DAT In-House Perception Algorithm Engineer
Core
Develop and test perception algorithms and applications (computer vision, object detection, AI/ML) for embedded DAT sensing systems on current and future DAT ECUs.
Role type
In-house Perception Algorithm Engineer
Builds
Embedded software and algorithms for DAT sensing applications
Domain
Automotive / Autonomous Driving Systems (ADAS)
Deliverable
production ML models
Required skills
C++ for embedded systems, machine learning, computer vision, LiDAR/Radar/USS/Camera sensor integration, ADAS vehicle testing, data processing and validation, MISRA C++ standards, CI/CD pipelines, Git, CMake, JIRA
Preferred skills
Root cause analysis, performance KPI design, Agile methodologies
Technologies
C++, CMake, Google Test, JIRA, Git
Responsibilities
Develop and integrate ADAS algorithms in C++ for embedded systems; Apply machine learning and computer vision techniques to design perception-focused ADAS solutions; Conduct ADAS vehicle testing including data logging and embedded board validation; Perform data processing and analysis to support continuous improvement; Implement CI/CD pipelines for automated builds and testing; Develop and maintain test matrices and performance KPIs; Collaborate with hardware and research teams to design holistic DAT sensing functions.
Seniority
Mid-level (2+ years experience)
