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Full Time Google Robotics Engineer Jobs in Raleigh, NC

Senior Cloud Engineer

Raleigh, NC · On-site

$54.25 - $72.50/hr

Hands on experience in Google Cloud Platform * Certified Kubernetes Administrator with deep ... The US base salary range for this full-time position is $150,000 - 226,000 + bonus + equity ...

Senior Production Automation Engineer

Cary, NC · On-site

$96K - $126K/yr

Software Development/ Engineering Main location: United States, North Carolina, Cary Position ID ... Full Time U.S. - The best version of me By playing this video you consent to Google/YouTube ...

OSP Engineering Associate

Raleigh, NC · On-site

$58K - $73K/yr

Charlotte, NC and/or Raleigh, NC Job Type: Full Time, Salary Compensation: $58,000 - $73,000 (based ... Proficiency with Google Suite and Microsoft Office * Ability to multi-task and work on different ...

Director of Charging Quality This role requires a full-time onsite presence in Durham, NC Target ... Track customer-facing trends (repeat-visit failures, new vehicle behavior, Google/Plugshare ...

Director of Charging Quality This role requires a full-time onsite presence in Durham, NC Target ... Track customer-facing trends (repeat-visit failures, new vehicle behavior, Google/Plugshare ...

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Showing results 1-20

Full Time Google Robotics Engineer information

See Raleigh, NC salary details

$28.2K

$102.7K

$164.3K

How much do full time google robotics engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for full time google robotics engineer in Raleigh, NC is $102,657.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,200.00 and $123,500.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

A senior robotics engineer, such as a Full Time Google Robotics Engineer, can earn $500,000 or more annually, especially with bonuses, stock options, and extensive experience. High-level engineers in tech companies often reach this compensation level through advanced skills in AI, machine learning, and robotics development.

What are some common challenges faced by Google Robotics Engineers during cross-functional project collaborations?

As a Google Robotics Engineer, you’ll often collaborate with diverse teams including software developers, hardware engineers, product managers, and researchers. One common challenge is aligning different technical perspectives and timelines, especially when integrating hardware and software components. Effective communication and adaptability are key to ensuring project milestones are met without compromising on innovation or quality. Regular cross-team meetings and clear documentation help streamline collaboration and resolve potential roadblocks efficiently.

What does a Full Time Google Robotics Engineer do?

A Full Time Google Robotics Engineer designs, develops, and tests robotic systems and software, often working with advanced technologies like artificial intelligence, machine learning, and computer vision. They collaborate with multidisciplinary teams to create innovative solutions for applications such as automation, machine perception, and human-robot interaction. Their responsibilities may include programming robots, integrating hardware and software, troubleshooting issues, and optimizing robotic performance. These engineers play a key role in driving Google's robotics initiatives forward by ensuring systems are efficient, reliable, and scalable.

What is the difference between Full Time Google Robotics Engineer vs Full Time Boston Dynamics Robotics Engineer?

AspectFull Time Google Robotics EngineerFull Time Boston Dynamics Robotics Engineer
Required CredentialsBachelor's or Master's in Robotics, Computer Science, or related fields; experience with robotics software and hardwareBachelor's or Master's in Robotics, Mechanical Engineering, or related fields; strong programming and hardware integration skills
Work EnvironmentResearch labs, software development teams, collaborative projects within GoogleHands-on hardware development, field testing, and robotics system integration at Boston Dynamics
Employer & Industry UsageGoogle's robotics division, tech industry, innovation-focusedBoston Dynamics, robotics manufacturing, industrial and research applications

Both roles require strong technical skills in robotics and programming, but Google Robotics Engineers focus more on software development and AI integration, while Boston Dynamics Engineers emphasize hardware design and field testing. The choice depends on whether you prefer software innovation or hardware engineering in robotics.

How much does a robotics engineer at Google make?

A full-time robotics engineer at Google typically earns between $100,000 and $160,000 annually, depending on experience, location, and level. Compensation may also include bonuses, stock options, and benefits, with senior roles earning higher salaries.

Can a robotics engineer work in Google?

A robotics engineer can work at Google, especially in roles related to robotics, artificial intelligence, and automation. These positions often require strong skills in programming, hardware integration, and experience with tools like ROS or TensorFlow, along with relevant educational backgrounds. Google offers opportunities for full-time engineers to contribute to innovative robotics projects and research initiatives.

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

To thrive as a Full Time Google Robotics Engineer, you need a strong background in robotics, computer science, and engineering, typically supported by a relevant degree and experience in designing and programming robotic systems. Familiarity with programming languages such as Python or C++, robotics frameworks like ROS (Robot Operating System), and experience using simulation tools are commonly required. Effective problem-solving, teamwork, and clear communication are essential soft skills for collaborating on complex multidisciplinary projects. These skills and qualities are crucial to developing innovative, reliable robotic solutions that meet Google's high standards and solve real-world challenges.

Which 3 jobs will survive AI?

Full Time Google Robotics Engineers work on developing and maintaining robotic systems, a field that requires specialized skills in hardware, software, and AI integration. Jobs that involve complex problem-solving, creativity, and human interaction—such as robotics engineering, healthcare professionals, and skilled trades—are more likely to persist as AI automates routine tasks. Continuous learning and expertise in emerging technologies help ensure job security in these areas.
Infographic showing various Full Time Google Robotics Engineer job openings in Raleigh, NC 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 $102,657 per year, or $49.4 per hour.
Senior Cloud Engineer

Senior Cloud Engineer

Verily Life Sciences

Raleigh, NC • On-site

$54.25 - $72.50/hr

Full-time

Posted 16 days ago


Job description

Who We Are
Verily Health is a data platform and technology company purpose-built to power AI-enabled precision health solutions that accelerate research and improve care for individuals and communities. Uniquely positioned at the intersection of technology, data science, and healthcare, Verily transforms multimodal health data into insights, models, and actions that make healthcare more personalized, predictive, and precise.
Description
As a Cloud Engineer at Verily you will help us develop our cloud platform capabilities and tools to deliver scalable, reliable, secure, and performant production systems. You will work with software engineers, hardware engineers, data scientists & security to help them learn, adapt, and adopt our core cloud management tools and best practices. You will also help develop documentation and training material and evangelize these technologies and capabilities to the broader development organization. As an expert in Cloud technologies, you will also help influence the infrastructure decisions within the broader engineering organization.
Responsibilities
  • Design and Implement scalable, secure, and cost-efficient cloud infrastructure using automation tools.
  • Breakdown complex systems designs and identify cloud infrastructure requirements, both functional and nonfunctional.
  • Adhere to cloud architecture standards, policies, and guidelines to maintain consistency and reliability across teams and ensure compliance with data privacy and regulatory requirements (e.g., HIPAA, GDPR, FedRAMP).
  • Automate cloud infrastructure for Verily's suite of products on GCP as well as other cloud providers via Infrastructure as Code. Automate cloud operations strategy to ensure scalability, performance, security, and disaster recovery.
  • Reduce toil of repetitive cloud operations by automating into self-service workflows.

Qualifications
Minimum Qualifications
  • Bachelor's degree in Computer Science or a related technical field with 5+ years of experience in public cloud platforms like Google Cloud Platform (GCP) or AWS, with the ability to leverage these platforms effectively for large-scale operations.
  • 5+ years of experience in managing cloud through Infrastructure as Code using Terraform, etc. and through GitOps using GitHub Actions, Argo CD, Jenkins, etc.
  • 2+ years of experience with programming & scripting languages like Go, Python, Shell, etc; and experience in implementing scalable, reliable and secure cloud network solutions for a variety of workloads.
  • 2+ years of experience in establishing observability systems to monitor production systems and leading incident management processes to attain high system availability (99.9% uptime or higher).

Preferred Qualifications
  • Hands on experience in Google Cloud Platform
  • Certified Kubernetes Administrator with deep understanding of Kubernetes internals.
  • Familiarity with IaC actuation tools like Atlantis, Terraform Cloud, etc.
  • Experience in managing complex distributed systems in a public cloud environment.
  • Strong written and verbal communication skills.
  • Write technical & design documentation.

Qualified applicants must not require employer sponsored work authorization now or in the future for employment in the United States.
The US base salary range for this full-time position is $150,000 - 226,000 + bonus + equity + benefits. 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 across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus or benefits.
Verily Health Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.