Embedded Systems Engineer - FPGA Expert - AI Trainer

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

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