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Entry Level Robotic Engineer Jobs (NOW HIRING)

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Position: Entry- Level Manufacturing Engineer Job Type : Direct Hire Pay: $65,000 - $82,000 ... Internship, co-op, lab, shop, automotive, robotics, or other hands-on technical experience.

*Robotic Welder II

Accident, MD · On-site

$14.75 - $20.25/hr

Our core competencies include systems engineering, program management, logistics, production ... Preferred Qualifications: • AWS D1.2 Welder Qualification (entry-level) or internal equivalent ...

Execute manual and structured testing of robotic systems in lab and controlled environments ... entry-level candidates with relevant experience or projects) * Comfort working with physical ...

Execute manual and structured testing of robotic systems in lab and controlled environments ... entry-level candidates with relevant experience or projects) * Comfort working with physical ...

Robotics QA / QC Engineer

Irvine, CA · On-site

$30 - $45/hr

Execute manual and structured testing of robotic systems in lab and controlled environments ... entry-level candidates with relevant experience or projects) * Comfort working with physical ...

Assignments will typically start in an entry level discipline then progress through other areas of the organization as students' progress in their degree program including: * Basic robot programming ...

Entry-Level Electrical Engineer At RFS Engineering, a Salas O'Brien Company we tell our clients ... robotics, and more. Our technical experts are supported by an exceptional team of business ...

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Entry Level Robotic Engineer information

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$29K

$105.6K

$169K

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

As of Jul 21, 2026, the average yearly pay for entry level robotic engineer in the United States is $105,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $127,000.00 per year, depending on experience, location, and employer.

What does an Entry Level Robotic Engineer do?

An Entry Level Robotic Engineer assists in designing, building, testing, and maintaining robotic systems under the supervision of senior engineers. Typical tasks include programming robots, troubleshooting mechanical and electrical issues, and helping with the integration of robots into manufacturing or automation processes. Entry-level engineers often collaborate with multidisciplinary teams, learn industry standards, and contribute to documentation. This role is ideal for recent graduates or those starting their careers in robotics engineering.

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

To thrive as an Entry Level Robotic Engineer, you generally need a bachelor's degree in robotics, mechanical, electrical, or computer engineering, as well as foundational knowledge in robotics principles, programming, and control systems. Familiarity with CAD software, PLC programming, and robotic simulation tools, as well as understanding of industry standards like ROS (Robot Operating System), is often required. Strong problem-solving abilities, teamwork, and effective communication help you collaborate and adapt in multidisciplinary environments. These skills and qualifications are crucial for designing, troubleshooting, and optimizing robotic systems that meet project and industry needs.

What are the typical collaborative projects an Entry Level Robotic Engineer might participate in during their first year?

As an Entry Level Robotic Engineer, you can expect to work on multidisciplinary teams alongside software developers, mechanical engineers, and project managers. Typical projects may include assisting in the development and testing of robotic prototypes, debugging automation systems, and supporting integration efforts on the production floor. Collaboration often involves regular team meetings, sharing progress updates, and troubleshooting challenges together, providing valuable learning opportunities and exposure to multiple aspects of robotics projects.

What is the difference between Entry Level Robotic Engineer vs Mechanical Engineer?

AspectEntry Level Robotic EngineerMechanical Engineer
Required CredentialsBachelor's in Robotics, Mechanical, or Electrical EngineeringBachelor's in Mechanical Engineering
Work EnvironmentRobotics labs, manufacturing facilities, R&D centersManufacturing plants, design offices, research labs
Industry UsageRobotics companies, automation firms, tech startupsAutomotive, aerospace, manufacturing industries
Common Search IntentEntry level robotics roles, robotics engineering jobsMechanical design, product development roles

Entry Level Robotic Engineers focus on designing and developing robotic systems, often requiring knowledge of programming and electronics. Mechanical Engineers work on mechanical systems, structures, and product design. While both roles may overlap in manufacturing environments, robotic engineers specialize in automation and control systems, making their roles distinct in industry applications.

More about Entry Level Robotic Engineer jobs
What cities are hiring for Entry Level Robotic Engineer jobs? Cities with the most Entry Level Robotic Engineer job openings:
What are the most commonly searched types of Robotic Engineer jobs? The most popular types of Robotic Engineer jobs are:
What states have the most Entry Level Robotic Engineer jobs? States with the most job openings for Entry Level Robotic Engineer jobs include:
What job categories do people searching Entry Level Robotic Engineer jobs look for? The top searched job categories for Entry Level Robotic Engineer jobs are:
Infographic showing various Entry Level Robotic Engineer job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 95% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $105,605 per year, or $50.8 per hour.

Sr. Perception & Sensors Engineer, Robotics Hardware

FieldAI

Irvine, CA

$70K - $300K/yr

Full-time

Posted 8 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.
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.