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Manager Quantum Computing Google Jobs in Michigan

Ford Motor Company

Software Engineer

Redford, MI · On-site

Proven experience deploying software to edge computing hardware or IoT devices. * Backend Mastery ... Design and manage data pipelines using Google Cloud tools (BigQuery, Postgres) to handle real-time ...

Software People, Inc.

AI Developer

Lansing, MI · On-site

... cloud computing and software development. * 3+ years software development in Python, Java ... and managing Google Cloud Platform (GCP) solutions. * 3+ years in projects development using ...

IBOTIX US Inc.

Product Security Engineer

Dearborn, MI · On-site

Help teams manage technical debt, upgrade paths, and software supply chain/SBOM risks. Communicate ... Computing, Dynatrace, Apache Tomcat, Application Development, Cloud Infrastructure, Computer ...

Evolutyz Corp

Azure Cloud Architect

Okemos, MI · On-site

$57.75 - $75.50/hr

In addition, AWS and Google cloud experience will be a big plus. · The Cloud Architect ... management and monitoring. · Our ideal candidates are familiar with the infrastructure and ...

New

Apetan Consulting

Azure Cloud Architect

Lansing, MI · On-site

$64.50 - $84/hr

The Cloud Architect's responsibilities include overseeing the cloud computing strategy of our ... management and monitoring. Our ideal candidates are familiar with the infrastructure and ...

Stefanini

CDN Platform Engineer

Dearborn, MI · On-site

... managing enterprise CDN platforms, including Akamai, Cloudflare, Fastly, or Google Cloud CDN.Deep ... edge computing.Multi-CDN Strategy & Implementation: Directly configure, deploy, and maintain ...

Stefanini

Sr. Backend Developer

Dearborn, MI · On-site

... management of Platforms and APIs deployed to the mobility ecosystem. The position will be ... computing Kubernetes Google Cloud Platform Cloud Run Google Cloud Platform PostgreSQL MongoDB IAM ...

Stefanini

Full Stack Developer

Dearborn, MI · On-site

Expert 3 Yrs. with Google Cloud Platform involve in design, deploy, and manage workloads on Google ... distributed computing, partitioning, and data lake/warehouse patterns. Expert 1+ years of ...

FastTek

Cloud Architect

Okemos, MI · On-site

$58.75 - $75/hr

In addition, AWS and Google cloud experience will be a big plus. * The Cloud Architect ... management and monitoring. * Our ideal candidates are familiar with the infrastructure and ...

Stefanini

Full Stack Developer

Dearborn, MI · On-site

Manage data storage and retrievals in applications by utilizing database technologies such as ... Google Cloud Platform, Cloud Computing, Data Analysis, Zero Trust, Spring Boot, Application ...

Apex Systems

Back-end Software Engineer

Dearborn, MI · On-site

Google Cloud Platform: Design, deploy, and manage workloads on Google Cloud Platform (Compute ... computing, partitioning, and data lake/warehouse patterns. (3+ years) * Artificial Intelligence ...

FastTek

Back-end Software Development Engineer

Dearborn, MI

$46.50 - $60.25/hr

... Cloud Computing, GitHub, SPRING, Spring Boot, Java, Kotlin * GCP - Experience building, deploying, and supporting backend applications on Google Cloud Platform, including use of managed services ...

FastTek Global

Cloud Architect #1063592

Okemos, MI · On-site

$140 - $180/hr

In addition, AWS and Google cloud experience will be a big plus. The Cloud Architect ... management and monitoring. Our ideal candidates are familiar with the infrastructure and ...

New

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Manager Quantum Computing Google information

What does a manager of quantum computing at Google do?

A Manager of Quantum Computing at Google leads teams focused on researching, developing, and implementing quantum computing technologies. This role involves overseeing projects that advance quantum algorithms, hardware, and software, as well as collaborating with scientists and engineers to drive innovation. The manager also sets strategic goals, mentors team members, and communicates progress to stakeholders. Their work helps Google stay at the forefront of quantum computing advancements.

How does a manager of quantum computing at Google typically collaborate with research teams and other departments?

As a Manager of Quantum Computing at Google, you will regularly coordinate with cross-functional teams, including software engineers, hardware specialists, and research scientists. Your role often involves facilitating communication between researchers developing quantum algorithms and engineers working on hardware implementation to ensure project alignment. You may also partner with other Google departments, such as cloud computing or AI, to integrate quantum solutions into broader company initiatives. This collaborative environment fosters innovation and provides opportunities to drive impactful projects from conception to deployment.

What are the key skills and qualifications needed to thrive as a manager of quantum computing at Google, and why are they important?

To thrive as a Manager, Quantum Computing at Google, you need a strong background in quantum physics, computer science, and leadership, often demonstrated by an advanced degree and relevant industry experience. Familiarity with quantum programming languages (such as Qiskit or Cirq), cloud platforms, and project management tools is typically required. Exceptional communication, problem-solving abilities, and team leadership skills set top candidates apart in this evolving field. These competencies are vital for driving innovation, guiding technical teams, and delivering impactful quantum solutions within a dynamic tech environment.

What are the most commonly searched types of Quantum Computing Google jobs in Michigan?

The most popular types of Quantum Computing Google jobs in Michigan are:

What cities in Michigan are hiring for Manager Quantum Computing Google jobs?

Cities in Michigan with the most Manager Quantum Computing Google job openings:

Manager Quantum Computing Google jobs near you

Software Engineer

Ford Motor Company

Redford, MI • On-site

Full-time

Re-posted 16 days ago

Ford Motor Company rating

7.6

Company rating: 7.6 out of 10

Based on 527 frontline employees who took The Breakroom Quiz

11th of 45 rated automakers

Job description

We are seeking an experienced Full-Stack Software Engineer to build the software ecosystem powering our next-generation AI Vision Systems. You will develop the "connective tissue" between high-performance machine learning models running on edge hardware and our Google Cloud-based analytics backend. This is a hands-on role for an engineer who is passionate about bringing AI out of the lab and into the real world.

Required Qualifications:

  • Experience: 3+ years of professional software engineering experience in a production environment.
  • Edge Development: Proven experience deploying software to edge computing hardware or IoT devices.
  • Backend Mastery: Strong proficiency in Python (required) and at least one other language (C++, Go, or Node.js).
  • Cloud Fluency: Experience building on Google Cloud Platform (GCP) or similar (AWS/Azure), specifically with managed database services.
  • Modern Frontend: Experience building responsive web applications with React or similar modern frameworks.

  • DevOps Basics: Familiarity using docker as the key configuration, build, and deploy mechanism, CI/CD pipelines and disciplined version control approach (GIT based)

Desired Skills:

  • Experience with OpenCV, TensorRT, or OpenVINO for vision optimization.
  • Familiarity with ML frameworks like PyTorch or TensorFlow.
  • Knowledge of industrial protocols (MQTT, WebSockets) for real-time data streaming.
  • A passion for "Agentic" workflows and continuous improvement.

Responsibilities:

  • Edge Software Integration: Develop and optimize software to deploy machine learning models on edge devices (NVIDIA Jetson/Thor), ensuring low-latency performance for real-time vision tasks.
  • Full-Stack API Development: Build scalable RESTful APIs and microservices (Python/C++) that allow edge devices to communicate seamlessly with cloud backends.
  • Data Architecture: Design and manage data pipelines using Google Cloud tools (BigQuery, Postgres) to handle real-time image/video data and model telemetry.
  • Web Interfaces: Create intuitive, high-performance web-based dashboards (React/TypeScript) for monitoring system health and visualizing AI-driven insights.
  • AI-Augmented Engineering: Heavily leverage Agentic AI tools and LLM-assisted workflows to accelerate development cycles and maintain high code quality.
  • Incremental and Iterative Delivery: Work with the team and key stakeholders to find and deliver product increments in an iterative way, taking reasonable risks, validating key hypothesis, and learning continuously
  • Cross-Functional Deployment: Collaborate with Data Scientists to containerize models (Docker/Kubernetes) and with Hardware Engineers to validate performance on the factory floor.

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