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Internship Google Robotics Engineer Jobs in Washington

Node.Digital

Automation / AIOps Engineer

Washington, DC · On-site

This individual will leverage Infrastructure as Code (IaC), Robotic Process Automation (RPA), and ... Google Cloud Professional Machine Learning Engineer. Benefits We are proud to offer competitive ...

SZNS Solutions LLC

Software Engineer

Reston, VA · On-site

Founded by ex-Googlers with engineers from Google, Amazon, and Capital One, SZNS differentiates ... Internship or personal projects showcasing your development skills. Benefits * Competitive salary ...

SZNS Solutions LLC

Software Engineer

Reston, VA

Founded by ex-Googlers with engineers from Google, Amazon, and Capital One, SZNS differentiates ... Internship or personal projects showcasing your development skills. Benefits * Competitive salary ...

SZNS Solutions LLC

Software Engineer

Reston, VA · On-site

Founded by ex-Googlers with engineers from Google, Amazon, and Capital One, SZNS differentiates ... Internship or personal projects showcasing your development skills. Benefits * Competitive salary ...

Quantum Space

Electrical Engineer I

Rockville, MD · On-site

Participation in university, internship, research, or professional engineering projects involving aerospace, robotics, or defense technologies What You'll Get * Ownership - Contribute directly to the ...

Vidoori Inc.

Cloud Engineer (Junior)

Hyattsville, MD · On-site

$65 - $95/hr

AWS, Microsoft Azure, or Google Cloud. * Understanding of cloud computing concepts including ... Experience with cloud labs, personal projects, internships, university projects, or industry ...

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Internship Google Robotics Engineer information

What does an Internship Google Robotics Engineer do?

An Internship Google Robotics Engineer works as part of Google's robotics teams, assisting in the research, design, and development of robotic systems and technologies. Interns may collaborate on projects involving hardware, software, machine learning, or artificial intelligence to help solve real-world problems. Their responsibilities often include programming, testing prototypes, data analysis, and working closely with experienced engineers. This role provides hands-on experience and mentorship, giving interns a chance to contribute to innovative projects while building valuable technical skills.

What types of projects can I expect to work on as an Internship Google Robotics Engineer, and how much autonomy will I have?

As an Internship Google Robotics Engineer, you will typically be involved in hands-on projects that contribute to ongoing research or the development of new robotic systems. Projects may include tasks such as improving perception algorithms, testing hardware prototypes, or developing software for robot navigation and manipulation. Interns generally work closely with experienced engineers and researchers, receiving mentorship while also being encouraged to take ownership of specific project components. This collaborative environment allows you to develop technical skills and gain insight into how cross-functional teams operate within Google's robotics division.

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

To excel as an Internship Google Robotics Engineer, a solid understanding of robotics fundamentals, programming (especially in Python or C++), and coursework in computer science, engineering, or a related field is typically required. Familiarity with ROS (Robot Operating System), simulation tools like Gazebo, and version control systems such as Git are commonly expected; relevant project experience or academic research is a plus. Problem-solving ability, teamwork, and effective communication are vital soft skills that distinguish top candidates in collaborative and fast-paced environments. These competencies are crucial for contributing to innovative projects, adapting to complex challenges, and ensuring effective collaboration within multidisciplinary teams.

What are the most commonly searched types of Google Robotics Engineer jobs in Washington?

The most popular types of Google Robotics Engineer jobs in Washington are:

What are popular job titles related to Internship Google Robotics Engineer jobs in Washington?

For Internship Google Robotics Engineer jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Internship Google Robotics Engineer jobs in Washington look for?

The top searched job categories for Internship Google Robotics Engineer jobs in Washington are:

What cities in Washington are hiring for Internship Google Robotics Engineer jobs?

Cities in Washington with the most Internship Google Robotics Engineer job openings:

Internship Google Robotics Engineer jobs near you
Infographic showing various Internship Google Robotics Engineer job openings in Washington as of July 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Automation / AIOps Engineer

Node.Digital LLC

Washington, DC • On-site

$120 - $150/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago

Job description

Automation / AIOps Engineer

Location: Washington, DC

Preferred: US Citizen

Job Description

The Automation / AIOps Engineer will be responsible for developing, implementing, and maintaining automation workflows, scripts, orchestration routines, and reusable templates to support provisioning, configuration, maintenance, monitoring response, patching, backup validation, reporting, and other operational activities within FA1. This individual will leverage Infrastructure as Code (IaC), Robotic Process Automation (RPA), and AIOps capabilities to transform repetitive, manual tasks into automated, repeatable, and measurable outcomes. The role includes applying advanced analytics and machine learning-driven insights to proactively identify, correlate, and resolve infrastructure and platform issues, optimize capacity and performance, and reduce mean time to detect (MTTD) and mean time to restore (MTTR).

Required Skills
  • Strong expertise in automation technologies, including Infrastructure as Code (IaC), Robotic Process Automation (RPA), and orchestration tools.
  • Proficiency in AIOps practices, including the use of artificial intelligence and machine learning for operational decision support.
  • Experience in developing and maintaining automation workflows, scripts, and templates.
  • Ability to apply advanced analytics and machine learning models to improve operational outcomes.
  • Technical knowledge of cloud-native environments, virtualization platforms, and enterprise storage systems.
  • Strong problem-solving skills to detect operational drift and emerging failure conditions.
  • Excellent communication and collaboration abilities to work with cross‑functional teams and stakeholders.
Nice To Have
  • Familiarity with natural language processing (NLP), computer vision, and TensorFlow-based ML models.
  • Experience with scikit-learn and pandas for processing operational data at scale.
  • Knowledge of AI/ML pipelines and foundation model prompts.
  • Understanding of FinOps practices and cost management tools.
  • Experience with ServiceNow, monitoring tools, and configuration repositories.
  • Ability to collaborate with infrastructure automation teams and other contractor teams.
Certifications
  • Relevant certifications in automation technologies, such as Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), or similar.
  • Certifications in AIOps and machine learning, such as AWS Certified Machine Learning – Specialty or Google Cloud Professional Machine Learning Engineer.

We are proud to offer competitive compensation and benefits packages to include

  • Medical
  • Dental
  • Vision
  • Basic Life
  • Health Saving Account
  • 401K matching
  • Three weeks of PTO/Sick
  • 11 Paid Holidays
  • Pre-Approved Online Training
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