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Entry Level Google Robotics Engineer Jobs (NOW HIRING)

FieldAI

Robotics QA / QC Engineer

Irvine, CA

$30 - $45/hr

We are looking for a Robotics QA/QC Engineer to own hands-on validation and testing of robotic ... entry-level candidates with relevant experience or projects) * Comfort working with physical ...

FieldAI

Robotics QA / QC Engineer

Irvine, CA

$30 - $45/hr

We are looking for a Robotics QA/QC Engineer to own hands-on validation and testing of robotic ... entry-level candidates with relevant experience or projects) * Comfort working with physical ...

FieldAI

Robotics QA / QC Engineer

Irvine, CA · On-site

$30 - $45/hr

We are looking for a Robotics QA/QC Engineer to own hands-on validation and testing of robotic ... entry-level candidates with relevant experience or projects) * Comfort working with physical ...

Apptronik

Robotics Test Engineer

Austin, TX · On-site

JOB SUMMARY Apptronik is seeking a Robotics Test Engineer to join the Software Integration & Test ... Hands-on experience with pytest or an equivalent framework (unittest, Google Test, JUnit ...

Skild AI

Research Engineer

San Francisco, CA

$100K - $300K/yr

Experience working with robot systems and large-scale model training. Base Salary Range: $100,000 - $300,000 USD Seniority Level: Entry level Employment Type: Full-time Job Function: Engineering and ...

Apptronik

Robotics Test Engineer

Austin, TX · On-site

JOB SUMMARY Apptronik is seeking a Robotics Test Engineer to join the Software Integration & Test ... Hands-on experience with pytest or an equivalent framework (unittest, Google Test, JUnit ...

Acceler8 Talent

Research Engineer

Mountain View, CA · On-site

The company has already deployed its technology with customers, recently secured FAA approval for autonomous drone operations, and is founded by former Google and Meta robotics engineers with ...

Rishabh RPO

Robotics Technician

Auburn Hills, MI · On-site

Auburn Hills, MI 48326 Robotics 1 - Entry Level * Experience: 1-2 years of experience in a related ... Associate degree in engineering, robotics, or equivalent experience Certifications : PE License ...

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Entry Level Google Robotics Engineer information

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$29K

$105.6K

$169K

How much do entry level google robotics engineer jobs pay per year?

As of Jul 10, 2026, the average yearly pay for entry level 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 engineer makes $500,000 a year?

Highly experienced engineers in specialized fields such as robotics, software engineering, or data science can earn $500,000 or more annually, especially at senior levels or in leadership roles. Achieving this level often requires advanced skills, extensive experience, and working at large tech companies or startups with stock options and bonuses.

How to become a robotics engineer with no experience?

To become an entry-level robotics engineer with no experience, focus on gaining foundational knowledge in robotics, programming, and electronics through online courses, tutorials, or community college classes. Building hands-on skills by working on personal projects, participating in robotics competitions, and learning tools like Arduino or ROS can also improve your qualifications; internships or apprenticeships can provide practical experience and industry exposure.

Can you get a job at Google with no experience?

Entry level Google robotics engineer positions typically require some relevant skills or education, such as knowledge of robotics, programming, or engineering principles. While prior experience is often preferred, candidates with strong foundational skills, certifications, or internships may be considered for entry-level roles. Demonstrating proficiency in tools like Python, C++, or ROS can improve chances of securing such a position.

Does Google hire robotics engineers?

Google hires robotics engineers for roles involving the development and integration of robotics and AI technologies. These positions often require skills in programming, machine learning, and hardware systems, and may be based in various locations or remote work options.
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Entry Level Google Robotics Engineer jobs near you
Infographic showing various Entry Level Google Robotics Engineer job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $105,605 per year, or $50.8 per hour.
Senior ML Engineer, Manipulation

Senior ML Engineer, Manipulation

Chef Robotics

San Francisco, CA • On-site

$180K - $280K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 26 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. Manipulation is one of the hardest open problems in robotics - and food makes it harder. Unlike structured industrial parts, food items are deformable, visually similar, irregularly shaped, and behave differently depending on temperature, moisture, and preparation state. At Chef, we're solving this in production, every day, across a growing menu of meal types and preparation configurations.
As a Senior ML Engineer, Manipulation, you will own the learning systems that enable our robots to reliably pick, place, and handle diverse food classes using multiple end effectors - from suction grippers to multi-finger hands. You will work end-to-end: from defining data collection strategies and training policies, to deploying and debugging those policies on physical robots in real environments.
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 train manipulation policies - behavior cloning, imitation learning, and RL - for dexterous food handling across diverse item classes and end effector types (suction, parallel jaw, multi-finger)
  • Implement and evaluate modern policy architectures (diffusion policies, transformer-based action models, action chunking) and adapt them to Chef's specific food manipulation challenges
  • Work with the platform team to build data collection pipelines using teleoperation, kinesthetic teaching, and autonomous rollouts; work with the data team on dataset curation, augmentation, and training infrastructure
  • Define evaluation metrics and regression benchmarks that accurately predict real-world manipulation performance; build recovery and fallback behaviors that handle dropped items, mis-grasps, and partial occlusions gracefully
  • Partner with perception and robotics engineers to validate end-to-end grasp-to-place performance across new food classes, and end effector configurations

What You Bring:
  • MS or PhD in Robotics, Machine Learning, Computer Science, or a closely related field - or equivalent practical experience
  • 5+ years of experience developing and deploying ML systems for robotics manipulation, visuomotor control, or robot learning
  • Deep expertise in at least two of: imitation learning, reinforcement learning, grasp estimation, or learned motion generation
  • Strong PyTorch skills and experience building reliable, production-quality training and evaluation pipelines
  • Hands-on experience deploying policies to real robotic hardware - not just simulation results
  • Strong software engineering fundamentals in Python; ability to write maintainable, well-tested code across research and production codebases
  • Track record of owning projects end-to-end: from problem framing through field deployment and iteration

Nice-to-have:
  • Experience with Vision-Language-Action (VLA) models, diffusion policies, or transformer-based action representations
  • Familiarity with simulation environments (MuJoCo, Isaac Sim, Genesis) and sim-to-real transfer techniques
  • Experience with multiple end effector types - suction, parallel jaw, multi-finger, or soft grippers
  • Background in food, agriculture, or consumer goods robotics where object variability is high
  • Experience with model compression, quantization, or TensorRT for edge deployment
  • Contributions to open robotics datasets or publications at CoRL, ICRA, RSS, NeurIPS, or similar venues
  • Experience using simulation environments (e.g. Isaac Sim, Gazebo) for synthetic data generation and domain randomization

$180,000 - $280,000 a year
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.

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