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Software Engineer - ADAS Platform, Sensor Pipeline & AI Inference Optimization
Job in
Newark, New Castle County, Delaware, 19702, USA
Listed on 2026-10-17
Listing for:
Yoh
Full Time
position Listed on 2026-10-17
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Embedded Systems/ Firmware/ IoT, Machine Learning/ ML Engineer, Embedded Software Engineer
Job Description & How to Apply Below
Responsibilities Design and optimize platform software supporting camera, radar, lidar, ultrasonic, and vehicle sensor pipelines.
Build scalable middleware, frameworks, and infrastructure for ADAS and autonomous driving systems.
Optimize AI inference workloads using TensorRT, CUDA, ONNX Runtime, NVIDIA Drive Works, and OpenCL.Improve latency, throughput, memory utilization, and power efficiency through profiling and performance tuning.
Optimize perception, tracking, image processing, and sensor fusion pipelines across CPU, GPU, and hardware accelerators.
Develop deterministic real-time software for Embedded Linux and QNX platforms.
Design low-latency IPC, shared-memory, DMA, and zero-copy data movement frameworks.
Support ISO 26262 compliance, safety reviews, and automotive reliability requirements.
Collaborate closely with Perception, ML, Systems, Hardware, and Functional Safety teams.
Experience
10+ years of software development experience.
5+ years in ADAS, autonomous driving, robotics, embedded AI, or high-performance embedded systems.
Proven track record delivering production automotive software.
Technical Skills Expert C++14/17+, modern C++ design patterns, multithreading, and memory management.
Strong experience with QNX Neutrino RTOS, Embedded Linux, IPC, and real-time systems.
Deep expertise in CUDA, TensorRT, GPU memory management, profiling, and performance optimization.
Experience deploying AI/ML models on embedded automotive platforms.
Domain KnowledgeADAS software architecture
Perception pipelines
Sensor fusion
Functional safety concepts (ISO 26262)
Preferred Experience with NVIDIA DRIVE platforms, Drive Works, perception systems, sensor fusion, and autonomous driving software architectures. ???????
Software Engineer - ADAS Platform, Sensor Pipeline & AI Inference Optimization Lead the development and optimization of next-generation ADAS platform software across CPUs, GPUs, DSPs, AI accelerators, and safety-critical automotive hardware. Drive sensor processing pipelines, AI inference frameworks, and real-time embedded software that enable perception and autonomous driving capabilities.
Responsibilities Design and optimize platform software supporting camera, radar, lidar, ultrasonic, and vehicle sensor pipelines.
Build scalable middleware, frameworks, and infrastructure for ADAS and autonomous driving systems.
Optimize AI inference workloads using TensorRT, CUDA, ONNX Runtime, NVIDIA Drive Works, and OpenCL.Improve latency, throughput, memory utilization, and power efficiency through profiling and performance tuning.
Optimize perception, tracking, image processing, and sensor fusion pipelines across CPU, GPU, and hardware accelerators.
Develop deterministic real-time software for Embedded Linux and QNX platforms.
Design low-latency IPC, shared-memory, DMA, and zero-copy data movement frameworks.
Support ISO 26262 compliance, safety reviews, and automotive reliability requirements.
Collaborate closely with Perception, ML, Systems, Hardware, and Functional Safety teams.
Experience
10+ years of software development experience.
5+ years in ADAS, autonomous driving, robotics, embedded AI, or high-performance embedded systems.
Proven track record delivering production automotive software.
Technical Skills Expert C++14/17+, modern C++ design patterns, multithreading, and memory management.
Strong experience with QNX…
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