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Embedded Firmware Engineer Jobs

1,631 active opportunities · Updated for October 2026

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Explore current embedded firmware engineer jobs. Use filters to narrow by work mode, employment type, experience and date posted.

JT
Jobiba Technologies
📍 Sahibzada Ajit Singh Nagar
1mo ago

IoT Hardware Engineer Build the Future of Smart Connected Devices Join our growing team as an IoT Hardware Engineer and work on exciting IoT solutions that combine electronics, embedded systems, and smart technologies. We are looking for a passionate, hands-on engineer who enjoys designing, building, testing, and improving real-world connected devices. Key Responsibilities: Design, develop, and prototype IoT devices using ESP32 microcontrollers. Develop and integrate firmware, hardware components, and embedded systems. Select and evaluate sensors, actuators, communication modules, and electronic components for IoT applications. Participate in hardware design reviews and product improvement discussions. Assemble, test, and debug electronic prototypes for performance and reliability. Troubleshoot hardware and software issues using professional debugging techniques. Required Skills & Experience: ITI, Diploma in IT Hardware Engineering, Computer Engineering, Electronics, or related field (highly preferred). Strong experience in programming and working with microcontrollers, especially ESP32. Experience with embedded platforms such as ESP32, STM, and similar systems. Knowledge of sensor interfacing using I2C, SPI, UART, and other communication protocols. Excellent PCB soldering skills and experience building complex electronic prototypes. Strong understanding of electronics fundamentals including resistors, voltage levels, power management, and circuit design. Ability to use testing tools such as oscilloscopes and logic analyzers for debugging circuits. Preferred Skills: Experience with KiCad or other hardware design tools. Knowledge of low-power design techniques for battery-operated IoT devices. Understanding of power optimization and embedded system efficiency. Familiarity with Agile development methodologies. Who We’re Looking For: A creative and skilled IoT enthusiast who loves turning ideas into working hardware products. If you enjoy experimenting with e

O
OpenAI
📍 San Francisco• Full-time• $230K – $342K/yr
1mo ago

About the Team The Consumer Devices team at OpenAI builds end-to-end hardware and software systems that bring AI into the physical world. We work at the intersection of custom silicon, embedded systems, operating systems, and cloud services to deliver reliable, production-ready devices at scale. About the role We are looking for an Operating Systems Engineer to build and harden the OS foundations for OpenAI products. We are especially interested in experienced, passionate, and innovative operating systems developers who thrive on building foundational platform software and solving hard problems in security, privacy, performance, power, and reliability. You will work across the OS kernel, core OS services, security and privacy primitives, performance and power, and the frameworks that connect applications and UI to the system. This role emphasizes deep debugging and systems ownership from development through production. You will collaborate closely with embedded, firmware, hardware, application, and product engineering teams. Experience with hardware bring-up is a plus, but not required. What you will do Work on end-to-end OS capabilities spanning the OS kernel, userspace services, application frameworks, UI toolkits, and application-facing APIs. Develop, integrate, and maintain OS components, both kernel-bound and in userspace, including scheduling, memory management, filesystems, drivers, IPC/RPC mechanisms, and security-relevant subsystems. Build and maintain core OS services and daemons (init, service management, device discovery, networking primitives, time, logging, update hooks, crash handling, and so on). Design and implement security and privacy mechanisms: Secure boot and measured boot integration points (where applicable). Mandatory access control and sandboxing. Secrets management, secure storage, key handling, and least-privilege service design. Privacy-preserving telemetry, data minimization, and user-consent oriented system behaviors. Establish a perfo

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S
Stripe
📍 Taipei• Full-time
2mo ago

About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Stripe Terminal helps Stripe users extend their online presence into the physical world. The Terminal team’s mission is to make it as easy for businesses to accept in-person payments as the Stripe API has done for online payments. With Terminal, businesses can unlock in-person payments use cases that are right for their business model—whether it’s creating a flagship retail experience, extending their website to a pop-up store, or enabling a mobile point-of-sale at their next event. What we are looking for: As an Android BSP Engineer, you will be responsible for the kernel and driver level system development, which includes building, troubleshooting, and writing automated tests for the Android system on our embedded payments platforms. This team works closely with partner teams throughout the hardware and software product lifecycle, from hardware manufacturing to Android app teams. We also work with external vendors on part selection and initial hardware bring-up. What you’ll do: Bring up new devices and lead debugging and performance tuning exercises that span multiple hardware/firmware/software teams. Design, implement, and maintain drivers and Android services that operate efficiently in a constrained environment and meet the reliability and security requirements of the industry. Own the definition of one or more work streams focused on hardware bring-up, peripheral drivers and communication, and power and performance management and opti

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O
OpenAI
📍 San Francisco• Full-time• $207K – $365K/yr
4mo ago

About the Team The Release Engineer team is responsible for building and maintaining the systems that power software delivery—from CI/CD pipelines and artifact management to release automation and fleet telemetry. We ensure software across bootloaders, firmware, operating systems, and cloud services is built reproducibly, validated rigorously, and released safely at scale. About the Role As a Release Engineer, you’ll design, build, and operate release infrastructure that enables reliable, secure, and traceable software delivery across complex multi-component systems. You’ll partner closely with embedded, cloud, and QA teams to ensure that every build—from development to OTA deployment—is fast, verifiable, and production-ready. We’re looking for engineers who take pride in automation, build reproducibility, and system reliability—and who enjoy building the connective tissue that allows hardware and software to ship together seamlessly. This role is based in San Francisco, CA. We use a hybrid work model of four days in the office per week and offer relocation assistance to new employees. In this role, you will: Design and operate CI/CD pipelines for multi-component builds (bootloader, firmware, OS images, backend, companion apps) using hermetic toolchains. Define versioning and branching strategies; automate promotions, changelogs, and artifact retention. Integrate unit, integration, and hardware-in-the-loop (HIL) test results; quarantine flaky tests, auto-bisect failures, and block unsafe promotions. Build A/B OTA update flows with verity and health checks; run staged rollouts and canaries; implement safe rollback and roll-forward strategies. Implement code signing for binaries and firmware, generate SBOMs, run vulnerability scanning, and attach build attestations and provenance. Manage dashboards and alerts for build health, promotion latency, failure rates, and fleet update telemetry. You might thrive in this role if you: Have experience building and operating buil

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NVIDIA is searching for a highly motivated, creative engineer with experience in system and AI software to join the GPU System Software team. As someone who is hardworking and passionate about their work, you will design key aspects of our production GPU kernel drivers, embedded SW and SOC platforms. You should demonstrate the ability to excel in an environment with complex software and hardware designs. What you'll be doing: Define, design, develop and verify features for our new SoCs platforms, collaborating with hardware engineers and fellow software engineers. Follow the new SOC platforms all the way through the development process to the customer products that are used throughout the world. Be heavily involved with the early firmware, performance, power management, and all of system software required to produce our world-class products. Have multiple opportunities to collaborate and communicate effectively with teams across the globe. What we need to see: BS, MS or PhD degree in Computer Engineering, Computer Science, or related degree, or equivalent experience. Strong C programming, C++, low-level driver, SOC system platform experience , and AI software design, arch and optimization. Familiarity with computer system architecture, microprocessor, and microcontroller fundamentals. Kernel experience with Linux, Android, Chrome, or Windows systems. Experience with complex

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TA
Together AI
📍 San Francisco• $140K – $150K/yr
2 days ago

About the Role As a Hardware Security Engineer, you’ll contribute to building open, transparent, and secure AI systems. You’ll have the opportunity to work on projects that safeguard corporate assets by implementing and operating preventative and reactive security controls while collaborating with teams and stakeholders across the company. We’re looking for an intern that is interested in building AI-assisted security apps. Responsibilities Design, prototype, and implement security solutions for AI infrastructure across hardware, firmware, operating systems, and cloud services, including BMCs, TPMs, secure boot chains, networking interfaces, and workload identity systems. Assess and improve the security posture of server and accelerator platforms, including firmware update processes, device identity, trusted execution, and hardware-backed cryptography. Support the secure platform lifecycle, from device onboarding, provisioning, and inventory through configuration validation and decommissioning. Build automation and internal tools in Python, Bash, or similar languages to collect platform telemetry, detect configuration drift, and support incident investigation. Build AI-assisted security applications for asset classification, anomaly detection, and detection-and-response workflows. Partner with IT and infrastructure teams to implement and enforce identity, access-control, endpoint, and privileged-access security practices. Research and evaluate emerging technologies such as confidential computing, remote attestation, hardware roots of trust, and secure device management. Write clean, well-documented code, technical designs, test plans, and security findings. Requirements Actively pursuing a degree in Electrical Engineering, Computer Science, Software Engineering, or a related field expected by Summer 2027 Foundational understanding of computer architecture, operating systems, networking, embedded systems, digital logic, or electronics Strong programming skills

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TA
2 days ago

About the Role As a Hardware Security Engineer Intern, you’ll contribute to building open, transparent, and secure AI systems. You’ll have the opportunity to work on projects that safeguard corporate assets by implementing and operating preventative and reactive security controls while collaborating with teams and stakeholders across the company. We’re looking for an intern that is interested in building AI-assisted security apps. Responsibilities Help design, prototype, and assess security solutions for AI infrastructure across hardware, firmware, operating systems, and cloud services, working with components like BMCs, TPMs, secure boot chains, and device and workload identity systems. Support secure platform lifecycle work such as device onboarding, provisioning, inventory, and configuration validation. Build automation and internal tools in Python, Bash, or similar languages to collect platform telemetry, detect configuration drift, or support incident investigations. Prototype AI-assisted security tools for tasks like asset classification, anomaly detection, or detection-and-response workflows. Research an emerging area such as confidential computing, remote attestation, or hardware roots of trust, and share your findings with the team. Own a well-scoped project from start to finish with mentorship from experienced engineers, delivering clean, well-documented code and presenting your results at the end of the internship. Requirements Bachelor’s degree (or equivalent) in Electrical Engineering, Computer Science, Software Engineering, or a related field, earned or expected by Summer 2028 Foundational understanding of computer architecture, operating systems, networking, embedded systems, digital logic, or electronics Strong programming skills with a proficiency in Python or bash Exposure to building AI-assisted applications Preferred Qualifications Prior security engineering experience through internships, hackathons, or projects Coursework, projects, resea

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B
Boeing
📍 Mesa• $91.8K – $124.2K/yr
3 days ago

Comms & Sensor Systems Engineer/Scientist Company: The Boeing Company Boeing Defense, Space and Security (BDS), Phantom Works is seeking a Comms & Sensor Systems Engineer/Scientist to join the Phantom Works Special Technology Integration team in Mesa, AZ . The successful candidate should have a working knowledge of electromagnetic systems, components, and applied physics; have significant knowledge and experience with implementing real-time embedded hardware, firmware, and software; have strong analytical skills, knowledge, and proficiency with physical modeling and simulation tools; and knowledge of advanced math and system modeling principles as applied to aerospace and electrophysical analysis. Position Responsibilities: Interpret highly dynamic or uncertain requirements to develop flexible embedded hardware and software systems within aggressive program schedules and budgets Remain application and product focused while simultaneously executing multiple technical aspects of vertically integrated designs Balance systems/software engineering best practices with cost, schedule, and system performance requirements Apply systems-level thinking and agile design practices to advance embedded system architectures Perform control system logic/algorithm, hardware, and software development tasks Provide end-to-end systems integration, test, and field support Work under experienced electrophysics engineer/scientists, software, and hardware engineers in a fast-paced, dynamic environment Take ownership of tasking from start to finish and demonstrate consistent initiative with ambiguous or unclear assignments Mainta

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SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: We are seeking a hands-on Infrastructure Security Engineer to build and secure SpaceXSI's infrastructure from the bare-metal layer up through the platform and application stack. In this role, you will design, implement, and harden physical and private-cloud foundations—servers, networks, identity, and orchestration—and carry that security posture into containers, automation, and hybrid connectivity with public cloud. This role focuses on securing critical infrastructure spanning data centers, colo, and hybrid environments, with work that may span platforms such as SpaceXSI, X Social, X Money, and related systems. You’ll operate with an automation-first mindset: building secure foundations at the metal and OS layer, hardening platforms at scale, and partnering closely with engineering so security is embedded in how we build and run systems—not bolted on after the fact. RESPONSIBILITIES: Bare metal, data center & network security Design and implement secure bare-metal and private-cloud architectures (servers, storage, out-of-band management, BIOS/UEFI/BMC firmware posture) Harden physical and virtual fleets: OS baselines (Linux/Windows), CIS benchmarks, patch a

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N
12 days ago

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, we are tapping into the unlimited potential of AI to define the next era of computing. As an NVIDIAN, you will address challenges spanning architecture, silicon, firmware, software, and production — and excellent judgment matters as much as technical depth! We are the Silicon Power Team within the Silicon Co-Design Group. We architect and deliver groundbreaking solutions for productizing NVIDIA's chips across consumer, professional, server, embedded, mobile, and automotive markets. Silicon characterization, correlation to arch and design expectations, product spec finalization, and productization techniques and infrastructure are our day-to-day work — always on the bleeding edge of the industry. Small decisions here have outsized impact on performance, efficiency, reliability, bring-up speed, and ultimately what the product delivers in the field. We are hiring a Senior Silicon Power Engineer to own power-feature productization on a flagship silicon program. This is not a coordination role, and it is not a compliance role — it is the seat where power features either work at scale or become the reason a program slips. The two highest-leverage problems in this seat: Close the hardest multi-functional power failures before they gate a program. Take ambiguous, cross-boundary issues across architecture, firmware, validation, and platform to root-cause closure — with productized fixes and reusable methodology the next program can inherit. Build AI-enabled characterization as a real capability, not a demo. Every bring-up generates terabytes of characterization, shmoo, and telemetry data. Deploy AI workflows for data analysis, metric extraction, trend detection, and cross-bring-up correlation — with the guardrails and validation discipline to make them trustworthy enough to gate production decisions! <

About the job Build the test systems that prove advanced AI hardware is ready before it reaches production. As a Test Development Engineer, you will create and maintain test systems for Graphcore’s electronic hardware platforms. Your work will support preproduction test solutions across system and board-level products. You will define test methods, specify equipment and automate systems for complex hardware. This includes high-speed serial links, high-current power supplies, slower protocols and low-level PCBA debug. This role sits close to real engineering problems. You will build deep product knowledge, improve test coverage and help transfer robust solutions into production. The team and culture You will join the Hardware Test team, embedded within Graphcore’s wider Hardware Engineering group. The team works closely with SI, mechanical, layout, package, silicon, firmware and production teams. Work moves through practical test design, lab debug, automation and clear data. You will be trusted to take ownership and develop solutions that meet real hardware needs. The team values proactive communication across Graphcore and third-party support teams. Decisions are shaped by evidence, standards knowledge and the quality of the test data. What we’re looking for · Experience developing and automating test systems for complex electronic systems · Knowledge of Ethernet and/or PCIe testing, including high-speed hardware debug · Fluency in test scripting languages, including Python and LabView · Ability to plan test work, improve coverage and communicate progress clearly · Hands-on experience with lab equipment such as oscilloscopes, BERTs and VNAs · Strong ownership, teamwork and communication skills across technical teams While we have outlined a set of requirements, we value transferable skills and diverse experiences. If you meet most of our essential criteria, we encourage you to submit an application and showcase how your background makes you a strong candidate. Benef

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DU
DoorDash USA
📍 United States• $137.4K – $202K/yr
24 days ago

About the Team DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last mile logistics in the long term. If you have a passion for applying robotics solutions in a service used by millions of people, then we want to talk to you! About the Role We are hiring an Autonomy Platform Engineer to build and evolve the foundational software that runs our autonomy stack across robot and compute platforms. The Autonomy Platform team works across embedded Linux, compute and sensor enablement, robotics middleware, process orchestration, data capture and replay, system observability, and performance. You will develop production software and tooling that enables autonomy engineers to bring up new hardware, deploy services reliably, diagnose failures, and validate system performance across robot generations. You will work closely with autonomy, firmware, electrical, hardware, manufacturing, and validation engineers and report to the Autonomy Platform Lead. We expect this role to be hybrid with some time in-office and some time remote. You’re excited about this opportunity because you will… Build and maintain core runtime, middleware, and platform services used by autonomy applications. Enable new compute, camera, lidar, and other sensor platforms. Improve process orchestration, messaging, configuration, startup and shutdown behavior, resource isolation, and fault recovery. Develop system observability, tracing, performance measurement, diagnostics, and regression-detection capabilities. Build reliable data capture, replay, and debugging workflows. Create provisioning, packaging, deployment, integration-test, and platform-readiness tooling. Lead complex debugging across application, middleware, OS, driver, networking, timing, and hardware boundaries. We’re excited about you because… Strong production C++ and Python experience. Experience with embedded Linux, robotics, autonomous vehicles, or complex mechatronic systems. Solid u

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Mach Industries
📍 Huntington Beach• $130K – $135K/yr
1mo ago

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role Mach Industries is seeking a New Graduate Software Engineer to develop software for next-generation autonomous defense systems. Depending on your experience and interests, you may contribute to embedded software, firmware, flight software, autonomy, simulation, developer infrastructure, or mission applications. You will collaborate with engineers across avionics, GNC, systems, test, and hardware to build, integrate, and deploy reliable software on real-world platforms. This role is ideal for a hands-on engineer who enjoys solving challenging technical problems, learning across disciplines, and taking ownership of software from initial development through testing and deployment. Key Responsibilities Develop, test, and maintain software for autonomous aircraft, missiles, propulsion systems, and related defense platforms. Write clean, efficient, and well-tested code in C, C++, Rust, Python, or similar languages. Contribute to one or more technical areas, including embedded software, firmware, flight software, autonomy, simulation, mission applications, and developer infrastructure. Collaborate with avionics, GNC, systems, test, and mechanical engineers to support hardware-software integration. Build tools, automated tests, and simulation environmen

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M
1mo ago

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Location Micron Singapore Bendemeer (MSB), Singapore Department Storage Technology Product Group, Product Engineering Firmware Project Title AI-Enabled Manufacturing Firmware Development and SSD Failure Analysis Project Description The intern will undertake an engineering project focused on Manufacturing Test Firmware development for Solid-State Drive test and validation environments. Under engineer guidance, the intern will develop firmware features, evaluate test coverage, and apply Artificial Intelligence tools to code generation, validation, log analysis, and failure investigation. The project will also provide exposure to firmware development, embedded systems, manufacturing data, and AI-Enabled engineering workflows. Objective of the Project Develop Manufacturing Test Firmware for a defined Solid-State Drive test use case. Improve firmware validation, test coverage, or test efficiency. Apply AI-assisted tools to code development and software verification. Evaluate an Agentic AI solution for log analysis, failure triage, or root-cause investigation. Opportunities for Full Time Employment Interns may be c

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About the job Build the test systems that prove advanced AI hardware is ready before it reaches production. As a Test Development Engineer, you will create and maintain test systems for Graphcore’s electronic hardware platforms. Your work will support preproduction test solutions across system and board-level products. You will define test methods, specify equipment and automate systems for complex hardware. This includes high-speed serial links, high-current power supplies, slower protocols and low-level PCBA debug. This role sits close to real engineering problems. You will build deep product knowledge, improve test coverage and help transfer robust solutions into production. The team and culture You will join the Hardware Test team, embedded within Graphcore’s wider Hardware Engineering group. The team works closely with SI, mechanical, layout, package, silicon, firmware and production teams. Work moves through practical test design, lab debug, automation and clear data. You will be trusted to take ownership and develop solutions that meet real hardware needs. The team values proactive communication across Graphcore and third-party support teams. Decisions are shaped by evidence, standards knowledge and the quality of the test data. What we’re looking for · Experience developing and automating test systems for complex electronic systems · Knowledge of Ethernet and/or PCIe testing, including high-speed hardware debug · Fluency in test scripting languages, including Python and LabView · Ability to plan test work, improve coverage and communicate progress clearly · Hands-on experience with lab equipment such as oscilloscopes, BERTs and VNAs · Strong ownership, teamwork and communication skills across technical teams While we have outlined a set of requirements, we value transferable skills and diverse experiences. If you meet most of our essential criteria, we encourage you to submit an application and showcase how your background makes you a strong candidate. Benef

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