Senior Perception Engineer

StoneridgeNovi, MI
Hybrid

About The Position

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. Stoneridge, Inc. seeks Senior Perception Engineer in Novi, MI.

Requirements

  • Master's degree in Robotics, Electrical Engineering, Computer Science, Mechanical Engineering or a related field
  • 3 years of experience in related occupations
  • 3 years of experience with Programming experience in C, C++, and Python
  • 3 years of experience Working on ML Frameworks, libraries, data structures, data modelling, and software architecture
  • 3 years of experience Working with embedded software
  • 3 years of experience Working with ARM Architecture, Image/signal processors, and algorithms
  • 3 years of experience Working in OpenVX, OpenCV and OpenGL
  • 3 years of experience Working on ADAS components
  • 1 year of experience in Camera sensor development
  • Authority to work permanently in the U.S.

Responsibilities

  • Architect conceptual designs for commercial vehicle perception systems, collaborating cross-functionally with Advanced Development and Hardware teams to define sensor placement, thermal constraints, and ECU requirements.
  • Design and optimize multimodal ADAS features for commercial trucks by integrating inputs from camera, radar, LiDAR, and ultrasonic sensors 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, including ARM Cortex, NVIDIA Jetson, and TI Jacinto.
  • Configure and optimize low-level software environments, including RTOS, vendor SDKs, and IDEs, to ensure fault-tolerant operation of sensor-based perception systems.
  • Implement and benchmark computer vision algorithms using OpenCV, OpenVX, and Vulkan for both machine and human vision pipelines 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.
  • Engineer and execute the full lifecycle of sensor integration, including hardware bring-up, calibration, sensor fusion algorithm implementation, and ISP pipeline tuning for optimal image quality.
  • 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.
  • Author comprehensive technical documentation, validation reports, and calibration procedures, while leading technical reviews and contributing to patent generation initiatives.
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