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Radar Engineer Jobs in Michigan (NOW HIRING)

Systems Engineer

Ypsilanti, MI · On-site

$86K - $181K/yr

CACI/Space's Radar and Sensor Technologies group is seeking a systems engineer to support one of our primary programs working with the US Government to understand and define requirements for our ...

Sr Research Engineer-RF

Ann Arbor, MI · On-site

$130K - $194K/yr

Relevant sensor types include electro-optic/infrared and active/passive radar imaging systems. Most ... Collaboration with engineers across different domains, including: mechanical, optical, digital

Systems Engineer

Ypsilanti, MI · On-site

$72K - $148K/yr

CACI/Space's Radar and Sensor Technologies group is seeking a systems engineer to support one of our primary programs working with the US Government to understand and define requirements for our ...

Sr Research Engineer-RF

Ann Arbor, MI · On-site

$130K - $194K/yr

Relevant sensor types include electro-optic/infrared and active/passive radar imaging systems. Most ... Collaboration with engineers across different domains, including: mechanical, optical, digital

Sr Research Engineer-RF

Ann Arbor, MI · On-site

$130K - $194K/yr

Relevant sensor types include electro-optic/infrared and active/passive radar imaging systems. Most ... Collaboration with engineers across different domains, including: mechanical, optical, digital

Showing results 41-60

Radar Engineer information

See Michigan salary details

$67.1K

$70.2K

$72.3K

How much do radar engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for radar engineer in Michigan is $70,163.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,900.00 and $71,500.00 per year, depending on experience, location, and employer.

What does a radar engineer do?

A radar engineer works to design, enhance, or test the accuracy of radar systems. In this career, your duties vary depending on the industry. You may develop radar for weather forecast or tracking purposes, or you could work for the military or a private company in the defense industry. Regardless of your employer, your responsibilities as a radar engineer focus on the technical aspects of a radar system, such as testing of sensor instrument devices or the creation of an algorithm to continuously ensure accuracy and give users control of how they view the system’s data.

What does a radar engineer do?

A Radar Engineer designs, develops, tests, and maintains radar systems used for detecting and tracking objects such as aircraft, ships, or weather formations. They work with both hardware and software components to ensure radar systems function accurately and reliably. Their responsibilities often include signal processing, system integration, and troubleshooting technical issues. Radar Engineers are employed in industries such as defense, aerospace, meteorology, and automotive safety systems.

How much would a radar engineer make?

Radar engineers typically earn a median annual salary of around $100,000, with salaries ranging from approximately $70,000 to over $130,000 depending on experience, education, and location. Advanced skills in signal processing, systems design, and security clearances can lead to higher compensation.

What are some typical challenges radar engineers face when working on new radar system designs?

Radar Engineers often encounter challenges such as balancing performance requirements with size, weight, and power constraints, especially when designing systems for aerospace or defense applications. Integrating the latest signal processing techniques while ensuring system reliability and meeting strict regulatory standards can also be complex. Additionally, Radar Engineers regularly collaborate with multidisciplinary teams—including software developers, hardware engineers, and project managers—to troubleshoot issues and implement innovative solutions throughout the development cycle.

What are the key skills and qualifications needed to thrive as a radar engineer, and why are they important?

To thrive as a Radar Engineer, you need a solid background in electrical engineering, signal processing, and electromagnetics, usually supported by a relevant engineering degree. Familiarity with simulation software (like MATLAB or CST), hardware testing tools, and industry-specific certifications such as those from IEEE are commonly required. Strong analytical thinking, problem-solving, and effective teamwork distinguish top performers in this role. These skills are crucial for designing, optimizing, and troubleshooting radar systems that meet stringent performance and safety standards.

What is the difference between Radar Engineer vs RF Engineer?

AspectRadar EngineerRF Engineer
Required CredentialsBachelor's or higher in Electrical Engineering, specialized training in radar systemsBachelor's or higher in Electrical or Electronics Engineering, RF design certifications
Work EnvironmentDefense, aerospace, military, or research labsTelecommunications, wireless, consumer electronics industries
Industry UsageDesign and development of radar systems and sensorsDesign and testing of radio frequency components and systems

Radar Engineers focus on designing and developing radar systems used in defense, aerospace, and research. RF Engineers work on radio frequency components for wireless and communication devices. While both roles require knowledge of RF principles, Radar Engineers specialize in radar-specific technologies, whereas RF Engineers have a broader focus on RF systems across various industries.

What are the most commonly searched types of Radar Engineer jobs in Michigan? The most popular types of Radar Engineer jobs in Michigan are:
What are popular job titles related to Radar Engineer jobs in MI? For Radar Engineer jobs in MI, the most frequently searched job titles are:
Infographic showing various Radar Engineer job openings in Michigan as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $70,163 per year, or $33.7 per hour.

Autonomous Driving Senior Vehicle Perception Engineer

Quest Global

Northville, MI • On-site

$95K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago


Quest Global rating

7.8

Company rating: 7.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

238th of 441 rated engineering


Job description

Job Requirements
Quest Global delivers world-class end-to-end engineering solutions by leveraging our deep industry knowledge and digital expertise. By bringing together technologies and industries, alongside the contributions of diverse individuals and their areas of expertise, we are able to solve problems better, faster. This multi-dimensional approach enables us to solve the most critical and large-scale challenges across the aerospace & defense, automotive, energy, hi-tech, healthcare, medical devices, rail and semiconductor industries.
We are looking for humble geniuses, who believe that engineering has the potential to make the impossible possible; innovators, who are not only inspired by technology and innovation, but also perpetually driven to design, develop, and test as a trusted partner for Fortune 500 customers. As a team of remarkably diverse engineers, we recognize that what we are really engineering is a brighter future for us all. If you want to contribute to meaningful work and be part of an organization that truly believes when you win, we all win, and when you fail, we all learn, then we're eager to hear from you. The achievers and courageous challenge-crushers we seek, have the following characteristics and skills
What You will Do:
  • Design and implement advanced perception algorithms for autonomous vehicles using LiDAR, cameras, radar, and GNSS.
  • Develop and optimize sensor fusion techniques to combine data from multiple sensors, improving the accuracy and reliability of perception systems.
  • Create algorithms for object detection, tracking, semantic segmentation, and classification from 3D point clouds (LiDAR) and camera data.
  • Work on Simultaneous Localization and Mapping (SLAM) algorithms, including Graph SLAM, LIO-SAM, and visual-inertial SLAM.
  • Develop sensor calibration techniques (intrinsic and extrinsic) and coordinate transformations between sensors.
  • Participate in real-time systems design and optimization to meet the high-performance requirements of autonomous driving.
  • Work with ROS2 for integration and deployment of perception algorithms.
  • Develop, test, and deploy machine learning models for perception tasks such as object detection and segmentation.
  • Collaborate with cross-functional teams, including software engineers, data scientists, and hardware teams, to deliver end-to-end solutions.
  • Stay up-to-date with industry trends and emerging technologies to innovate and improve perception systems.

What You Will Bring:
  • Minimum 3+ years of experience in sensor calibration, multi-sensor fusion, or related domains.
  • Strong foundation in linear algebra, 3D geometry, coordinate frames, quaternions, probability, Bayesian filtering, and data association.
  • Hands-on experience with intrinsic and extrinsic calibration of LiDAR, cameras, and radar, including geometric calibration, coordinate transforms, and sensor synchronization.
  • Proven experience with perception algorithms for autonomous systems, particularly in the areas of LiDAR, camera, radar, GNSS, or other sensor modalities.
  • Deep understanding of LiDAR technology, point cloud data structures, and processing techniques; experience with PCL or Open3D.
  • Proficiency in sensor fusion for combining data from LiDAR, camera, radar, and GNSS, including handling time synchronization and motion distortion.
  • Solid background in computer vision techniques; experience with OpenCV and object detection models such as YOLO, Faster R-CNN, or SSD.
  • Experience with deep learning frameworks (TensorFlow or PyTorch) for object detection and segmentation tasks.
  • Hands-on experience with multi-object tracking algorithms such as SORT, DeepSORT, Kalman Filters, UKF, IMM, or JPDA.
  • Strong programming skills in C++ and Python; familiarity with geometric optimization libraries.
  • Familiarity with ROS2 for perception-based autonomous systems development.
  • Experience with parallel computing for real-time performance optimization (e.g., CUDA, OpenCL).

Pay Range: $95,000-$140,000 a year
Compensation decisions are made based on factors including experience, skills, education, and other job-related factors, in accordance with our internal pay structure. We also offer a comprehensive benefits package, including health insurance, paid time off, and retirement plan.
Work Requirements: This role is considered an on-site position located in Northville, MI, USA
  • You must be able to commute to and from the location with your own transportation arrangements to meet the required working hours.

Benefits
  • 401(k) matching
  • Dental insurance
  • Health insurance
  • Paid time off
  • Vision insurance
  • Employer paid Life Insurance, Short- & Long-Term Disability

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