Embedded Systems and Firmware Engineer, AI Expert

Weekday (YC W21)

. Collaborate with AI research and engineering teams to identify technical knowledge gaps and improve model performance across embedded systems, firmware, kernel engineering, device drivers, and hardware design .

Posted 11/12/2026part-timeRemote • United StatesMid-LevelSenior💰 $100 - $150 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in embedded systems, firmware development, and operating system kernel engineering, with a strong focus on C/C++ programming and Linux kernel internals. Capable of evaluating AI-generated solutions for technical correctness and providing structured feedback while collaborating with cross-functional teams.

Highest-signal resume keywords

Embedded Systems DevelopmentC/C++ ProgrammingLinux Kernel DevelopmentReal-Time Operating SystemsHardware Verification

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Embedded SystemsFirmware DevelopmentOperating System Kernel EngineeringC ProgrammingC++ ProgrammingLinux Kernel InternalsDevice DriversMemory ManagementConcurrencyDigital Logic Design

Soft Skills

Written CommunicationTechnical Explanation

Tools & Technologies

RTOSVerilogSystemVerilogVHDLUVM

Industry Keywords

SemiconductorsConsumer DevicesAutomotiveAerospaceHardware Technology

Tech Stack

Tools & technologies

LinuxRTOSC++

About the role

Key responsibilities & impact

Collaborate with AI research and engineering teams to identify technical knowledge gaps and improve model performance across embedded systems, firmware, kernel engineering, device drivers, and hardware design
Design domain-specific engineering tasks and develop accurate reference solutions covering low-level programming and systems engineering concepts
Evaluate AI-generated solutions for technical correctness, efficiency, reliability, and practical feasibility
Provide clear and structured written feedback on AI-generated technical responses
Develop and assess tasks involving memory management, concurrency, synchronization, device drivers, RTOS behavior, and hardware description languages
Review solutions related to Linux kernel internals, firmware architecture, embedded software, and hardware design and verification
Create detailed evaluation rubrics for correctness, safety, performance, and reliability
Identify logical errors, implementation issues, performance bottlenecks, and safety concerns in AI-generated responses
Collaborate with subject-matter experts to maintain consistency, accuracy, and quality across AI training datasets

Requirements

What you’ll need

Minimum of 4 years of professional experience in embedded systems, firmware development, operating system kernel engineering, or chip design
Experience working at a recognized organization in semiconductors, operating systems, consumer devices, automotive, aerospace, or hardware technology
Strong proficiency in production-level C and/or C++ programming for resource-constrained or performance-critical systems
Hands-on experience in Linux kernel and device drivers, RTOS and firmware, or RTL design and verification
Linux kernel development, driver architecture, system calls, memory management, and low-level debugging
Real-time operating systems, embedded firmware development, hardware-software integration, and device-level programming
Verilog, SystemVerilog, VHDL, UVM, digital logic design, and hardware verification
Strong understanding of operating system internals, computer architecture, memory management, concurrency, and low-level system behavior
Demonstrable career progression and ownership of complex engineering responsibilities
Excellent written communication skills and ability to explain complex technical concepts clearly
Ability to commit reliably to at least 20 hours per week during weekdays
Applicants must be based in the United States
H-1B and STEM OPT candidates cannot be supported for this opportunity

Benefits

Comp & perks

Flexible schedule
Fully remote work within the United States
Weekly payments through Stripe or Wise
Engagements may be extended, shortened, or concluded early depending on project requirements and performance
No requirement to access confidential or proprietary information belonging to any current or former employer, client, or institution
Reasonable accommodations available to qualified applicants upon request