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Summer Google Robotics Engineer Jobs (NOW HIRING)

Magna

Robotics AI Algorithm- R&D Summer 2026

Troy, MI · On-site

POSITION OVERVIEW This is a research intern position within the Advanced Robotics team in the Corporate Engineering and R&D department. The Advanced Robotics team is focused on developing novel ...

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All JobsSummer Google Robotics Engineer Jobs

Summer Google Robotics Engineer information

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$29K

$105.6K

$169K

How much do summer google robotics engineer jobs pay per year?

As of Jun 29, 2026, the average yearly pay for summer google robotics engineer in the United States is $105,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $127,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Summer Google Robotics Engineer, you need a solid background in computer science or engineering, strong programming skills (often in Python, C++, or Java), and experience with robotics fundamentals such as perception, control systems, and machine learning. Familiarity with tools like ROS (Robot Operating System), simulation environments, and version control systems (e.g., Git) is typically required. Effective problem-solving, teamwork, and adaptability are crucial soft skills for collaborating on cross-functional projects and tackling complex engineering challenges. These capabilities ensure you can contribute to innovative robotics solutions and integrate seamlessly into dynamic engineering teams.

What types of projects and technologies do Summer Google Robotics Engineers typically work on during their internship?

As a Summer Google Robotics Engineer, you can expect to work on innovative projects involving robotic hardware, software, and artificial intelligence. Interns often collaborate with experienced engineers to develop and test algorithms for perception, motion planning, or manipulation, and may contribute to the design of robotic systems or prototypes. You'll use technologies such as ROS (Robot Operating System), Python, C++, and various machine learning frameworks, while participating in code reviews and team meetings to refine solutions. This hands-on experience is valuable for building technical skills and gaining exposure to real-world robotics challenges in a collaborative, fast-paced environment.

What is the difference between Summer Google Robotics Engineer vs Summer Robotics Software Engineer?

AspectSummer Google Robotics EngineerSummer Robotics Software Engineer
Required CredentialsRelevant engineering degrees, robotics certificationsComputer science or software engineering degrees, coding certifications
Work EnvironmentHands-on robotics development, hardware integrationSoftware development, simulation, coding tasks
Employer & Industry UsageGoogle's robotics projects, autonomous systemsRobotics software solutions, automation tools

The Summer Google Robotics Engineer role focuses on both hardware and software aspects of robotics projects, requiring knowledge of mechanical systems and electronics. In contrast, the Summer Robotics Software Engineer primarily concentrates on developing and testing software for robotics applications. Both roles involve programming and problem-solving but differ in their emphasis on hardware versus software development.

What is a Summer Google Robotics Engineer?

A Summer Google Robotics Engineer is an intern or temporary employee who works at Google during the summer months, focusing on robotics projects. Their responsibilities often include designing, developing, and testing robotic systems, software, and hardware. They collaborate with experienced engineers to contribute to ongoing research and development in areas like machine learning, computer vision, and automation. The position is ideal for students or recent graduates seeking hands-on experience in robotics at one of the world’s leading technology companies.
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Summer Google Robotics Engineer jobs near you
Infographic showing various Summer Google Robotics Engineer job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 27% Full Time, 61% Part Time, 1% Temporary, and 10% Contract. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution, with an average salary of $105,605 per year, or $50.8 per hour.
Robotics Software Test Engineer

Robotics Software Test Engineer

Chef Robotics

San Francisco, CA

Full-time

Posted 17 days ago

Job description

Chef Robotics is accelerating the deployment of intelligent machines in the physical world, starting with food production — the sector facing the largest labor shortage in the U.S., with 1.14M unfilled jobs today and 3.1M projected by 2030. These roles can't be offshored, making robotics essential to keeping production onshore and strengthening America's manufacturing base.

Our AI-powered robots automate food prep and assembly in commercial kitchens and food manufacturing, and have already produced over 110 million meals in production — generating the world's largest proprietary dataset for deformable food manipulation. Backed by investors including Kleiner Perkins, Construct, Bloomberg Beta, and Promus Ventures, and built by a team from Cruise, Zoox, Google, Tesla, and Amazon Robotics, Chef is rapidly scaling with multiple multi-year contracts and a mission to put an intelligent robot in every commercial kitchen.


About the Role

Chef Robotics is building autonomous robots that work alongside humans in commercial food preparation environments — and a software regression in production isn't just a bug, it's a missed meal, a stopped line, or a customer incident. As a Robotics Software Test Engineer, you own the quality bar for our entire robot software stack: perception, autonomy, platform, and the integrations between them.

This is a builder role, not a manual QA role. You'll design and implement the test infrastructure, CI/CD gates, and hardware-in-the-loop validation systems that let a small team ship fast without breaking things in the field. You'll work directly with perception and robotics engineers — embedded in the team, not downstream of it — and your test frameworks will be first-class engineering artifacts.

We are a small, high-ownership team. We work onsite five days a week and move with startup urgency.
In this role, you will:
  • Design and implement automated test plans, test cases, and fixtures across the full robot software stack — from unit tests to system-level integration tests
  • Build and own hardware-in-the-loop (HIL) test infrastructure that validates perception, robotics, and platform software against real or simulated hardware
  • Strengthen and extend CI/CD pipelines to catch regressions early and gate releases with high confidence
  • Define quality metrics and release readiness criteria; track test coverage, failure trends, and fleet health to give the team clear signal
  • Investigate and root-cause production failures across software, hardware, and system boundaries; build regression tests to prevent recurrence
  • Develop simulation-based test environments to validate perception and robotics changes before deploying to physical robots
  • Participate in design and code reviews with a lens on testability, observability, and failure modes
  • Instrument the robot software stack for better debuggability and post-hoc failure analysis
What You Bring:
  • 3+ years of experience in software test engineering, reliability engineering, or a closely related role
  • Strong Python skills
  • Hands-on experience designing and building test infrastructure — not just writing tests, but building the systems that run them
  • Experience with CI/CD systems and integrating automated testing into release pipelines
  • Strong debugging instincts — able to trace failures across software layers, hardware interfaces, and timing boundaries
  • Solid understanding of testing methodologies across unit, integration, system, and hardware-in-the-loop layers
  • Comfort working in Linux-based development and production environments
  • Self-starter who can prioritize independently in an ambiguous, fast-moving environment
Nice-to-have:
  • Experience testing robotics software stacks (ROS, perception pipelines, control systems)
  • Familiarity with simulation environments (Gazebo, Isaac Sim) for test scenario generation
  • Experience with Docker or containerized test environments
  • Background in data logging, observability pipelines, or fleet monitoring systems
  • Knowledge of networking protocols relevant to robotics (TCP/UDP, PTP, gRPC)
  • Experience with hardware bring-up, sensor calibration, or embedded systems testing
  • Prior work in fast-paced robotics or hardware startups
Chef is an early-stage startup where equity is a major part of the compensation package. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training.
 
In addition to salary and early-stage equity, we offer a comprehensive benefits package that includes medical, dental, and vision insurance, commuter benefits, flexible paid time off (PTO), catered lunch, and 401(k) matching.

Chef Robotics is solving one of the hardest problems in AI and robotics — and we ship. Our robots are in production today, generating real data that trains the next generation of food AI. Backed by Kleiner Perkins, Construct, Bloomberg Beta, and Promus Ventures, and built by a team from Cruise, Zoox, Google, Tesla, and Amazon Robotics, we're scaling fast with multiple multi-year enterprise contracts. If you want to build physical AI with real-world deployments and real impact, Chef is the place.

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.