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# Software Engineer, Embedded Systems

- **Company:** The Meta Game, Inc.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $183,997.0 - $257,000.0
- **Contract:** Permanent contract
- **Skills:** Abstraction Layers, Artificial Intelligence, Android Software Development, Automation of Tests, Booting (BIOS), C++ (Programming Language), Static Program Analysis, Code Coverage, Software Code Optimization, Software Quality, Code Review, Computer Engineering, Continuous Integration, Software Debugging, Linux, Device Drivers, Embedded Software, Firmware, FreeRTOS, Hardware-In-The-Loop Simulation, Joint Test Action (IEEE Standards), Systems Development Life Cycle, Real-Time Operating Systems, Software Engineering, Universal Asynchronous Receiver/Transmitter, USB, Data Logging, Serial Peripheral Interface, Multi-Agent Systems, Prompt Engineering, Peripherals, Technical Debt, AI Coding Agents, Information Technology, Programming Languages
- **Published:** October 10, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=a06100a2130f7a2f

## About the Role

* Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
 * 8+ years of experience in embedded software engineering, including development in C or C++ for resource-constrained systems
 * Experience developing and debugging software across multiple embedded platforms, including RTOS environments and Linux or AOSP on application processors
 * Experience writing device drivers or hardware abstraction layers for peripherals such as sensors, power management ICs, displays, or communication buses (I2C, SPI, UART, USB)
 * Experience building telemetry, logging, or monitoring infrastructure to track embedded system health and diagnose production issues at scale
 * Experience developing automated test infrastructure for embedded systems, including hardware-in-the-loop testing, on-device automation, or CI pipelines targeting embedded targets
 * Experience debugging complex cross-layer embedded issues using tools such as JTAG debuggers, logic analyzers, oscilloscopes, or static analysis tools, * Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
 * Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
 * Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
 * Experience working with AI coding assistants and evaluating their output for correctness, safety, and adherence to embedded development standards
 * Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
 * Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
 * kernel internals (Android or Linux or RTOS), plus device driver development across common subsystems
 * Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
 * Experience collaborating with silicon or chipset vendors on firmware bring-up, reference design adaptation, and hardware errata mitigation
 * Experience in leveraging AI tools to accelerate embedded development workflows, automate diagnostics, or improve code quality and test coverage

## Description

* Collaborate with cross-functional teams (product, design, operations, infrastructure) to help Meta's AI model build platforms for Android, Linux & RTOSes (Zephyr, FreeRTOS)
 * Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
 * Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
 * Architect efficient and scalable systems that drive complex applications
 * Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
 * Work on a variety of coding languages and technologies
 * Establish ownership of components, features, or systems with expert end-to-end understanding