Mid Level Computer Vision Algorithm Engineer Jobs
Mid level computer vision algorithm engineer jobs go to engineers ready to own algorithm development end to end, make architecture decisions with limited oversight, and guide junior teammates on implementation. Openings are predominantly remote and hybrid across Electronics & Hardware, Automotive, and Manufacturing, with employers like Apple, Applied Materials, and KLA hiring at this level now.
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INTRODUCTION
Since 1965, Stoneridge has designed and manufactured advanced, award-winning technologies including driveline and transmission actuation systems, vision systems, emissions control systems, safety systems, and security and monitoring systems for vehicle OEMs in the commercial vehicle, automotive, off-highway and agricultural vehicle markets. We’re focused on the areas of greatest market need – both today and tomorrow. Our core products and technologies are aligned with industry megatrends including safety and security, vehicle intelligence, fuel efficiency and emissions. Join the Stoneridge Team as we continue to build upon our strong history and reputation for quality products to deliver innovative products and systems that address a need, exceed our customers’ expectations, and motivate our team.
Position Summary
The AI Algorithm Developer will work closely with our engineering teams to launch advanced AI features into Stoneridge’s award-winning product ‘MirrorEye’ and other Camera monitor edge systems. This role will also involve developing and deploying AI features on HiL systems for demo purposes. The system software solution will be included in multiple production projects for commercial vehicles and heavy machines worldwide. This role will focus on the deployment of AI features based on computer vision, machine learning, deep learning, Image stitching, object detection/tracking, etc. Additional responsibilities will include data collection, system simulation, data analysis and in-vehicle validation.
MAJOR RESPONSIBILITIES
- Work closely with algorithm developers and System / Software teams in the deployment of ADAS features.
- Design and optimize multimodal ADAS features based on computer vision, machine learning, and object tracking for commercial vehicles by integrating inputs from Camera, IMU, Radar, LiDAR, Wheel Odometry, GPS and Ultrasonic sensors where applicable, to enhance perception accuracy and robustness.
- Develop, deploy, and debug real-time, safety-critical embedded software in C/C++ and Python on diverse SoCs and MCUs, e.g. ARM based platforms with HW accelerators and GPUs.
- Develop models in RTMaps for data logging and implement ADAS features in same for demo purposes.
- Implement and benchmark computer vision algorithms using OpenCV, OpenVX, OpenCL and Vulkan on resource-constrained embedded platforms. Accelerate deep neural network inference for edge deployment using TensorRT, ONNX, and hardware-specific optimization techniques to meet real-time performance constraints.
- Author comprehensive technical documentation, validation reports, and calibration procedures, while leading technical reviews and contributing to IP generation initiatives.
- Contribute to the development of software compliant with functional safety (ISO26262) and cybersecurity (ISO/SAE21434) standards within an agile framework using Git, JIRA, and CI/CD pipelines.
- Work with System / Software teams to integrate and verify that developed features meet functional requirements on the embedded target environment.
- Define test methodology using DoE (Design of Experiments) and join in vehicle validation when needed. Perform data analysis with feature test logs and create test reports.
QUALIFICATIONS
- Master's degree in Robotics, Electrical Engineering, Computer Science, Mechanical Engineering or a related field with strong research and development experience in the AI area developing ADAS features.
- Knowledge and experience in data recording & analysis, requirement analysis, verification, customer interfacing and cooperation with other cross functional teams.
- Coding, modeling and simulation experience with Matlab/Simulink, C/C++, Python.
- Experience shipping Computer Vision and/or sensor fusion systems that fuse multiple data streams (Camera, IMU, GPS, LiDAR, Wheel Odometry) in production environments with high precision and low latency.
- At least 3 years of experience with the following:
- Programming experience in C/C++, Matlab/Simulink and Python.
- Working on ML Frameworks, libraries, data structures, data modelling, and software architecture.
- Working with embedded software.
- Working with OpenVX, OpenCV, OpenCL and edgeML frameworks.
- Working on ADAS components with Applied ML/computer vision.
Stoneridge is an Equal Employment Opportunity Employer. We do not discriminate against any applicant or employee based on race, color, religion, national origin, gender, age, sexual orientation, marital status, mental or physical disability, genetic information, veteran status or any other characteristic protected by the applicable laws in the countries we operate. Stoneridge also prohibits harassment of applicants or employees based on any of these protected categories.
INTRODUCTION
Since 1965, Stoneridge has designed and manufactured advanced, award-winning technologies including driveline and transmission actuation systems, vision systems, emissions control systems, safety systems, and security and monitoring systems for vehicle OEMs in the commercial vehicle, automotive, off-highway and agricultural vehicle markets. We’re focused on the areas of greatest market need – both today and tomorrow. Our core products and technologies are aligned with industry megatrends including safety and security, vehicle intelligence, fuel efficiency and emissions. Join the Stoneridge Team as we continue to build upon our strong history and reputation for quality products to deliver innovative products and systems that address a need, exceed our customers’ expectations, and motivate our team.
Position Summary
The AI Algorithm Developer will work closely with our engineering teams to launch advanced AI features into Stoneridge’s award-winning product ‘MirrorEye’ and other Camera monitor edge systems. This role will also involve developing and deploying AI features on HiL systems for demo purposes. The system software solution will be included in multiple production projects for commercial vehicles and heavy machines worldwide. This role will focus on the deployment of AI features based on computer vision, machine learning, deep learning, Image stitching, object detection/tracking, etc. Additional responsibilities will include data collection, system simulation, data analysis and in-vehicle validation.
MAJOR RESPONSIBILITIES
- Work closely with algorithm developers and System / Software teams in the deployment of ADAS features.
- Design and optimize multimodal ADAS features based on computer vision, machine learning, and object tracking for commercial vehicles by integrating inputs from Camera, IMU, Radar, LiDAR, Wheel Odometry, GPS and Ultrasonic sensors where applicable, to enhance perception accuracy and robustness.
- Develop, deploy, and debug real-time, safety-critical embedded software in C/C++ and Python on diverse SoCs and MCUs, e.g. ARM based platforms with HW accelerators and GPUs.
- Develop models in RTMaps for data logging and implement ADAS features in same for demo purposes.
- Implement and benchmark computer vision algorithms using OpenCV, OpenVX, OpenCL and Vulkan on resource-constrained embedded platforms. Accelerate deep neural network inference for edge deployment using TensorRT, ONNX, and hardware-specific optimization techniques to meet real-time performance constraints.
- Author comprehensive technical documentation, validation reports, and calibration procedures, while leading technical reviews and contributing to IP generation initiatives.
- Contribute to the development of software compliant with functional safety (ISO26262) and cybersecurity (ISO/SAE21434) standards within an agile framework using Git, JIRA, and CI/CD pipelines.
- Work with System / Software teams to integrate and verify that developed features meet functional requirements on the embedded target environment.
- Define test methodology using DoE (Design of Experiments) and join in vehicle validation when needed. Perform data analysis with feature test logs and create test reports.
QUALIFICATIONS
- Master's degree in Robotics, Electrical Engineering, Computer Science, Mechanical Engineering or a related field with strong research and development experience in the AI area developing ADAS features.
- Knowledge and experience in data recording & analysis, requirement analysis, verification, customer interfacing and cooperation with other cross functional teams.
- Coding, modeling and simulation experience with Matlab/Simulink, C/C++, Python.
- Experience shipping Computer Vision and/or sensor fusion systems that fuse multiple data streams (Camera, IMU, GPS, LiDAR, Wheel Odometry) in production environments with high precision and low latency.
- At least 3 years of experience with the following:
- Programming experience in C/C++, Matlab/Simulink and Python.
- Working on ML Frameworks, libraries, data structures, data modelling, and software architecture.
- Working with embedded software.
- Working with OpenVX, OpenCV, OpenCL and edgeML frameworks.
- Working on ADAS components with Applied ML/computer vision.
Stoneridge is an Equal Employment Opportunity Employer. We do not discriminate against any applicant or employee based on race, color, religion, national origin, gender, age, sexual orientation, marital status, mental or physical disability, genetic information, veteran status or any other characteristic protected by the applicable laws in the countries we operate. Stoneridge also prohibits harassment of applicants or employees based on any of these protected categories.
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Mid Level Computer Vision Algorithm Engineer Jobs: Frequently Asked Questions
How do I get a mid level computer vision algorithm engineer job?
Position your existing work around ownership and results, not just participation. Highlight projects where you led the algorithm design, improved model performance by a measurable margin, or solved a production-level computer vision problem without heavy supervision. Tailor your application to show depth in a core area, such as object detection, image segmentation, or 3D reconstruction, since mid level roles expect specialization alongside general competence.
Which companies hire mid level computer vision algorithm engineers?
Companies hiring mid level computer vision algorithm engineers right now include Apple, Applied Materials, and KLA, based on current listings on Migrate Mate as of November 2026. At this level, hiring comes from a mix of autonomous systems startups, defense contractors, medical imaging firms, and large technology companies building perception pipelines for robotics, surveillance, or consumer devices.
Are there remote mid level computer vision algorithm engineer jobs?
Yes, though availability varies by employer and project type. About 0% of mid level computer vision algorithm engineer openings are remote or hybrid as of November 2026, reflecting strong demand for engineers who can deliver independently. Some roles requiring specialized hardware access, such as sensor calibration or embedded deployment, skew more toward on-site arrangements.
How do I move up to a mid level computer vision algorithm engineer role?
Moving into a mid level computer vision algorithm engineer role comes from building a record of independent contribution over your early career. That means going beyond running experiments to owning the full pipeline, from data preprocessing and model selection through evaluation and deployment. Engineers who demonstrate measurable improvements, contribute to technical decisions, and take on scope without being directed tend to reach mid level within a few years of consistent, focused work.
Which industries hire the most mid level computer vision algorithm engineers?
Mid Level computer vision algorithm engineer roles concentrate in Electronics & Hardware, Automotive, and Manufacturing, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because they deploy computer vision in high-stakes, production environments where engineers must own algorithm reliability, not just prototype solutions.