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Entry Level Robotics Engineer Jobs in Riverside, CA

We are looking for a Robotics QA/QC Engineer to own hands-on validation and testing of robotic ... entry-level candidates with relevant experience or projects) * Comfort working with physical ...

Robotics QA / QC Engineer

Irvine, CA · On-site

$30 - $45/hr

We are looking for a Robotics QA/QC Engineer to own hands-on validation and testing of robotic ... entry-level candidates with relevant experience or projects) > * Comfort working with physical ...

We are looking for a Robotics QA/QC Engineer to own hands-on validation and testing of robotic ... entry-level candidates with relevant experience or projects) * Comfort working with physical ...

Entry Level Electrical Engineer At Salas O'Brien we tell our clients that we're engineered for ... robotics, and more. Our technical expertise is paired with an exceptional team of business ...

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 ...

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Entry Level Robotics Engineer information

See Riverside, CA salary details

$30.3K

$110.2K

$176.3K

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

As of Jun 1, 2026, the average yearly pay for entry level robotics engineer in Riverside, CA is $110,174.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,100.00 and $132,500.00 per year, depending on experience, location, and employer.

What Does an Entry Level Robotics Engineer Do?

An entry-level robotics engineer works with flexible automation, helping design, build, and test robot systems. The responsibilities of an entry-level robotics engineer are to integrate peripherals, such as controllers, welders, and other equipment; create event timing charts or system device lists; design end-of-arm tooling; investigate unexpected maintenance problems, such as mechanical or electrical failures; and evaluate and analyze robotic prototypes or systems. Other duties include researching robotic technology to use for the creation of new systems and system configuration.

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

To thrive as an Entry Level Robotics Engineer, you need a solid understanding of robotics fundamentals, programming (such as Python or C++), and a degree in robotics, mechanical, electrical, or computer engineering. Familiarity with CAD software, microcontrollers (like Arduino or Raspberry Pi), and robotics simulation tools (such as ROS or Gazebo) is typically required. Strong problem-solving, teamwork, and effective communication skills help you stand out in collaborative, project-driven environments. These skills and qualities are vital to efficiently design, implement, and troubleshoot robotic systems while contributing to innovative solutions.

What types of projects and technologies do entry level robotics engineers typically work on?

Entry level robotics engineers are often assigned to support the design, assembly, and testing of robotic systems, such as robotic arms, mobile robots, or automated manufacturing lines. They may work with technologies like sensors, actuators, microcontrollers, and programming languages such as Python or C++. Collaboration is common, as they frequently partner with mechanical, electrical, and software engineers to integrate components and troubleshoot issues. This hands-on experience helps new engineers build practical skills and gain exposure to industry-standard tools and processes.

How much do entry-level robotics engineers make in the US?

Entry-level robotics engineers in the US typically earn between $60,000 and $75,000 annually, depending on location, education, and industry. Starting salaries may be higher with relevant internships, certifications, or skills in programming languages like Python or C++ and experience with robotics frameworks such as ROS.

Is robotics a dead field?

Robotics is an active and growing field with ongoing advancements in automation, AI, and sensor technologies. Entry level robotics engineers are in demand in industries such as manufacturing, healthcare, and research, requiring skills in programming, mechanical design, and systems integration.

What is the difference between Entry Level Robotics Engineer vs Robotics Technician?

AspectEntry Level Robotics EngineerRobotics Technician
Required CredentialsBachelor's degree in robotics, mechanical, electrical engineering or related fieldAssociate's degree or technical certification in robotics or automation
Work EnvironmentDesign, develop, and test robotic systems; often in labs or engineering settingsMaintain, troubleshoot, and repair robotic systems; typically in manufacturing or industrial settings
Employer & Industry UsageEngineering firms, tech companies, research labsManufacturing plants, automation companies, industrial facilities

Entry Level Robotics Engineers focus on designing and developing robotic systems, requiring a bachelor's degree, while Robotics Technicians primarily handle maintenance and repairs, often with technical certifications. Both roles are essential in automation industries but differ in responsibilities and educational requirements.

What are the most commonly searched types of Robotics Engineer jobs in Riverside, CA? The most popular types of Robotics Engineer jobs in Riverside, CA are:
What are popular job titles related to Entry Level Robotics Engineer jobs in Riverside, CA? For Entry Level Robotics Engineer jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Entry Level Robotics Engineer jobs in Riverside, CA look for? The top searched job categories for Entry Level Robotics Engineer jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Entry Level Robotics Engineer jobs? Cities near Riverside, CA with the most Entry Level Robotics Engineer job openings:
Infographic showing various Entry Level Robotics Engineer job openings in Riverside, CA as of May 2026, with employment types broken down into 1% As Needed, 82% Full Time, 6% Part Time, and 11% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $110,174 per year, or $53 per hour.

Sr. Perception & Sensors Engineer, Robotics Hardware

FieldAI

Irvine, CA

Full-time

Posted 23 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, ROS, sensor drivers), 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.
 
Sensor Systems Role:
As a Sensor Systems Engineer on the Hardware Team, you will contribute to the design, integration, calibration, and validation of the sensing systems that underpin our autonomy stack. You will work with a diverse array of sensors-LiDARs, depth cameras, IMUs, GPS, and more-ensuring each one delivers accurate, time-synchronized, and spatially consistent data in a range of environments and operating conditions. You will collaborate closely with the autonomy, compute, electrical, and mechanical teams to build tightly integrated solutions ready for deployment in challenging field environments. Additionally, while your focus will be on sensors you will likely contribute across all hardware domains.
 
 
What You Will Get To Do
 
 
1. Sensor System Design
  • Sensor Architecture: Work across hardware and software teams to define sensing requirements. Identity, test, and select sensors such as LiDARs, depth cameras, GPS, IMUs, ToF, and other devices.
  • Systems Integration: Integrate sensors with electrical (USB, Ethernet, I2C, CAN, GMSL), mechanical (mounts, jigs, isolation), and software (configurations, drivers, ROS nodes) systems. Ensuring power, thermal, and protocol compatibility.
  • Spatial Performance: Architect system to meet spatial sampling performance requirements including spatial coverage, range, resolution, and transform accuracy.
  • Temporal Performance: Implement and validate synchronization strategies, triggering schemes, timestamp encoding, and end-to-end latency minimization.
 
2. Sensor System Implementation
  • Performance Characterization: Evaluate sensor performance (spatial resolution, temporal drift, EMI noise, sync errors etc.). Test under real-world environmental conditions (vibration, lighting, moisture, temperature).
  • Calibration: Design and execute both intrinsic and extrinsic calibrations. Build alignment rigs and calibration boards as needed.
  • Optimization: Tune sensor configurations (exposure, gain, filtering, frame rate, etc.) and processing pipeline (filtering etc.)  for optimal performance
  • Documentation: Create timing diagrams, sensor maps, coordinate transforms, and maintain all configuration files, launch scripts, driver references, and firmware states.
 
3. Sensor System Production & Servicing
  • Build: Work with vendors to procure sensors. Develop QA checks for incoming units. Support payload integration and manufacturing at scale.
  • Debug: Conduct root cause analysis of sensor systems including issues across hardware and software boundaries.
  • Monitor: Develop protocols for monitoring the sensing system health, data quality, and calibration status during field deployments.
 
What You Have
 
  • Education: B.S., M.S. or Ph.D. in Robotics, Electrical Engineering, Engineering Physics, Physics, 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.
  • Hands-On Sensors Experience: Hands-on work with perception sensors such as LiDAR, depth cameras, IMUs, GPS.
  • Systems Thinking: Cross-functional collaboration experience across electrical, mechanical, and software teams.
  • Sensor Physics: Strong foundation in optics, signal processing, and electromagnetic wave propagation.
  • Lab Skills: Hands-on testing, calibration, and debugging skills (oscilloscopes, logs, vibration/thermal setups)
  • Communication Protocols: Experience with protocols such as USB, Ethernet, GMSL, CAN, I2C, and CSI.
  • Computer & Software: Experience working with ROS/ROS2, sensor drivers, coordinate transforms (TF), and timing protocols (PTP, NTP, etc.).
  • Timing & Triggers: Experience with timestamping, synchronization, triggering, and latency constraints.
  • Calibration & Characterization: Experience designing and executing intrinsic, extrinsic, and temporal calibrations, along with sensor characterization under real-world environmental conditions.
  • Simulation: Experience high-fidelity simulation environments (Gazebo, Isaac Sim, RViz) for sensor modeling.
 
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 sensor 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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