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Embedded Systems Engineer Entry Level Jobs (NOW HIRING)

Loadsmart

Senior Embedded Systems Engineer

OR · Remote

We are looking for an Embedded Systems Engineer to join our SmartGate team. SmartGate is Loadsmart's Physical AI platform for warehouses and distribution centers -- computer vision systems deployed ...

Loadsmart

Senior Embedded Systems Engineer

Chicago, IL · On-site +1

We are looking for an Embedded Systems Engineer to join our SmartGate team. SmartGate is Loadsmart's Physical AI platform for warehouses and distribution centers - computer vision systems deployed at ...

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Embedded Systems Engineer Entry Level information

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

As of Jun 9, 2026, the average yearly pay for embedded systems engineer entry level 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 types of projects and responsibilities can an entry-level Embedded Systems Engineer expect during their first year on the job?

As an entry-level Embedded Systems Engineer, you will typically work on tasks such as writing and debugging firmware, assisting with hardware integration, and running tests on embedded devices. You may also help with documentation, participate in code reviews, and support senior engineers with troubleshooting and prototyping. Most teams operate in a collaborative environment, so you can expect to interact closely with software, hardware, and QA engineers, which is a great opportunity to build your technical skills and learn industry best practices. Over time, you'll likely be given more independent project work and opportunities to contribute to design discussions as you gain experience.

What does an Embedded Systems Engineer Entry Level do?

An Embedded Systems Engineer at the entry level is responsible for assisting in the design, development, and testing of embedded systems, which are specialized computing systems that perform dedicated functions within larger devices. Typical tasks include writing and debugging software for microcontrollers or processors, working with hardware components, and collaborating with senior engineers to implement and optimize system performance. Entry-level engineers often help with troubleshooting, documentation, and learning industry-standard tools and protocols. This role is common in industries such as automotive, consumer electronics, medical devices, and telecommunications.

What are the key skills and qualifications needed to thrive as an Entry-Level Embedded Systems Engineer, and why are they important?

To thrive as an Entry-Level Embedded Systems Engineer, you need a solid understanding of C/C++ programming, microcontroller architectures, and basic electronics, usually backed by a bachelor's degree in electrical engineering, computer engineering, or a related field. Familiarity with tools such as oscilloscopes, debuggers, integrated development environments (IDEs) like Keil or Eclipse, and version control systems like Git is typical. Strong problem-solving skills, attention to detail, and effective teamwork help you excel in this collaborative and detail-oriented environment. These competencies are crucial for developing reliable embedded solutions that meet technical requirements and project deadlines.

What Does an Entry-Level Embedded Systems Engineer Do?

As an entry-level embedded systems engineer, you carry out your duties under the supervision of an experienced embedded systems engineer to learn the necessary responsibilities and skills for the job. Entry-level embedded systems jobs include tasks that focus on hardware and software design and the components that go along with them. You design, troubleshoot, and test hardware and software, electronic circuits, mechanical equipment and machines, and other systems related to computers and computer equipment. Entry-level embedded systems engineer roles are usually for recent or soon-to-be graduates of a bachelor’s degree program in computer science, computer engineering, or a similar field.

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Embedded Systems Engineer Entry Level jobs near you

Embedded Systems Engineer, Robotics Hardware

FieldAI

Irvine, CA • On-site

Full-time

Posted yesterday

Job description

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.

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.
$70,000 - $300,000 a year
Compensation and Benefits
Our salary range is between ($70,000 - $300,000 annual), but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience.  Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

Why Join Field AI?
We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.

You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.

Be Part of the Next Robotics Revolution
To tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.

We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. 

Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!



We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, 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. 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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