1

Robotics Application Engineer Jobs in Berkeley, CA

Provide feedback on robot performance and usability * Assist engineering teams in identifying ... in application materials based on available information. These tools assist our recruitment team ...

Provide feedback on robot performance and usability * Assist engineering teams in identifying ... in application materials based on available information. These tools assist our recruitment team ...

Provide feedback on robot performance and usability * Assist engineering teams in identifying ... in application materials based on available information. These tools assist our recruitment team ...

Showing results 21-40

Robotics Application Engineer information

See Berkeley, CA salary details

$61.8K

$135.5K

$186.1K

How much do robotics application engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for robotics application engineer in Berkeley, CA is $135,544.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,900.00 and $165,300.00 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 are popular job titles related to Robotics Application Engineer jobs in Berkeley, CA? For Robotics Application Engineer jobs in Berkeley, CA, the most frequently searched job titles are:
What job categories do people searching Robotics Application Engineer jobs in Berkeley, CA look for? The top searched job categories for Robotics Application Engineer jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Robotics Application Engineer jobs? Cities near Berkeley, CA with the most Robotics Application Engineer job openings:
Infographic showing various Robotics Application Engineer job openings in Berkeley, CA as of August 2026, with employment types broken down into 76% Full Time, 18% Part Time, and 6% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $135,544 per year, or $65.2 per hour.

Applied Robotics Engineer - San Francisco (CA)

byte-code spa

San Francisco, CA • On-site

Full-time

Re-posted 2 days ago


Job description

About Xaba
Xaba https://www.xaba.ai/ is at the forefront of AI-driven robotics automation, pioneering cutting-edge solutions to enhance industrial processes. Headquartered globally, with a team of collaborative scientists, engineers, and designers, Xaba operates in a remote-first and distributed environment. Join us in shaping the future of AI in robotics.
The Role
We are seeking an Applied Robotics Engineer to contribute to the development and deployment of our innovative products. As a key member of the Xaba team, you will play a pivotal role in shaping AI-powered robotics automation, while closely collaborating with the leadership team.
What you will do:
  • Collaborate with Xaba's cross-functional team of engineers to support the development, testing and deployment of AI models leveraging state-of-the-art DNN, CNN and GNN models to augment industrial robotics cognition, awareness and facilitate their program generation
  • Conduct applied research in Robotics Welding, Inspection, Machining, and Assembling to gather data. This supports the development, training, auditing, and validation of physics-based AI models for robotics fabrication processes.
  • Provide training and support for Xaba's products.
  • Work closely with customers to understand their requirements and pain points, ensuring successful integration of AI-powered robotics software.

Technical Expertise:
  • Working experience with industrial robot manipulators: ABB, FANUC, UR, KUKA, etc.
  • Demonstrated hands-on experience in designing, building and deploying robotic systems.
  • Practical knowledge of robotic fabrication processes, including welding, machining, assembling, or inspection.
  • Proficiency in both spoken and written English.

Nice to have:
  • Experience with SolidWorks, AutoCAD, CloudCompare.
  • Familiarity with robotic hardware components, sensors, actuators, lasers and cameras.
  • Knowledge of robotic programming languages: RAPID, URSCRIPT, KRL, etc.
  • Solid understanding of key robotic aspects: forward and inverse kinematics, jacobians, collision detection, path-planning, control theory.

Education:
  • Background in Industrial Robotics, Automation, or degree in Mechanical Engineering.

Our location
While our team is remote-first and fully distributed, but for this position you must live in San Francisco, California.
Our Team and Perks
  • We are an open, collaborative, and supportive culture including skill shares and design critiques
  • We believe that employees should be owners, which is why we provide stock option grants for full-time employees
  • We believe in supporting the health and wellbeing of our team, which is why we offer a competitive health benefits package
  • As a remote-first team, we believe in the importance of having the right set up, which is why we offer a home office budget
  • Learning and development is critical to us, which is why we have a self-directed learning budget
  • Stock option grants for full-time employees, promoting a sense of ownership.
  • Competitive health benefits package.

Our Hiring Process
  • Discover: You discover the opportunity and apply to the role
  • Talk: You take part in a 30-45 minute screening call with the Hiring Manager to chat about the role and the team.
  • Deep dive: We have a 60 minute call to dive deep into your experience and the role.
  • Meet your team: You have a video call with a few other Xaba team members.
  • Offer: You receive an offer to join Xaba!

Accommodations and Accessibility
Inclusion and equity are the cornerstones of how we recruit, hire, and develop talent. We encourage applications from all candidates, especially those who identify as members of the BIPOC community, LGBTQ++ community, women, caregivers, immigrants, and people living with disabilities. We encourage candidates to include any accommodations you require in your application. We look forward to hearing from you.
About Byte-Code SpA
As Italian hiring partner, Byte-Code is helping Xaba finding the best candidates. You can apply through our website: https://bytecode.recruitee.com/
Technical Expertise:
  • Working experience with industrial robot manipulators: ABB, FANUC, UR, KUKA, etc.
  • Demonstrated hands-on experience in designing, building and deploying robotic systems.
  • Practical knowledge of robotic fabrication processes, including welding, machining, assembling, or inspection.
  • Proficiency in both spoken and written English.

Nice to have:
  • Experience with SolidWorks, AutoCAD, CloudCompare.
  • Familiarity with robotic hardware components, sensors, actuators, lasers and cameras.
  • Knowledge of robotic programming languages: RAPID, URSCRIPT, KRL, etc.
  • Solid understanding of key robotic aspects: forward and inverse kinematics, jacobians, collision detection, path-planning, control theory.

Education:
  • Background in Industrial Robotics, Automation, or degree in Mechanical Engineering.