Embedded Systems Engineer - FPGA Expert

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .

Position: Software & Firmware Engineering Experts
Type: Contract
Compensation: $100–$120/hour
Location: Remote
Role Responsibilities

- Apply hands-on expertise in software , firmware , and digital hardware to complex engineering tasks involving real physical systems.

- Review and evaluate embedded firmware , FPGA/RTL designs , flight software , test automation frameworks , and hardware interfaces .

- Analyze architecture and implementation trade-offs involving real-time performance , timing , memory , and hardware/software integration .

- Assess technical correctness, robustness, and feasibility of solutions for embedded and hardware-connected systems.

- Identify implementation errors, race conditions, interface failures, and other system-level failure modes.

- Develop or review engineering problems, reference implementations, test cases, and technical documentation.

Qualifications

Must-Have

- 5+ years of professional experience in software , firmware , FPGA , or embedded systems engineering .

- At least 3 years of recent hands-on experience with real hardware.

- Experience as the responsible engineer for production hardware-connected software or firmware.

- Deep expertise in embedded firmware , FPGA/RTL design , flight software , or hardware test automation .

- Strong command of technologies like C/C++ , Python , RTOS , embedded Linux , and FPGA toolchains .

- Extensive experience debugging software-hardware interactions using tools like JTAG/SWD debuggers and oscilloscopes .

- Proven experience in real-world product or hardware manufacturing environments.

Preferred

- Experience with companies designing, building, and manufacturing physical hardware or embedded systems.

- Relevant organizations include Lockheed Martin , Blue Origin , Tesla , NVIDIA , Apple , Skydio , Siemens , and Medtronic .

Application Process (Takes 20–30 mins to complete)

- Upload resume

- AI interview based on your resume

- Submit form

Resources & Support

- For details about the interview process and platform information, please check:

- For any help or support, reach out to:

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Originally posted on Himalayas