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Entry Level Ros Robotics Jobs in California (NOW HIRING)

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Entry Level Ros Robotics information

What is an entry level ROS robotics job?

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 are the key skills and qualifications needed to thrive as an entry level ROS robotics engineer?

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 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.

What are the most commonly searched types of Ros Robotics jobs in California?

The most popular types of Ros Robotics jobs in California are:

What job categories do people searching Entry Level Ros Robotics jobs in California look for?

The top searched job categories for Entry Level Ros Robotics jobs in California are:

What cities in California are hiring for Entry Level Ros Robotics jobs?

Cities in California with the most Entry Level Ros Robotics job openings:

Infographic showing various Entry Level Ros Robotics job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Software Engineer, Runtime & C++ Middleware

PlusAI

Santa Clara, CA • On-site

$120K - $200K/yr

Full-time

Re-posted 7 days ago


Job description

You will develop and optimize the core infrastructure that facilitates reliable, low-latency execution of on-vehicle robotics software. Your mission extends beyond building a rock-solid foundation for autonomous driving — you will also equip engineers with the tools needed to analyze system behavior, identify performance bottlenecks, and enhance robustness.
 
In this role, you will contribute to existing frameworks, libraries, and tools while also designing and implementing new components across various mission-critical domains.
Responsibilities:
  • Design and optimize low-latency interprocess communication and data flow monitoring.
  • Develop high-performance event logging and structured telemetry.
  • Implement safety-enhanced memory allocators and efficient memory provisioning policies.
  • Build lock-free data structures and algorithms to support real-time system requirements.
  • Work on network communication and coherency protocols.
  • Develop on-the-fly component health monitoring and rapid response mechanisms for critical events.
  • Manage on-vehicle configurations and system state validation.
  • Optimize low-level OS interactions and fine-tune system performance.
  • Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts.
  • Ensure team compliance with QMS, monitor quality, and drive process improvements.
Required Skills:
  • BS in Computer Science, Electrical Engineering, or related field.
  • Solid hands-on coding experience using C++14(or later)
  • Strong understanding of Linux development tools, including build systems, compilers, debuggers, and performance analyzers.
  • Excellent written and verbal communication skills.
  • Proactive problem-solving mindset: ability to identify, propose, and implement solutions.
Preferred Skills:
  • Experience in writing, debugging, and profiling multithreaded C++ applications.
  • Familiarity with robotics-related libraries such as ROS.
  • Knowledge of real-time OS, database internals, network programming, GPGPU, or robotics.
Salary Range:
  • $120,000 - $200,000 a year
Our compensations (cash and equity) are determined based on the position, your location, qualifications, and experience.

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.