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Robotics Application Engineer Jobs in Berkeley, CA

Skild AI

Robotics Application Engineer

San Mateo, CA

Position Overview We're looking for a hands-on, highly technical Robotics Application Engineer to work on the software that bridges our foundation models and real-world deployment. This role sits at ...

Skild AI

Robotics Engineer, Manipulation

San Mateo, CA · On-site

$100K - $300K/yr

Position Overview We are seeking a versatile Robotics Engineer to develop and implement software ... robotic application (ROS/ROS2, simulators, etc.). * Publications at top-tier ML, robotics or CV ...

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All JobsRobotics Application Engineer JobsRobotics Application Engineer Jobs in Berkeley, CA

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 Sep 2, 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 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 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 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 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:

Robotics Application Engineer jobs near you
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.

Robotics Application Engineer

Skild AI

San Mateo, CA

Full-time

Re-posted 13 days ago

Job description

Position Overview

We're looking for a hands-on, highly technical Robotics Application Engineer to work on the software that bridges our foundation models and real-world deployment. This role sits at the intersection of software development, systems integration, and operations - requiring a blend of technical depth and creative problem-solving. You'll translate complex real-world requirements into robust, deployable robotic solutions and collaborate closely with cross-functional teams to deliver and continuously improve them.

Responsibilities
  • Design, develop, and deploy software for robotic systems, including programming, configuration, and validation.
  • Integrate and deploy robotic software solutions into production environments.
  • Test, troubleshoot, and debug robotic applications - tracing failures across hardware, software, and model layers.
  • Work closely with ML and core robotics engineers to surface deployment failures, reproduce edge cases, and translate field learnings into system improvements.
  • Analyze and improve robot algorithms and system performance over time.
  • Build and maintain technical documentation, runbooks, and tooling to support configuration, monitoring, and performance evaluation.
  • Collaborate with hardware, operations, and R&D teams to optimize robotic performance and scalability.
Preferred Qualifications
  • BS, MS, or higher degree in Computer Science, Robotics, or a related field, or equivalent practical experience.
  • 3-5+ years of hands-on experience in robotics application development, system integration, or field deployment.
  • Proficiency in Python and C++; strong working knowledge of ROS/ROS2.
  • Familiarity with AI and machine learning techniques as applied to robotic systems.
  • Background in autonomous systems - robotics, drones, autonomous vehicles, industrial automation, or similar.
  • Familiarity with vision systems, simulation tools, and sensor integration.
  • Strong analytical and problem-solving skills with the ability to work in a fast-paced, dynamic environment.

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