, Software Debugging, Device Drivers, Embedded Software, Firmware, Field-Programmable Gate Array (FPGA), FreeRTOS, Hardware Interface Design, Machine Learning, Performance Tuning, Real-Time Operating Systems, Systems Architecture, System Programming, System Software, Systems Integration, PIC Microcontroller, Application Specific Integrated Circuits, Information Technology, Low Latency, Virtual Agents, Software Coding
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25304_6e57746a79ac9583612a58d70548de67

## About the Role

* BS or MS in Computer Science, Electrical Engineering, or a related field with 8+ years of embedded systems experience, including technical leadership or engineering management responsibilities.
 * Proven experience leading firmware teams through complete product development cycles from definition to commercial deployment.
 * Demonstrated experience driving cross-functional projects involving hardware, silicon, software, AI, and product management teams.
 * Experience defining product requirements, development roadmaps, engineering schedules, and execution plans.
 * Strong understanding of embedded firmware architecture for microcontroller- and SoC-based systems.
 * Experience with RTOS-based firmware architectures and integration (e.g., Zephyr, FreeRTOS).
 * Solid understanding of low-level software, device drivers, hardware interfaces, and system bring-up.
 * Proficiency in C/C++ with sufficient technical depth to provide architectural guidance and conduct design reviews.
 * Experience delivering production firmware for commercial embedded products.
 * Strong project management, communication, and stakeholder management skills with the ability to balance technical excellence, product priorities, and delivery schedules.
 * Experience working in a fast-paced startup environment with the ability to manage multiple concurrent projects.
 * Hands-on debugging and performance optimization experience is a plus.

## Description

* Lead and grow the production firmware organization, including technical direction, execution planning, mentoring, hiring, and performance management.
 * Drive firmware strategy and roadmap in partnership with product management, silicon, hardware, AI software, and system architecture teams.
 * Define product requirements, firmware architecture, development milestones, and release plans for embedded AI products from concept through production.
 * Own firmware project execution, including planning, prioritization, risk management, resource allocation, schedule tracking, and cross-functional coordination.
 * Translate product and customer requirements into scalable firmware solutions that enable high-performance embedded AI platforms.
 * Oversee the design, development, integration, and optimization of embedded software for real-time and AI-driven applications.
 * Guide firmware development for FPGA and ASIC platforms, ensuring robust hardware/software integration and successful product bring-up.
 * Lead the development of firmware, device drivers, and platform software supporting machine learning acceleration on embedded hardware.
 * Drive system-level optimization for performance, latency, power efficiency, reliability, and manufacturability.
 * Collaborate with engineering leadership to establish development processes, coding standards, quality metrics, CI/CD, testing, and release practices for production firmware.
 * Support customer engagements, product launches, and field issue resolution as required., Senior engineers are expected to serve as technical leaders and trusted cross-functional partners who contribute not only through individual technical excellence but also by mentoring others, improving engineering processes, and driving successful product execution across the organization.