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Entry Level Ros Robotics Jobs (NOW HIRING)

FieldAI

Embedded Systems Engineer-Federal

Irvine, CA

... ROS), and I/O interfaces. * Systems Integration: Integrate compute with sensing and robotic systems ... Experience Level: We are recruiting across a wide range of experience levels from entry level ...

FieldAI

Embedded Systems Engineer-Federal

Irvine, CA · On-site

... ROS), and I/O interfaces. * Systems Integration: Integrate compute with sensing and robotic systems ... Experience Level: We are recruiting across a wide range of experience levels from entry level ...

FieldAI

Embedded Systems Engineer-Federal

Irvine, CA

$70K - $300K/yr

... ROS), and I/O interfaces. * Systems Integration: Integrate compute with sensing and robotic systems ... Experience Level: We are recruiting across a wide range of experience levels from entry level ...

FieldAI

Sensor Systems Engineer-Federal

Irvine, CA · On-site

Field AI is transforming how robots interact with the real world. We are building risk-aware ... Experience working with ROS/ROS2, sensor drivers, coordinate transforms (TF), and timing protocols ...

FieldAI

Sensor Systems Engineer-Federal

Pittsburgh, PA · On-site

Field AI is transforming how robots interact with the real world. We are building risk-aware ... Experience working with ROS/ROS2, sensor drivers, coordinate transforms (TF), and timing protocols ...

FieldAI

Sensor Systems Engineer-Federal

Pittsburgh, PA

$70K - $300K/yr

Field AI is transforming how robots interact with the real world. We are building risk-aware ... Experience working with ROS/ROS2, sensor drivers, coordinate transforms (TF), and timing protocols ...

FieldAI

Sensor Systems Engineer-Federal

Irvine, CA

$70K - $300K/yr

Field AI is transforming how robots interact with the real world. We are building risk-aware ... Experience working with ROS/ROS2, sensor drivers, coordinate transforms (TF), and timing protocols ...

FieldAI

Sensor Systems Engineer-Federal

Pittsburgh, PA · On-site

Field AI is transforming how robots interact with the real world. We are building risk-aware ... Experience working with ROS/ROS2, sensor drivers, coordinate transforms (TF), and timing protocols ...

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Entry Level Ros Robotics information

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$84K

$96K

$116.5K

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

As of Jul 27, 2026, the average yearly pay for entry level ros 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 are the key skills and qualifications needed to thrive as an Entry Level ROS Robotics Engineer, and why are they important?

To thrive as an Entry Level ROS Robotics Engineer, you need a foundational understanding of robotics principles, programming skills in Python or C++, and a degree in computer science, engineering, or a related field. Familiarity with Robot Operating System (ROS), Linux, and version control systems like Git is typically required, and completion of ROS-specific courses or certifications is advantageous. Problem-solving abilities, attention to detail, and effective teamwork are important soft skills that set candidates apart. These competencies enable efficient development, integration, and troubleshooting of robotic systems in dynamic environments.

What are some typical challenges faced by entry-level professionals working with ROS (Robot Operating System) in robotics projects?

Entry-level professionals often encounter challenges such as getting familiar with the ROS ecosystem, understanding the communication between nodes, and troubleshooting integration issues with hardware and simulation environments. Learning how to effectively use ROS tools, manage dependencies, and debug topics or services can also be initially overwhelming. However, collaboration with more experienced team members and active participation in code reviews and documentation can help overcome these hurdles and accelerate learning.

What are entry level ROS robotics jobs?

Entry level ROS robotics jobs are positions designed for those new to working with the Robot Operating System (ROS), an open-source framework for building robot applications. These roles typically involve supporting the development, testing, and deployment of robotic systems using ROS. Candidates are often expected to have basic knowledge of programming (often in Python or C++), familiarity with Linux, and an understanding of robotics fundamentals. Entry level positions may include tasks like writing ROS nodes, integrating sensors, and assisting with simulation or real-world testing. These jobs provide valuable hands-on experience for those looking to start a career in robotics engineering.

What is the difference between Entry Level Ros Robotics vs Entry Level Robot Programmer?

AspectEntry Level Ros RoboticsEntry Level Robot Programmer
Required CertificationsBasic robotics, ROS certification preferredProgramming certifications, e.g., Python, C++
Work EnvironmentRobotics labs, research facilitiesManufacturing plants, automation companies
Industry UsageResearch, development, academiaIndustrial automation, production lines

Entry Level Ros Robotics focuses on developing and integrating robotic systems using ROS, often in research or development settings. In contrast, Entry Level Robot Programmers primarily write and test code for robots in industrial environments. Both roles require programming skills and familiarity with robotics concepts, but their work environments and applications differ.

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Entry Level Ros Robotics jobs near you
Infographic showing various Entry Level Ros Robotics job openings in the United States as of July 2026, with employment types broken down into 87% Full Time, 10% Part Time, 1% Temporary, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $96,000 per year, or $46.2 per hour.

Sr. Perception & Sensors Engineer, Robotics Hardware

FieldAI

Irvine, CA

Full-time

Posted 19 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 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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