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Nvidia Machine Learning Jobs in Michigan (NOW HIRING)

Ford Motor Company

Software Engineer

Redford, MI

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 ...

Utilidata

Software Engineer, On Device

Ann Arbor, MI

$120K - $150K/yr

This edge software includes machine learning, optimization algorithms, and components that host ... NVIDIA ML software stack on the Jetson Platform * Experience with system integration testing ...

Faurecia

AI Solutions Architect

Auburn Hills, MI · On-site

$59.50 - $78.50/hr

... NVIDIA, and other solution partners Key Areas of Focus Industrial AI AI-powered quality inspection ... machine learning, computer vision, or digital transformation solutions in a manufacturing ...

Faurecia

AI Solutions Architect

Auburn Hills, MI · On-site

$59.50 - $78.50/hr

Serve as a technical liaison with AI technology providers including Microsoft, NVIDIA, and other ... machine learning, computer vision, or digital transformation solutions in a manufacturing ...

All JobsNvidia Machine Learning JobsNvidia Machine Learning Jobs in Michigan

Nvidia Machine Learning information

See Michigan salary details

$22.2K

$37.1K

$76.7K

How much do nvidia machine learning jobs pay per year?

As of Sep 2, 2026, the average yearly pay for nvidia machine learning in Michigan is $37,116.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,300.00 and $40,100.00 per year, depending on experience, location, and employer.

What is a Nvidia machine learning job?

A Nvidia Machine Learning job involves developing and optimizing AI models, deep learning frameworks, and GPU-accelerated applications. Engineers in this role work on cutting-edge research, building scalable ML solutions, and improving performance on Nvidia hardware like GPUs and AI accelerators. They collaborate with software and hardware teams to enhance AI capabilities across industries such as gaming, healthcare, and autonomous systems. Strong coding skills in Python, C++, and experience with ML frameworks like TensorFlow or PyTorch are often required.

What are the key skills and qualifications needed to thrive in the Nvidia machine learning position?

To thrive in an Nvidia Machine Learning role, a deep understanding of machine learning algorithms, proficiency in programming languages like Python or C++, and a solid background in mathematics or computer science are essential. Experience with Nvidia's CUDA, TensorRT, cuDNN, and familiarity with modern deep learning frameworks such as TensorFlow or PyTorch are highly valued, as are relevant certifications in AI or data science. Strong problem-solving skills, teamwork, and effective communication distinguish top candidates in collaborative, fast-paced environments. These skills are crucial for developing and optimizing AI solutions that leverage Nvidia’s advanced hardware and software platforms.

What are some common challenges faced by professionals in Nvidia machine learning roles?

One common challenge in Nvidia Machine Learning roles is optimizing models to fully leverage GPU architectures for both performance and efficiency, which requires continuous learning as the technology rapidly evolves. Team members often work on complex, large-scale projects that demand close collaboration across software, hardware, and research divisions. Navigating the fast pace of innovation and contributing effectively to cross-functional teams is essential for success. However, these challenges also make the role exciting and offer excellent opportunities for professional growth and hands-on experience with state-of-the-art AI solutions.

What are the most commonly searched types of Nvidia Machine Learning jobs in Michigan?

The most popular types of Nvidia Machine Learning jobs in Michigan are:

What are popular job titles related to Nvidia Machine Learning jobs in Michigan?

For Nvidia Machine Learning jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Nvidia Machine Learning jobs in Michigan look for?

The top searched job categories for Nvidia Machine Learning jobs in Michigan are:

Nvidia Machine Learning jobs near you
Infographic showing various Nvidia Machine Learning job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 22% Part Time, 2% Temporary, 2% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $37,116 per year, or $17.8 per hour.

Software Engineer

Ford Motor Company

Redford, MI

Full-time

Re-posted 12 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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