Responsibilities:
• Design, develop, and optimize embedded software for real-time and AI-driven applications.
• Work with FPGA and ASIC platforms, ensuring seamless integration and performance tuning.
• Develop high-performance drivers and firmware to support machine learning workloads on embedded hardware.
• Implement low-level optimizations to improve latency, power efficiency, and performance.
• Support the deployment of edge AI models, optimizing for constraints such as power, memory, and compute resources.
• Provide technical leadership, mentoring junior engineers and driving best practices in embedded software development.
• Ensure software meets real-time performance, reliability, and security requirements.
Requirements:
• BS or MS in Computer Science, Electrical Engineering, or related field with 5+ years of experience in embedded system development.
• Strong expertise in embedded software development for microcontroller-based platforms.
• Proficiency in C and C++ for embedded systems.
• Strong experience with RTOS, device drivers, and low-level hardware interactions.
• Strong experience with firmware architectures for RTOS based devices, with hands-on RTOS integration experience (e.g., Zephyr, FreeRTOS).
• Track record of shipping products as an embedded software engineer.
• Strong debugging and profiling skills for low-level system optimization.
• Ability to work independently and collaboratively in a fast-paced startup environment.
Salary Range: $150,000 - $250,000 / year
Skills Required
- BS or MS in Computer Science, Electrical Engineering, or related field
- 5+ years of experience in embedded system development
- Expertise in embedded software development for microcontroller-based platforms
- Proficiency in C and C++ for embedded systems
- Experience with RTOS and device drivers
- Experience with firmware architectures for RTOS devices
- Debugging and profiling skills for low-level optimization
What We Do
TetraMem is developing cutting-edge analog computing solutions for AI applications, offering exceptional performance with ultra-low power consumption.
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