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Entry Level Ai Robotics Jobs (NOW HIRING)

FieldAI

Mechanical Engineer, Robotics Hardware

Irvine, CA · On-site

$70K - $300K/yr

Field AI is transforming how robots interact with the real world. We are building risk-aware ... Experience Level: We are recruiting across a wide range of experience levels from entry level ...

FieldAI

Mechanical Engineer, Robotics Hardware

Irvine, CA · On-site

$70K - $300K/yr

Field AI is transforming how robots interact with the real world. We are building risk-aware ... Experience Level: We are recruiting across a wide range of experience levels from entry level ...

Generalist AI, Inc

Research Assistant

San Mateo, CA · On-site

$150K - $200K/yr

The company embraces both large-scale AI and robotics as core to its DNA. Our team of researchers ... This is an entry-level research role for individuals with less than 3 years of research experience ...

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How much do entry level ai robotics jobs pay per year?

As of Sep 13, 2026, the average yearly pay for entry level ai robotics in the United States is $96,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $102,000.00 per year, depending on experience, location, and employer.

What is an entry level AI robotics job?

Entry level AI robotics jobs are positions designed for individuals who are new to the field of artificial intelligence and robotics, often recent graduates or those transitioning from related areas. These roles typically involve assisting in the design, programming, testing, and maintenance of robotic systems that use AI algorithms. Common job titles include Robotics Engineer (Junior), AI Research Assistant, and Robotics Technician. Responsibilities may include data collection, basic coding, testing prototypes, and supporting senior engineers in developing intelligent robotic solutions.

What are the key skills and qualifications needed to thrive as an entry level AI robotics professional?

To thrive as an Entry Level AI Robotics professional, you need a solid grounding in computer science, robotics engineering, and basic programming languages such as Python or C++, usually backed by a relevant bachelor’s degree. Familiarity with robotics platforms (like ROS), machine learning frameworks (such as TensorFlow), and simulation tools is typically expected. Strong problem-solving abilities, teamwork, and effective communication set standout candidates apart. These skills and qualifications are vital for developing, testing, and improving intelligent robotic systems in collaborative and fast-evolving technology environments.

What are some common challenges faced by entry level AI robotics professionals during their first year on the job?

Entry-level AI robotics professionals often encounter challenges such as adapting to complex, multidisciplinary projects that blend software, hardware, and AI algorithms. They may also need to quickly learn new programming languages and frameworks specific to robotics, as well as familiarize themselves with real-time debugging and hardware integration. Effective communication and collaboration with cross-functional teams, including mechanical engineers and data scientists, is essential for success. Additionally, transitioning from academic or theoretical knowledge to practical, real-world applications can require a steep learning curve, but most organizations offer mentorship and structured onboarding to support new team members.

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What are the most commonly searched types of Ai Robotics jobs?

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Entry Level Ai Robotics jobs near you
Infographic showing various Entry Level Ai Robotics job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $96,000 per year, or $46.2 per hour.

Electrical Engineer, Robotics Hardware

Irvine, CA • On-site

FieldAI
201 - 500 employees
Learn more about FieldAIexternal

Full-time

Re-posted 7 days ago

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.
 
Electrical Systems Role:
As an Electrical Engineer on the Hardware Team at Field AI, you will contribute to the design and implementation of electrical systems that enable power and communications across the sense and compute packages. Your work will span across power systems, wire harnesses, PCB design, and communications networks with the goal of ensuring our systems are electrically robust, safe, and scalable. Responsibilities may span the full lifecycle from electrical CAD through production to field support. You will collaborate closely with the mechanical, sensor, and compute teams to build tightly integrated solutions ready for deployment in challenging field environments. Additionally, while your focus will be on electrical systems you will likely contribute across all hardware domains.
 
What You Will Get To Do
 
1. Electrical System Design
  • Power Architecture: Design regulated power systems including voltage rails, DC/DC converters, switches, fuses, and grounding schemes.
  • Wire Harness Design: Design and document robust wire harnesses for power and data lines, including shielding, strain relief, and standard connectors.
  • PCB Design: Create PCBs for power distribution, protocol bridging, and embedded control.
  • Networking & Communication: Architect wired and wireless communication systems (Ethernet, USB, CAN, I2C, WiFi, 5G).
  • Budgets & Tolerances: Maintain system-level power and bandwidth budgets. Ensure electrical tolerance to noise, EMI, and vibration.
 
2. Electrical System Implementation
  • CAD & Schematics: Create PCB schematics, harness diagrams, pinouts, and complete PCB BOMs using tools like KiCAD or Altium.
  • Calculations: Conduct electrical calculations including current draw, peak power, signal integrity, and fault analysis.
  • Design for Field Conditions: Engineer for EMI/EMC robustness, thermal resilience, and fault isolation under field operating conditions.
  • Testing: Conduct power validation (noise, load, transients), communication tests (bandwidth, latency), and EMI evaluation.
  • Integration: Collaborate with sensor, compute, and mechanical teams to ensure end-to-end system compatibility and robustness.
  • Documentation & Budgets: Maintain PCB schematics and systems level wiring diagrams. Manage system-level power and data bandwidth budgets.
 
3. Electrical System Production & Servicing
  • Build: Work with vendors and contract manufacturers to procure PCBs and harnesses. Develop QA checks for incoming units.
  • Debug: Investigate system faults using logs, oscilloscopes, analyzers, and power monitors.
  • Support: Provide hands-on support during integration, deployment, and servicing in the field.
 
What You Have
 
  • Education: B.S., M.S., or Ph.D. in Electrical Engineering, Computer Engineering, Robotics, 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.
  • Power Systems: Experience designing and testing low-voltage regulated power systems.
  • Harnessing: Hands-on design and integration of custom wire harnesses for robotics or automotive-style systems.
  • PCB Design: Proficiency in PCB schematic and layout using KiCAD, Altium, or equivalent tools.
  • Communication Protocols: Familiarity with USB, Ethernet, CAN, I2C, GMSL, and wireless technologies.
  • Testing & Debugging: Skills using electrical test tools including oscilloscopes, power analyzers, and EMI/EMC setups.
  • Documentation: Ability to produce detailed electrical documentation for design, manufacturing, and servicing.
  • Systems Thinking: Experience working across mechanical, compute, and autonomy teams to deliver robust integrated systems.
  • Cross Functional Robotic Skills: Ability to contribute electrical, sensing, and embedded computing work to deliver robust integrated systems.
 
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 electrical, mechanical, and software systems.
  • Reliability Engineering: Background in fault protection, EMI/EMC compliance, and safety-critical design.
$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 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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