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Path Robotics Jobs in California (NOW HIRING)

Hyve Solutions

Robotics Automation Engineer

Fremont, CA · On-site

$120K - $145K/yr

Program robots for specific tasks, including motion control, path planning, and task execution. Qualifications: * A bachelor's degree in a relevant engineering discipline such as mechanical ...

hyve solutions

Robotics Automation Engineer

Fremont, CA · On-site

$120K - $145K/yr

Program robots for specific tasks, including motion control, path planning, and task execution. Qualifications : * A bachelor's degree in a relevant engineering discipline such as mechanical ...

Matic

Robotics Material Handler

Mountain View, CA · On-site

$30/hr

Our robots are private by design, with all data processing performed by the robot itself, not in ... Break down packaging, manage cardboard and waste, and maintain clear pathways throughout the ...

Matic

Robotics Material Handler

Mountain View, CA

$30/hr

Our robots are private by design, with all data processing performed by the robot itself, not in ... Break down packaging, manage cardboard and waste, and maintain clear pathways throughout the ...

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All JobsPath Robotics JobsPath Robotics Jobs in California

Path Robotics information

See California salary details

$82.9K

$94.7K

$115K

How much do path robotics jobs pay per year?

As of Jun 10, 2026, the average yearly pay for path robotics in California is $94,742.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,800.00 and $100,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Path Robotics position, and why are they important?

To excel at Path Robotics, individuals typically need strong expertise in robotics engineering, computer vision, and machine learning, often supported by a degree in engineering, computer science, or related fields. Experience with robotic operating systems (ROS), industrial automation platforms, and programming languages like Python or C++ is also important. Strong analytical thinking, problem-solving, and effective teamwork skills help professionals navigate technical challenges and deliver innovative automation solutions. These capabilities are crucial for developing, implementing, and improving robotic systems in manufacturing or other automated environments.

What are typical projects or tasks a Path Robotics engineer might work on within a manufacturing environment?

As a Path Robotics engineer in a manufacturing setting, you may work on projects such as developing and deploying robotic arms for automated welding, optimizing machine vision systems for product inspection, or programming robots to handle parts assembly. Your daily responsibilities can include collaborating with software developers, hardware engineers, and production managers to design robust automation workflows and troubleshoot operational issues on the factory floor. This role often involves iterative testing, analyzing performance data, and implementing continuous improvements to maximize efficiency and quality. The environment is highly collaborative and fast-paced, providing many opportunities to work on diverse challenges and contribute to innovative automation solutions.

What is a Path Robotics job?

A Path Robotics job typically refers to roles at Path Robotics, a company specializing in AI-driven robotic welding solutions. These jobs often involve engineering, software development, machine learning, and automation to enhance manufacturing efficiency. Employees work on developing autonomous robotic systems that improve welding precision and adaptability. Roles may include robotics engineers, software developers, and AI researchers, among others.

What are popular job titles related to Path Robotics jobs in California? For Path Robotics jobs in California, the most frequently searched job titles are:
What job categories do people searching Path Robotics jobs in California look for? The top searched job categories for Path Robotics jobs in California are:
Path Robotics jobs near you
Infographic showing various Path Robotics job openings in California as of June 2026, with employment types broken down into 41% Full Time, and 59% Part Time. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $94,742 per year, or $45.5 per hour.

Research Engineer, Benchmarking, Robotics, DeepMind

DeepMind

Mountain View, CA • On-site

Full-time

Posted yesterday

Job description

Minimum qualifications:
  • Bachelor's degree in Computer Science, Robotics, or equivalent practical experience.
  • 2 years of experience with machine learning tools and algorithms, specifically deploying LLMs/VLMs and deep learning models.
  • Experience in a technical role (software engineering, AI/ML engineering, or solutions architecture).
  • Experience with Python, and with modern AI-assisted development tools to accelerate prototyping.

Preferred qualifications:
  • Experience with ROS/ROS2, or on-device deployment constraints (Jetson, TPU).
  • Experience managing large-scale multimodal datasets, time-series telemetry data, or building automated pipelines for hardware-in-the-loop testing.
  • Familiarity with the operational realities of modern vision-language-action (VLA) models or behavior cloning policies and their common pitfalls like task overfitting.
  • A deep-seated interest in the future of embodied AI and a desire to build the testing bedrock for robotics development.

About the job
At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.
Our mission is to bring advanced AI into the physical realm by building generalist robots that perceive, reason, and act naturally alongside humans.
As a Research Engineer, you will manage the practical challenges of benchmarking foundation models for robotics. You will have an understanding of how modern robotics foundation models work and where they currently fall short. Your mission is to design evaluation protocols, tooling, and frameworks that extract meaningful signals from the messiness of physical policy execution. You will build the infrastructure that allows the engineering team to effectively hillclimb and gives leadership a clear, data-driven understanding of technological readiness.
Artificial intelligence will be one of humanity's most transformative inventions. At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
We are pushing the boundaries across multiple domains. Our global teams offer learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $147000 - $211000 (USD) 15% bonus target bonus equity benefits
Learn more about benefits at Google .
Responsibilities
  • Design, implement, and maintain scalable, robust frameworks to enable large-scale evaluation of robot policies across offline open-loop testing and real-world hardware evaluations.
  • Partner with researchers to design the content of various benchmarks in order to maximize evaluation signal and stress-test model capabilities.
  • Build diagnostic and visualization tools that allow the team to easily root-cause policy failures and track performance regressions.
  • Establish evaluation criteria for model releases and own the stability and benchmarking of models slated for critical demos.
  • Innovate on how to make real-world hardware evaluation faster, more reproducible, and less reliant on manual human intervention.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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