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Sensor Algorithm Engineer Jobs in Southfield, MI

Megan soft Inc

AI Engineer (W2 Position)

Dearborn, MI · On-site

$50 - $55/hr

Understand business requirements and develop AI algorithms, models and programs to solve complex ... sensor data (images, sound), orchestrate automation and enable self-service capabilities * Perform ...

Tata Consultancy Services

AI Researcher

Detroit, MI · On-site

... algorithms that power autonomous robots, humanoids, and intelligent machines ... From visual perception and SLAM to multimodal sensor fusion and reinforcement learning, you'll be ...

CACI International, Inc.

Software Engineer

Ypsilanti, MI · On-site

$69K - $141K/yr

CACI's Radar and Sensor Technologies group is seeking aspiring engineers, signals analysts, and physicists to join our team to support the development of algorithms and software related to synthetic ...

Ford Motor Company

ADAS Software Engineer

Dearborn, MI

$138K - $171K/yr

... algorithms for automotive features and tooling using sensor data camera, radar, and lidar inputs ... ADAS Software Engineer - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this ...

CACI International, Inc.

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 ... Take algorithm definitions and prototypes and convert them into robust software applications.

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All JobsSensor Algorithm Engineer JobsSensor Algorithm Engineer Jobs in Southfield, MI

Sensor Algorithm Engineer information

See Southfield, MI salary details

$54.6K

$102.4K

$186.2K

How much do sensor algorithm engineer jobs pay per year?

As of Jul 10, 2026, the average yearly pay for sensor algorithm engineer in Southfield, MI is $102,407.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,800.00 and $121,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Sensor Algorithm Engineer, and why are they important?

To thrive as a Sensor Algorithm Engineer, you need a strong background in signal processing, sensor physics, and applied mathematics, often supported by a degree in electrical engineering, computer science, or a related field. Familiarity with programming languages such as Python or C++, tools like MATLAB, and experience with sensor data fusion systems are typically required. Strong analytical thinking, problem-solving, and effective communication skills help you collaborate across multidisciplinary teams and interpret complex data. These skills are essential to develop robust algorithms that ensure accurate sensor performance and drive innovation in fields like automotive, robotics, and consumer electronics.

What does a Sensor Algorithm Engineer do?

A Sensor Algorithm Engineer designs, develops, and tests algorithms that process data from various sensors, such as cameras, accelerometers, gyroscopes, or environmental sensors. Their work involves creating mathematical models and software to interpret sensor data for applications like robotics, autonomous vehicles, mobile devices, or IoT systems. They collaborate with hardware engineers and software developers to ensure accurate and reliable sensor performance. The role often requires expertise in signal processing, machine learning, and embedded systems.

What is the difference between Sensor Algorithm Engineer vs Signal Processing Engineer?

AspectSensor Algorithm EngineerSignal Processing Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Computer Science, or related fields; knowledge of sensor systemsBachelor's or Master's in Electrical Engineering, Computer Science, or related fields; expertise in signal processing techniques
Work EnvironmentDevelops algorithms for sensors in automotive, consumer electronics, or industrial applicationsDesigns and implements signal processing algorithms across various industries including communications and audio
Employer & Industry UsageUsed by companies developing sensor-based systems like IoT devices, autonomous vehicles, and roboticsCommon in telecommunications, audio engineering, and image processing sectors

While both roles involve algorithm development and require similar educational backgrounds, Sensor Algorithm Engineers focus on creating algorithms specifically for sensor data interpretation, whereas Signal Processing Engineers work on processing signals from various sources, including sensors, for broader applications.

How does a Sensor Algorithm Engineer typically collaborate with hardware and software teams during product development?

Sensor Algorithm Engineers often serve as a bridge between hardware engineers and software developers. They work closely with hardware teams to understand sensor specifications and limitations while collaborating with software teams to integrate algorithms into embedded systems or applications. Regular cross-disciplinary meetings and iterative testing are common, ensuring that sensor data is accurately interpreted and that the algorithms perform reliably under real-world conditions. This collaborative environment helps drive innovation and ensures that final products meet both technical and user requirements.
Sensor Algorithm Engineer jobs near you
Senior Software Engineer, Calibration

Senior Software Engineer, Calibration

Torc Robotics

Ann Arbor, MI • On-site, Remote

$119K - $158K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Job description

About the Company
At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
Meet the Team
The Autonomous Driving Kit Component Enablement & Calibration (ADkit CE&E) team plays a vital role in ensuring the accuracy and reliability of perception systems across our autonomous vehicle platform.
We are currently seeking a Senior Software Engineer who is enthusiastic about thriving in a hands-on environment and ready to grow with the team and leading our way toward productization.
We develop, research and design scalable solutions to calibrate and configure the ADKit components to their peak operational possible state. We work with multi-modal sensors systems including cameras, Lidars, radars and IMU on real vehicles and Hardware-in-the-Loop systems to develop our best-in-class sensors spatial orientation. Our contribution directly supports the safety, performance, and robustness of autonomous driving capabilities.
We design adaptability into our software to support the wide range of ADkit sensor configuration needed to keep our truck generation operation on the path to productization. The team engages with diverse stakeholder, spanning from commercial partners to end customers, to reduce calibration related obstacle associated with adopting autonomous trucking.
Your role will make a significant impact on the future of trucking and autonomous technology as we look to Drive the Future of Freight.
What You'll Do
As a Senior Software Engineer on AdKit CE&C, you will be directly involved in bringing our software solution toward its long-term implementation. To successfully accomplish this, you would need to:
  • Own the design and architecture for a scalable sensor calibration pipeline in C++, leveraging available libraries (OpenCV, linear algebra libraries) for real-time and offline calibration.
  • Deep expertise in linear algebra to lead the design and implementation of spatial computational system for multi-modals sensor platforms. Apply advanced mathematical rigor using Lie groups, quaternions, and 3D transformations to ensure accurate spatial calibration.
  • Lead the development of specialized dedicated libraries allowing sensor-to-sensor extrinsic calibration (lidar-camera, imu-lidar, etc.) using multi-sensor targetless detections during robotics missions.
  • Experience with camera intrinsic and extrinsic calibration.
  • Drive the design and maintenance of simulation tools and data pipelines for sensor modeling, calibration validation, and large-scale regression testing.
  • Collaborate cross-functionally with perception, simulation, and platform teams to define calibration requirements, set best practices, and ensure robustness across hardware configurations and software releases.
  • Establish and maintain CI/CD-integrated calibration workflows using Docker, Bazel, and Git to enable reproducible, automated testing and deployment.
  • Lead deep-dive debugging and root-cause analysis of complex sensor alignment issues in vehicle logs and simulation using ROS tools, rviz, and custom visualization utilities.
  • Mentor junior engineers and contribute to technical reviews, fostering a culture of high-quality software design and code excellence.

What You'll Need to Succeed
  • Bachelor's Degree in Computer Science, Robotics, Electrical Engineering, or a related field with 5-7+ years of experience (or a Master's Degree with 3-5+ years of experience).
  • Proven expertise in Python and C++ for algorithm development, system design, and high-performance tooling.
  • Advanced experience with OpenCV, ROS, and numerical libraries for computer vision and robotics applications.
  • Deep understanding of multi-sensor calibration (camera, Lidar, IMU) in robotics or autonomous systems.
  • Strong mathematical foundation in 3D geometry, non-linear optimization, and matrix math, including SE(3) and SO(3) transformations.
  • Proficiency in Linux development, version control (Git), containerization (Docker), and build systems (Bazel).
  • Demonstrated experience designing scalable software architectures and leading technical initiatives.
  • Excellent problem-solving skills and ability to drive cross-team technical alignment.

Bonus Points!
  • Familiarity with non-linear least squares solvers (e.g., Ceres, g2o) and large-scale optimization.
  • Background in sensor simulation, synthetic data generation, or validation frameworks.
  • Prior contributions to ROS-based open-source calibration or robotics tools.
  • Experience influencing technical roadmaps and defining long-term software strategies.
  • Uses vim as a primary editor (yes, still really).
  • Willingness to travel occasionally.

Work Location: For this position, we are open to hiring in Ann Arbor, MI (U.S.) office work locations in a hybrid capacity. We are also open to hiring Remote in the United States.
Perks of Being a Full-time Torc'r
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
  • A competitive compensation package that includes a bonus component and stock options
  • 100% paid medical, dental, and vision premiums for full-time employees
  • 401K plan with a 6% employer matchFlexibility in schedule and generous paid vacation (available immediately after start date)Company-wide holiday office closures
  • AD+D and Life Insurance

At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.
Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
U.S Compensation Range: $160,000-193,000/yr
Job ID: 102610

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