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Entry Level Embedded Engineer Jobs (NOW HIRING)

Parsons

Software Engineer TS

Centreville, VA · On-site

$63K - $111K/yr

Are you ready to launch your career as a TS/SCI Software or Embedded Engineer/Developer ? Parsons is seeking an entry-level engineer with a Top Secret clearance to join our agile, tight-knit ...

Parsons Corporation

Software Engineer TS

Centreville, VA · On-site

$63K - $111K/yr

Are you ready to launch your career as a TS/SCI Software or Embedded Engineer/Developer ? Parsons is seeking an entry-level engineer with a Top Secret clearance to join our agile, tight-knit ...

Muon Space

Software Engineer, Entry-Level

San Jose, CA

$142K - $169K/yr

About the role Software Engineers at Muon work on embedded software on satellites and test ... Entry-level software engineers are expected to bring significant skills and training, and then to ...

RFA Engineering

Entry Level Software Engineer

Dubuque, IA · On-site

$65K - $90K/yr

... Entry Level Software Engineer This position is associated with the design and development of ... Development of embedded software applications that control vehicle operation using C, C++, or ...

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Entry Level Embedded Engineer information

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How much do entry level embedded engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for entry level embedded engineer in the United States is $137,274.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $163,500.00 per year, depending on experience, location, and employer.

What does an entry level embedded engineer do?

An Entry Level Embedded Engineer helps design, develop, and test software that runs on embedded systems, such as microcontrollers or other specialized hardware. Their work often involves coding in languages like C or C++ to create firmware that controls devices ranging from household electronics to automotive systems. They also assist with debugging, troubleshooting, and sometimes hardware integration under the guidance of more experienced engineers. This role provides foundational experience in both software and hardware aspects of embedded systems.

What are the key skills and qualifications needed to thrive as an entry level embedded engineer?

To thrive as an Entry Level Embedded Engineer, you need a solid understanding of C/C++ programming, embedded systems concepts, and a degree in electrical engineering, computer engineering, or a related field. Familiarity with microcontrollers, real-time operating systems (RTOS), hardware debugging tools, and version control systems like Git is typically required. Strong problem-solving skills, attention to detail, and effective communication make candidates stand out in this role. These skills and qualities are crucial for developing reliable embedded solutions, troubleshooting hardware-software interactions, and collaborating with cross-functional engineering teams.

What are some common challenges faced by entry level embedded engineers when transitioning from academic projects to real-world products?

Entry level embedded engineers often find that real-world projects involve stricter requirements for reliability, safety, and maintainability compared to academic assignments. They may need to quickly adapt to working with legacy code, constrained hardware resources, and industry-standard development tools. Additionally, collaborating with multidisciplinary teams—such as hardware designers, firmware developers, and QA engineers—requires strong communication and documentation skills. Understanding version control systems and participating in code reviews are also common aspects of the work environment.
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Entry Level Embedded Engineer jobs near you
Infographic showing various Entry Level Embedded Engineer job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 50% In-person, and 50% Hybrid job distribution, with an average salary of $137,274 per year, or $66 per hour.

Embedded Systems Engineer, Robotics Hardware

FieldAI

Irvine, CA • On-site

Full-time

Re-posted 26 days ago

Job description

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.

Hardware Team:
The Hardware Team at Field AI develops perception and compute payloads that power autonomous robotics systems in complex real-world environments. Our work spans the full hardware stack designing and integrating sensing systems (LiDAR, camera, TOF, IMU, GPS), embedded compute (CPUs, GPUs, microcontrollers, Linux, ROS), electrical systems (power distribution, communication), and mechanical components (structures, thermal regulation, ingress protection). The team focuses on both development (research, design, prototyping, testing) and operations (production, testing, QA, debugging). We're a small, fast-moving team, and we care deeply about improving: 1) core capabilities, 2) system reliability, 3) system scalability. As a growing team we are also building operational systems and procedures from the ground up.
 
Embedded Compute Role:
As an Embedded Compute Engineer on the Hardware Team at Field AI, you will contribute to the architecture, configuration, and validation of the compute systems that serve as the backbone for our robotic platforms. Your work will span low-level firmware, Linux-based configuration, and system performance analysis across ARM and x86 SBC platforms. From firmware on microcontrollers to ROS data streams on SBCs, you'll ensure the entire compute stack is optimized, reliable, and robust under field conditions. You will collaborate closely with the sensor, electrical, and autonomy teams to build tightly integrated solutions ready for deployment in challenging field environments. Additionally, while your focus will be on computing systems you will likely contribute across all hardware domains.
 
What You Will Get To Do
 
1. Compute System Design
  • Compute Architecture: Architect and configure embedded compute platforms (ARM/x86, SBCs) for robotic applications including evaluation, testing and selection.
  • Firmware & Software: Set up and customize Linux environments (Ubuntu, Yocto, JetPack), middleware (ROS), and I/O interfaces.
  • Systems Integration: Integrate compute with sensing and robotic systems. Analyze thermal, power, and bandwidth constraints to meet deployment and runtime requirements.
 
2. Compute System Implementation
  • Communications: Bring up sensors and peripherals using a range of protocols (USB, Ethernet, GMSL, IC, SPI, CAN).
  • Data Pipelines: Build and maintain drivers, ROS nodes, and data acquisition pipelines for new hardware components.
  • Systems Configuration: Create configuration files, launch scripts, and firmware update workflows.
  • Testing: Conduct system-level tests such as thermal profiling, latency measurement, and power draw analysis.
  • Documentation & Budgets: Maintain flashing procedures, I/O maps, and debug kits. Manage compute and I/O budgets.
 
3. Compute System Production & Servicing
  • Build: Work with vendors to procure compute hardware. Develop QA checks for incoming units. Support payload integration and scaling.
  • Debug: Support root-cause analysis for boot, connectivity, and throughput issues.
  • Diagnostics Monitoring: Implement watchdogs, health checks, and other evaluation tools.  Monitor compute system performance across CPU, GPU, memory, I/O, and networking.
 
What You Have
 
  • Education: B.S., M.S., or Ph.D. in Computer Engineering, Robotics, Electrical Engineering, or a related field.
  • Experience Level: We are recruiting across a wide range of experience levels from entry level engineers to senior and staff engineers.
  • Embedded Systems: Experience with embedded platforms (Jetson, Raspberry Pi, x86 NUCs, custom SBCs).
  • Linux: Proficiency with Linux system configuration, scripting, and headless deployment tools.
  • Firmware: Strong skills in firmware development for microcontrollers, including bare-metal and RTOS environments.
  • Programming: Proficient in C++ and Python for embedded and application-level development.
  • Communication Protocols: Experience with USB, Ethernet, IC, SPI, CAN, GMSL, and similar interfaces.
  • ROS Ecosystem: Familiarity with ROS, device drivers, TF, and data streaming/publishing.
  • Debugging: Comfort with hardware/software debugging tools (oscilloscopes, logs, power monitors, analyzers).
  • Systems Thinking: Ability to diagnose and optimize across compute, thermal, timing, and I/O layers.
 
What Will Set You Apart
 
  • Scaling: Experience taking systems from prototype to large scale production.
  • Field Environments: Experience developing systems for harsh field environments.
  • Deployed Robotics: Experience working on robotics deployed in real world settings such as autonomous vehicles, drones, or ruggedized robots.
  • Systems Level Robotics: Fluency across software, electrical, and mechanical systems.
  • Autonomy Software: Knowledge of autonomy stacks used in robotics. As well as how compute performance impacts autonomy algorithms.
$120,000 - $200,000 a year
Our salary range is generous and we consider each individual's background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market.
 
Why Join FieldAI in Irvine?
In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics' hardest challenges: reliable deployment outside the lab. Our Field Foundational Models raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use.
You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments.
 
Be Part of the Next Robotics Revolution
We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world.
 
Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like.
 
We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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