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

Build next-generation ADAS platform software in Newark, CA (onsite) and help deliver real-time sensor processing and AI inference that performs reliably across embedded hardware. This role focuses on designing and optimizing end-to-end platform capabilities for camera, radar, lidar, ultrasonic, and vehicle sensor pipelines, with special attention to latency, throughput, memory usage, and power efficiency. You will also support safety-critical expectations and ISO 26262 compliance as part of a cross-functional engineering effort.

What you will deliver

• Design and optimize ADAS platform software for camera, radar, lidar, ultrasonic, and vehicle sensor pipelines.
• Create scalable middleware, frameworks, and infrastructure that support 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 systematic profiling and performance tuning.
• Optimize perception, tracking, image processing, and sensor fusion across CPU, GPU, and hardware accelerators.
• Develop deterministic real-time software for Embedded Linux and QNX platforms.
• Design low-latency data movement and communication components, including IPC, shared-memory, DMA, and zero-copy frameworks.
• Support ISO 26262 compliance, safety reviews, and automotive reliability requirements.
• Collaborate closely with Perception, ML, Systems, Hardware, and Functional Safety teams.

What you bring

• 10+ years of software development experience.
• 5+ years in ADAS, autonomous driving, robotics, embedded AI, or high-performance embedded systems.
• Proven experience delivering production automotive software.
• Expertise in 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.

Helpful domain knowledge

• ADAS software architecture
• Perception pipelines
• Sensor fusion
• Functional safety concepts (ISO 26262)

Preferred background

• Experience with NVIDIA DRIVE platforms, DriveWorks, perception systems, sensor fusion, and autonomous driving software architectures.

Compensation & schedule

Estimated hourly rate: USD $110 - $140

Onsite role in Newark, CA.

Benefits

• Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week)
• Health Savings Account (HSA) (for employees working 20+ hours per week)
• Life & Disability Insurance (for employees working 20+ hours per week)
• MetLife Voluntary Benefits
• Employee Assistance Program (EAP)
• 401K Retirement Savings Plan
• Direct Deposit & weekly epayroll
• Referral Bonus Programs
• Certification and training opportunities

Technologies you will use

• C++14/17+, C++
• CUDA, TensorRT, ONNX Runtime
• NVIDIA DriveWorks
• OpenCL
• QNX Neutrino RTOS, Embedded Linux
• IPC
• ISO 26262
• Embedded AI
• NVIDIA DRIVE platforms
• DMA