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Senior Computer Engineer Jobs in Detroit, MI (NOW HIRING)

Stellantis

Sr. Staff SoC BSW Core Engineer

Auburn Hills, MI · On-site

$113K - $149K/yr

We are seeking a Sr. Staff SoC BSW Core Engineer - Middleware, IPC Stacks to join the Base Software ... Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related ...

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Senior Computer Engineer information

See Detroit, MI salary details

$54.4K

$115.8K

$167.9K

How much do senior computer engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for senior computer engineer in Detroit, MI is $115,798.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,600.00 and $131,300.00 per year, depending on experience, location, and employer.

What is a senior computer engineer?

Senior Computer Engineers are experienced professionals who design, develop, and maintain computer hardware and software systems. They often lead engineering teams, oversee complex projects, and ensure that systems meet organizational requirements for performance and security. Their work may include developing new technologies, optimizing existing systems, and mentoring junior engineers. Senior Computer Engineers typically have several years of experience and a strong background in computer science or engineering.

What are the key skills and qualifications needed to thrive as a senior computer engineer?

To thrive as a Senior Computer Engineer, you need advanced knowledge of computer architecture, hardware and software integration, and a relevant degree in computer engineering or a related field. Familiarity with design tools like CAD software, programming languages (such as C/C++ or Python), and industry certifications (like Cisco or CompTIA) is highly beneficial. Leadership, problem-solving, and effective communication are crucial soft skills for managing projects and mentoring junior engineers. These competencies ensure the successful development, troubleshooting, and optimization of complex computing systems, driving innovation and efficiency in technology solutions.

What are some typical challenges faced by senior computer engineers when leading project teams?

Senior Computer Engineers often encounter challenges such as balancing technical leadership with hands-on development work, managing cross-functional team communication, and ensuring that projects stay on schedule. They are responsible for translating high-level requirements into actionable tasks while mentoring junior engineers and resolving technical roadblocks. Effective time management and strong collaboration skills are key, as they frequently coordinate between engineering, product management, and other stakeholders to deliver complex systems on time.

What are the most commonly searched types of Computer Engineer jobs in Detroit, MI?

The most popular types of Computer Engineer jobs in Detroit, MI are:

What cities near Detroit, MI are hiring for Senior Computer Engineer jobs?

Cities near Detroit, MI with the most Senior Computer Engineer job openings:

Senior Computer Engineer jobs near you
Infographic showing various Senior Computer Engineer job openings in Detroit, MI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $125,287 per year, or $60.2 per hour.

Senior Machine Learning Engineer (Computer Vision & AI)

faurecia S.A.

Auburn Hills, MI • On-site

$100 - $130/hr

Other

Posted 18 days ago

Job description

Forvia, a sustainable mobility technology leaderRole Summary

As a Senior Machine Learning Engineer, you will play a key role in developing and deploying advanced AI solutions that drive innovation across our automotive products and manufacturing processes. This role is focused on applied machine learning, with an emphasis on computer vision, predictive analytics, and scalable model deployment. You will partner with cross‑functional teams across engineering, manufacturing, and R&D to design, build, and productionize machine learning models that deliver measurable business impact. This is a hands‑on role requiring strong technical depth, ownership of model lifecycle, and the ability to operate effectively in a fast‑paced, evolving environment.

Key Responsibilities
  • Design, develop and deploy machine learning models with a focus on computer vision, predictive maintenance and anomaly detection
  • Build and maintain end‑to‑end ML pipelines, including data preprocessing, model training, evaluation and deployment
  • Collaborate with engineering, manufacturing and business stakeholders to translate real‑world problems into scalable AI solutions
  • Optimize model performance and scalability using GPU acceleration and parallel computing frameworks
  • Leverage Python and deep learning frameworks (PyTorch, TensorFlow) to implement production‑ready solutions
  • Partner with data and software engineering teams to integrate models into production systems and workflows
  • Contribute to AI innovation initiatives, including exploration of generative AI use cases in design and engineering contexts
  • Ensure best practices in model reproducibility, documentation and performance monitoring
  • Stay current with advancements in machine learning and apply relevant techniques to improve existing capabilities
Your Profile & Competencies
  • Master’s or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field
  • 5+ years (preferably 7+) of hands‑on experience in machine learning or applied AI roles
  • Strong expertise in machine learning and deep learning, with practical experience in computer vision applications
  • Proficiency in Python and modern ML frameworks such as PyTorch or TensorFlow
  • Experience building and deploying models in production environments
  • Familiarity with GPU acceleration (CUDA or similar frameworks) and performance optimization techniques
  • Experience with ML pipelines, model lifecycle management and scalable system design
  • Ability to work effectively in matrixed, cross‑functional environments
  • Strong problem‑solving and analytical skills, with the ability to translate complex data into actionable insights
  • Effective communicator, able to explain technical concepts to non‑technical stakeholders
  • Experience in automotive, manufacturing or industrial environments is a strong plus
  • Familiarity with cloud platforms (e.g., Azure) and Agile development practices is preferred
What we can do for you
  • We provide an engaging and dynamic environment where you can contribute to the development of sustainable mobility leading technologies.
  • Our company is the seventh‑largest global automotive supplier, offering ample opportunities for career development.
  • We welcome energetic and agile people who can thrive in a fast‑changing environment and share our strong values.
  • We cultivate a learning environment, dedicating tools and resources to ensure we remain at the forefront of mobility. Our people enjoy an average of more than 22 hours of online and in‑person training within FORVIA University.
  • We offer a multicultural environment that values diversity and international collaboration and have adopted gender diversity targets and inclusion action plans.
  • We are committed to achieving CO2 Net Zero. In June2022, Forvia became the first global automotive group to be certified with the new SBTI Net‑Zero Standard.
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