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Key ResponsibilitiesTemporal Tracking & ModelingDesign and implement temporal tracking, modeling, filtering, and persistence logic for frame-level results generated by perception modulesDevelop algorithms to mitigate discontinuities, flickering, and false appearances/disappearances over time (e.g., lane discontinuities, traffic light state changes, occupancy fluctuations, unstable object states)Ensure temporal consistency considering observation omissions, uncertainty variations, and ego-motionRepresentation DesignStructure various sensor-based perception results for immediate application in driving judgment and control functionsMaintain and update perception results such as lane markings, traffic light positions and states, occupancy, and objects in a temporally and spatially continuous representationDefine and manage outputs including state, confidence, and persistenceReal-time Implementation and Performance OptimizationImplement real-time algorithms based on C++Optimize performance considering latency, CPU usage, and memory footprintAnalyze and improve bottlenecks from data structure, computational complexity, and memory access patternsBalance stability and responsiveness under real-time constraintsPerformance Evaluation and ToolingDefine quality metrics to quantify temporal stability, continuity, and consistencyDevelop large-scale log-based performance/quality analysis tools (C++, Python)Establish regression testing and automated evaluation pipelines
About the job
Join Our Innovative Team
At 42dot, we are seeking a talented Perception Tracking Engineer who will play a vital role in our autonomous driving perception systems. You will be responsible for tracking and modeling diverse perception results over time, ensuring the stability and consistency of real-time environmental awareness.
Your work will involve managing the temporal stability of perception results, including lane markings, traffic light positions and states, and spatial occupancy. This role requires designing how to maintain and update perception results without being dependent on specific sensors or single perception modules. It encompasses algorithm design as well as real-time implementation and performance optimization based on C++.
About 42dot
42dot is at the forefront of developing cutting-edge autonomous driving technologies. Our mission is to create a safer and more efficient transportation ecosystem through innovative perception systems.
Clicking Apply Now takes you to AutoApply where you can tailor your resume and apply.
Unlock Your Potential
Generate Job-Optimized Resume
One Click And Our AI Optimizes Your Resume to Match The Job Description.
Is Your Resume Optimized For This Role?
Find Out If You're Highlighting The Right Skills And Fix What's Missing
Experience Level
Experience
Qualifications
Key ResponsibilitiesTemporal Tracking & ModelingDesign and implement temporal tracking, modeling, filtering, and persistence logic for frame-level results generated by perception modulesDevelop algorithms to mitigate discontinuities, flickering, and false appearances/disappearances over time (e.g., lane discontinuities, traffic light state changes, occupancy fluctuations, unstable object states)Ensure temporal consistency considering observation omissions, uncertainty variations, and ego-motionRepresentation DesignStructure various sensor-based perception results for immediate application in driving judgment and control functionsMaintain and update perception results such as lane markings, traffic light positions and states, occupancy, and objects in a temporally and spatially continuous representationDefine and manage outputs including state, confidence, and persistenceReal-time Implementation and Performance OptimizationImplement real-time algorithms based on C++Optimize performance considering latency, CPU usage, and memory footprintAnalyze and improve bottlenecks from data structure, computational complexity, and memory access patternsBalance stability and responsiveness under real-time constraintsPerformance Evaluation and ToolingDefine quality metrics to quantify temporal stability, continuity, and consistencyDevelop large-scale log-based performance/quality analysis tools (C++, Python)Establish regression testing and automated evaluation pipelines
About the job
Join Our Innovative Team
At 42dot, we are seeking a talented Perception Tracking Engineer who will play a vital role in our autonomous driving perception systems. You will be responsible for tracking and modeling diverse perception results over time, ensuring the stability and consistency of real-time environmental awareness.
Your work will involve managing the temporal stability of perception results, including lane markings, traffic light positions and states, and spatial occupancy. This role requires designing how to maintain and update perception results without being dependent on specific sensors or single perception modules. It encompasses algorithm design as well as real-time implementation and performance optimization based on C++.
About 42dot
42dot is at the forefront of developing cutting-edge autonomous driving technologies. Our mission is to create a safer and more efficient transportation ecosystem through innovative perception systems.