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Google Robotics Jobs in Michigan (NOW HIRING)

Miracle software system

Sr. RPA Developer

Novi, MI · On-site

$51.25 - $67.75/hr

Demonstrated ability working on inbuilt OCR tools (Google/ Microsoft/ Abbyy) and third party OCR ... to RPA solutions and/or integrations. * Strong analytical skills with the ability to analyze ...

Miracle software system

Sr. RPA Developer

Novi, MI · On-site

$51.25 - $67.75/hr

Demonstrated ability working on inbuilt OCR tools (Google/ Microsoft/ Abbyy) and third party OCR ... to RPA solutions and/or integrations. * Strong analytical skills with the ability to analyze ...

Deloitte

GCP Cloud Analytics Engineer

Detroit, MI

$55.25 - $73.75/hr

As a Sr Consultant, GCP Cloud Analytics, you will help clients design, build, and scale Google ... The AI & Data team leverages the power of data, analytics, robotics, science and cognitive ...

Continuum Resource Network

Inventory Specialist

Ann Arbor, MI · On-site

$17.25 - $22/hr

... robotics, or R&D environment. * Proficiency with inventory software and digital tools (e.g., ERP, parts catalog systems, Excel, Google Sheets etc.). * Strong organizational skills and attention to ...

Continuum Resource Network

Inventory Specialist

Ann Arbor, MI · On-site

$17.25 - $22/hr

... robotics, or R&D environment. * Proficiency with inventory software and digital tools (e.g., ERP, parts catalog systems, Excel, Google Sheets etc.). * Strong organizational skills and attention to ...

Continuum Resource Network

Inventory Specialist

Ann Arbor, MI · On-site

$17.25 - $22/hr

... robotics, or R&D environment. * Proficiency with inventory software and digital tools (e.g., ERP, parts catalog systems, Excel, Google Sheets etc.). * Strong organizational skills and attention to ...

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Google Robotics information

How much does a robotics engineer at Google make?

A robotics engineer at Google typically earns between $100,000 and $160,000 annually, depending on experience, location, and specific role. Compensation may also include bonuses, stock options, and benefits, with advanced skills in robotics, programming, and AI contributing to higher salaries.

What engineer makes 500,000 a year?

Senior robotics engineers or specialized automation engineers in high-tech companies like Google Robotics can earn salaries approaching or exceeding $500,000 annually, especially with bonuses and stock options. These roles typically require advanced degrees, extensive experience, and expertise in areas such as machine learning, control systems, or hardware development.

What types of projects or challenges do team members typically work on in Google Robotics roles?

Employees in Google Robotics frequently work on cutting-edge projects involving autonomous navigation, computer vision, robotic manipulation, and advanced machine learning algorithms. Daily responsibilities might include designing and testing system architectures, developing control software, and collaborating closely with cross-functional teams such as hardware engineers, product managers, and AI researchers. The fast-paced environment encourages knowledge sharing and problem-solving, where engineers are expected to balance research with scalable product implementation. Joining Google Robotics means tackling complex real-world challenges that have a direct impact on advancing robotics technology used in industries worldwide.

Does Google work on robotics?

Google Robotics is a division within Alphabet that develops robotics technologies and solutions, including autonomous systems and AI-powered robots. The company invests in research, hardware, and software to advance robotics applications across various industries. Job roles in this field often require skills in AI, machine learning, and engineering.

Does Google have robotics jobs?

Google offers robotics-related jobs through its parent company Alphabet and its subsidiaries like Boston Dynamics. These roles often involve engineering, software development, and research in robotics and automation, requiring skills in programming, hardware integration, and AI. Job seekers can find opportunities in research labs, product development, and technical support within the robotics field at Google and its affiliates.

What is a Google Robotics job?

A Google Robotics job involves working on advanced robotics technologies, combining AI, machine learning, and hardware to develop intelligent automation solutions. Roles in Google Robotics span software engineering, machine learning, computer vision, and hardware design. Employees work on projects that enhance robotic perception, mobility, and interaction in real-world environments. These roles require expertise in robotics, programming (Python, C++, or ROS), and AI-driven algorithms.

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

To thrive in a Google Robotics role, you need a solid background in robotics engineering, programming (such as Python or C++), machine learning, and mechanical or electrical engineering, often supported by a relevant degree. Experience with ROS (Robot Operating System), simulation platforms like Gazebo, and hands-on prototyping tools are commonly required, while certifications in AI or robotics can be advantageous. Strong problem-solving abilities, effective teamwork, and clear communication skills distinguish top performers in this field. Mastery of these technical and interpersonal skills ensures you can innovate, collaborate, and deliver robust robotic solutions in a cutting-edge, interdisciplinary environment.

What are popular job titles related to Google Robotics jobs in Michigan? For Google Robotics jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Google Robotics jobs in Michigan look for? The top searched job categories for Google Robotics jobs in Michigan are:
Google Robotics jobs near you
Infographic showing various Google Robotics job openings in Michigan as of July 2026, with employment types broken down into 82% Full Time, 11% Part Time, 1% Temporary, and 6% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution.
Technical Lead I-AI Engineer

Technical Lead I-AI Engineer

Blue Cross Blue Shield of Michigan

Detroit, MI

$101K - $133K/yr

Other

Posted yesterday

Blue Cross Blue Shield of Michigan rating

7.8

Company rating: 7.8 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

185th of 298 rated insurance

Job description

IntroductionWith more than 7,000 employees, we are the largest health insurance company in Michigan. We offer an exciting work environment with a diverse group of employees. Our goal is to make health insurance easier for our members. We want to transform the industry and become a resource that people can trust.

Overview

The AI Engineer/Technical Lead is responsible for designing, developing, and leading intelligent automation solutions using UiPath’s RPA and AI ecosystem. The role combines hands-on development with technical leadership, ensuring high-quality delivery of AI-enhanced automation projects.

Responsibilities

  • Lead design and development of UiPath automation solutions, including AI Center and Document Understanding.
  • Build and deploy AI/ML models to enhance automation accuracy and efficiency.
  • Integrate workflows with APIs, databases, cloud services, and enterprise systems.
  • Provide technical leadership, code reviews, and mentorship to RPA developers.
  • Collaborate with business teams to assess processes, define requirements, and deliver scalable solutions.
  • Oversee deployment, monitoring, and optimization through UiPath Orchestrator.
  • Troubleshoot issues, maintain existing automations, and ensure best practices and governance.

Requirements

Required Skills

  • Strong problem-solving, leadership, and communication skills.
  • Strong expertise with UiPath Studio, Orchestrator, AI Center, Document Understanding, and Action Center.
  • Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-Learn).
  • Experience with OCR technologies (Document Understanding, ABBYY, Google Vision, Azure Form Recognizer).
  • Knowledge of API integration, REST/SOAP services, SQL/NoSQL databases.
  • Understanding of cloud platforms (Azure/AWS/GCP) and containerization (Docker).
  • Familiarity with Git, CI/CD pipelines, and DevOps for automation

AI & ML Expertise:

  • Design and build custom ML models (Python, TensorFlow, PyTorch, Scikit-Learn) to solve business-specific problems.

  • Fine-tune and optimize models for accuracy, performance, and scalability.

  • Manage model lifecycle: training, retraining, versioning, monitoring, and drift detection.

  • Utilize GenAI, NLP, LLM-based solutions to enhance automation (ChatGPT-like assistants, classification models, summarization tools, etc.).

What Blue Cross Blue Shield of Michigan employees say

Pay

Benefits

Hours and flexibility

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