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Robotics Application Engineer Jobs in Riverside, CA

VP of Engineering

Irvine, CA · On-site

$193K - $249K/yr

This role works across software platforms and application engineering to ensure our robots, tools, and infrastructure are designed, tested, released, and operated with the rigor required for real ...

VP of Engineering

Irvine, CA

$193K - $249K/yr

This role works across software platforms and application engineering to ensure our robots, tools, and infrastructure are designed, tested, released, and operated with the rigor required for real ...

VP of Engineering

Irvine, CA

$193K - $249K/yr

This role works across software platforms and application engineering to ensure our robots, tools, and infrastructure are designed, tested, released, and operated with the rigor required for real ...

Bring up new robots upon receipt from OEMs or manufacturing partners, including initial ... Partner with Field Application Engineers and engineering teams to deploy software updates ...

Bring up new robots upon receipt from OEMs or manufacturing partners, including initial ... Partner with Field Application Engineers and engineering teams to deploy software updates ...

Bring up new robots upon receipt from OEMs or manufacturing partners, including initial ... Partner with Field Application Engineers and engineering teams to deploy software updates ...

This is not an engineering role -- it's a performance and experience role. You'll be the person who ... in application materials based on available information. These tools assist our recruitment team ...

This is not an engineering role - it's a performance and experience role. You'll be the person who ... in application materials based on available information. These tools assist our recruitment team ...

This is not an engineering role - it's a performance and experience role. You'll be the person who ... in application materials based on available information. These tools assist our recruitment team ...

... Engineering (RME) selection process for Mechatronics & Robotics Technicians: (Timeframe: Approximately 30-days) Step 1: Congratulations! You successfully submitted your application! Step 2: Amazon ...

... Engineering (RME) selection process for Mechatronics & Robotics Technicians: (Timeframe: Approximately 30-days) Step 1: Congratulations! You successfully submitted your application! Step 2: Amazon ...

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Showing results 1-20

Robotics Application Engineer information

See Riverside, CA salary details

$52.7K

$115.5K

$158.6K

How much do robotics application engineer jobs pay per year?

As of Jun 26, 2026, the average yearly pay for robotics application engineer in Riverside, CA is $115,488.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,600.00 and $140,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Robotics Application Engineer, and why are they important?

To thrive as a Robotics Application Engineer, you need a solid background in mechanical or electrical engineering, programming (such as Python or C++), and automation principles, often supported by a relevant degree. Familiarity with robotics platforms (like FANUC, ABB, or KUKA), CAD software, and PLC programming, as well as certifications in robotics or automation, are commonly required. Strong problem-solving abilities, effective communication, and teamwork are crucial soft skills for collaborating with multidisciplinary teams and clients. These skills ensure the successful design, implementation, and support of robotic solutions tailored to complex industrial needs.

What is the difference between Robotics Application Engineer vs Robotics Software Engineer?

AspectRobotics Application EngineerRobotics Software Engineer
Required CredentialsBachelor's in Robotics, Mechanical, or Electrical Engineering; certifications in robotics or automationBachelor's or Master's in Computer Science, Robotics, or Software Engineering; programming certifications
Work EnvironmentHands-on with hardware, field testing, client sitesSoftware development, coding, simulation, testing in labs or offices
Employer & Industry UsageManufacturing, automation companies, robotics integratorsTech firms, research labs, automation software providers
Common Search & ComparisonOften compared for hardware vs software focus in robotics

The Robotics Application Engineer primarily focuses on integrating and testing robotic systems in real-world environments, working closely with hardware and clients. In contrast, the Robotics Software Engineer concentrates on developing and coding the software that powers robotic systems. Both roles require technical skills but differ in their focus on hardware versus software development.

What are some typical challenges a Robotics Application Engineer faces when integrating robots into existing manufacturing processes?

A Robotics Application Engineer often encounters challenges such as ensuring compatibility between new robotic systems and legacy equipment, customizing solutions to meet unique production requirements, and minimizing downtime during installation and testing. Effective communication with cross-functional teams—including production, maintenance, and IT—is vital to address unforeseen technical issues and to ensure seamless integration. Additionally, balancing project timelines with safety and quality standards requires strong project management and problem-solving skills.

What does a Robotics Application Engineer do?

A Robotics Application Engineer is responsible for designing, developing, and implementing robotic systems to automate manufacturing or business processes. They work closely with clients to understand their automation needs, select appropriate hardware and software, and integrate robotics solutions into existing workflows. Their role often includes programming robots, troubleshooting issues, providing technical support, and training end-users. Robotics Application Engineers play a crucial part in improving efficiency, safety, and productivity in industries ranging from automotive to electronics and logistics.
What job categories do people searching Robotics Application Engineer jobs in Riverside, CA look for? The top searched job categories for Robotics Application Engineer jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Robotics Application Engineer jobs? Cities near Riverside, CA with the most Robotics Application Engineer job openings:

Embedded Systems Engineer, Robotics Hardware

FieldAI

Irvine, CA • On-site

Full-time

Posted 12 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.
 
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, I²C, 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, I²C, 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.
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.