Senior ADAS Platform Engineer — Real-Time AI & Sensors

Yoh Services LLC

Newark (CA)

On-site

USD 152,000 - 193,000

Full time

14 days+

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Benefits offered by this job

Medical benefits
HSA
Life & Disability Insurance
401K Retirement Savings Plan
Direct Deposit & weekly epayroll
Referral Bonus Programs
Certification and training

Job summary

Yoh Services LLC is seeking a Software Engineer for the ADAS Platform, Sensor Pipeline & AI Inference Optimization. You will lead development across CPUs, GPUs, DSPs, and automotive hardware, optimizing sensor pipelines and real-time embedded software essential for perception and autonomous driving.

Responsibilities include designing scalable middleware, optimizing AI inference workloads with CUDA, TensorRT, and OpenCL, and ensuring safety considerations while collaborating with Perception, ML,

Qualifications

  • 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.

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 CUDA, TensorRT, ONNX Runtime, NVIDIA DriveWorks, and OpenCL.

Skills

Software development
ADAS experience
Automotive software

Tools

QNX Neutrino RTOS
Embedded Linux
IPC
RTOS & real-time systems
CUDA/TensorRT

Job description

Yoh Services LLC is seeking a Software Engineer for the ADAS Platform, Sensor Pipeline & AI Inference Optimization. You will lead development across CPUs, GPUs, DSPs, and automotive hardware, optimizing sensor pipelines and real-time embedded software essential for perception and autonomous driving.

Responsibilities include designing scalable middleware, optimizing AI inference workloads with CUDA, TensorRT, and OpenCL, and ensuring safety considerations while collaborating with Perception, ML,

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