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# Software Engineer - ADAS Platform, Sensor Pipeline & AI Inference Optimization

- **Company:** Yoh Services LLC
- **Location:** New Castle, DE, United States
- **Experience:** Expert
- **Salary:** $228,800 - $291,200
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, C++ (Programming Language), Profiling, Nvidia CUDA, Extract Transform Load (ETL), Software Design Patterns, Microprocessors, Memory Management, Linux on Embedded Systems, Middleware, Embedded Software, Machine Learning, QNX (Software), Software Architecture, Real-Time Operating Systems, Sensor Fusion, Software Engineering, System Software, Multithreading, Graphics Processing Unit (GPU), ONNX (Open Neural Network Exchange) Format, Embedded AI, TensorRT, Model Inference, Lidar
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/7_5D3A1EE9F5C4B8D3B0A71797290A5154

## About the Role

Hardware, and Functional Safety teams.Experience10+ 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 SkillsExpert 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 architecturePerception pipelinesSensor fusionFunctional safety concepts (ISO 26262)Preferred Experience with NVIDIA DRIVE platforms, DriveWorks, 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., Hardware, and Functional Safety teams.Experience10+ 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 SkillsExpert 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 architecturePerception pipelinesSensor fusionFunctional safety concepts (ISO 26262)Preferred Experience with NVIDIA DRIVE platforms, DriveWorks, perception systems, sensor fusion, and autonomous driving software architectures.Estimated Min Rate: $110.00Estimated Max Rate: $140.00What's In It for You?We welcome you to be a part of the largest and legendary global

## Description

Drive sensor processing pipelines, AI inference frameworks, and real-time embedded software that enable perception and autonomous driving capabilities.ResponsibilitiesDesign 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 DriveWorks, 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