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Performance Monitoring Engineer Jobs in Detroit, MI

Monitor and control budget, scheduling of mechanical, controls and software designs of all ... Select, train, develop and motivate a staff that meets or exceeds performance expectations.

Safety Performance Monitoring & Measurement * Establish and maintain the company's Safety ... Champion a non-punitive, just safety culture across engineering, operations, and fleet management ...

Engineering Manager

Commerce, MI · On-site

$130K - $145K/yr

Monitor and control budget, scheduling of mechanical, controls and software designs of all ... Select, train, develop and motivate a staff that meets or exceeds performance expectations.

Monitor and control budget, scheduling of mechanical, controls and software designs of all ... Select, train, develop and motivate a staff that meets or exceeds performance expectations.

Monitor and control budget, scheduling of mechanical, controls and software designs of all ... Select, train, develop and motivate a staff that meets or exceeds performance expectations.

Engineering Manager

Canton, MI · On-site

$130K - $145K/yr

Monitor and control budget, scheduling of mechanical, controls and software designs of all ... Select, train, develop and motivate a staff that meets or exceeds performance expectations.

Engineering Manager

Farmington Hills, MI · On-site

$130K - $145K/yr

Monitor and control budget, scheduling of mechanical, controls and software designs of all ... Select, train, develop and motivate a staff that meets or exceeds performance expectations.

... performance monitoring, negotiation, and continuous improvement activities * - Handle RFQ, PO ... Qualifications * - Bachelor's degree in business, Supply Chain, Engineering, or related field ...

Showing results 41-60

Performance Monitoring Engineer information

See Detroit, MI salary details

$10

$59

$97

How much do performance monitoring engineer jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for performance monitoring engineer in Detroit, MI is $59.50, according to ZipRecruiter salary data. Most workers in this role earn between $48.80 and $67.36 per hour, depending on experience, location, and employer.

How does a performance monitoring engineer typically collaborate with development and operations teams to resolve system issues?

Performance Monitoring Engineers play a crucial liaison role between development and operations teams. When system performance anomalies or bottlenecks are detected, these engineers provide detailed reports and real-time metrics, enabling developers to identify root causes and operations to implement timely fixes. They often participate in cross-functional meetings, sharing insights and recommendations to optimize applications and infrastructure. This collaborative approach ensures that performance issues are addressed proactively and that both teams are aligned on resolution strategies.

What is the difference between Performance Monitoring Engineer vs Network Operations Engineer?

AspectPerformance Monitoring EngineerNetwork Operations Engineer
Primary FocusMonitoring and analyzing system performance metricsManaging and maintaining network infrastructure
CertificationsNetwork+, CCNA, or similarCCNA, Network+, or similar
Work EnvironmentData centers, IT departments, cloud environmentsNetwork operation centers, enterprise networks
Industry UsageIT, telecommunications, cloud servicesTelecommunications, enterprise IT

While both roles involve network and system knowledge, the Performance Monitoring Engineer primarily focuses on analyzing system performance data to optimize operations, whereas the Network Operations Engineer manages the day-to-day network infrastructure and troubleshooting. Understanding these differences helps in choosing the right career path or job search focus.

What does a performance monitoring engineer do?

A Performance Monitoring Engineer is responsible for tracking, analyzing, and optimizing the performance of systems, applications, or networks within an organization. They use specialized tools to identify bottlenecks, monitor system health, and ensure that performance standards are met. Their work helps to prevent downtime, improve user experience, and support overall business objectives. Performance Monitoring Engineers often collaborate with IT teams to implement solutions and maintain optimal system functionality.

What skills and qualifications are needed to thrive as a performance monitoring engineer?

To thrive as a Performance Monitoring Engineer, you need a solid background in computer science or IT, strong analytical skills, and experience with system performance analysis. Familiarity with monitoring tools like Nagios, Dynatrace, or New Relic, as well as knowledge of scripting languages and performance testing frameworks, is typically required. Excellent problem-solving abilities, communication, and attention to detail are crucial soft skills for this role. These skills and qualities ensure proactive identification and resolution of system bottlenecks, maintaining optimal application and infrastructure performance.
What are popular job titles related to Performance Monitoring Engineer jobs in Detroit, MI? For Performance Monitoring Engineer jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Performance Monitoring Engineer jobs in Detroit, MI look for? The top searched job categories for Performance Monitoring Engineer jobs in Detroit, MI are:

Senior Machine Learning Engineer (Computer Vision & AI)

Faurecia

Auburn Hills, MI • On-site

$115K - $152K/yr

Full-time

Re-posted 20 days ago


Faurecia rating

5.9

Company rating: 5.9 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

Forvia, a sustainable mobility technology leader We pioneer technology for mobility experience that matter to people. Your mission, roles and responsibilities Role 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 and competencies to succeed 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 At Forvia, you will find an engaging and dynamic environment where you can contribute to the development of sustainable mobility leading technologies

We are the seventh-largest global automotive supplier, employing more than 157,000 people in more than 40 countries which makes a lot of opportunity for career development. We welcome energetic and agile people who can thrive in a fast-changing environment. People who share our strong values.

Team players with a collaborative mindset and a passion to deliver high standards for our clients. Lifelong learners. High performers.

Globally minded people who aspire to work in a transforming industry, where excellence, speed, and quality count. 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 (five campuses around the world) We offer a multicultural environment that values diversity and international collaboration.

We believe that diversity is a strength. To create an inclusive culture where all forms of diversity create real value for the company, we have adopted gender diversity targets and inclusion action plans. Achieving CO2 Net Zero as a pioneer of the automotive industry is a priority: In June 2022, Forvia became the first global automotive group to be certified with the new SBTI Net-Zero Standard (the most ambitious standard of SBTi), aligned with the ambition of the 2015 Paris Agreement of limiting global warming to 1.5C

Three principles guide our action:use less, use betteranduse longer, with a focus on recyclability and circular economy. Why join us FORVIA is an automotive technology group at the heart of smarter and more sustainable mobility. We bring together expertise in electronics, clean mobility, lighting, interiors, seating, and lifecycle solutions to drive change in the automotive industry.

With a history stretching back more than a century, we are the 7th largest global automotive supplier, employing more than 157,000 people in 43 countries. You'll find our technology in around 1 out of 2 vehicles produced anywhere in the world. In June 2022, we became the 1st global automotive group to be certified with the SBTI Net-Zero Standard.

We have committed to reach CO2 Net Zero by no later than 2045. As technological innovation and the need for sustainability transform the automotive industry, we are ideally positioned to deliver solutions that will enhance the lives of road-users everywhere.


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