10 hours ago
San Jose, CA, USASenior / Staff+
H1B sponsor
Base Salary
$170k - $351k/yr
Responsibilities
- Own deployment, optimization, and resource scheduling of vehicle-side AI models for efficient, low-latency, robust execution within embedded constraints.
- Lead vehicle-side system stability initiatives, including root-cause analysis and resolution of complex performance bottlenecks and runtime anomalies.
- Architect and scale service-oriented deployment environments for LLMs and foundational models supporting offline simulation, automated annotation, and model validation.
- Evaluate and integrate optimization toolchains, quantization techniques, and execution engines.
- Establish profiling and telemetry frameworks using CUDA tools to maximize hardware utilization across GPU architectures.
- Collaborate with Autonomous Driving Perception/Prediction, Cloud Infrastructure, and Safety teams on algorithm iteration and vehicle deployment.
Requirements
- Master’s or higher degree in Computer Science, Software Engineering, Systems Engineering, or a closely related technical field.
- 3–8+ years of industry experience in high-performance computing, AI infrastructure, model optimization, or embedded deployment.
- Strong proficiency in C++ and Python, with expertise in parallel programming using CUDA and OpenMP and low-level system profiling tools.
- Deep familiarity with TensorRT, ONNX Runtime, vLLM, SGLang, and TensorRT-LLM.
- Understanding of GPU architectures such as NVIDIA Hopper and Thor and memory bandwidth management.
- Ability to diagnose complex software-hardware integration issues and deliver scalable, production-grade solutions.
- Preferred: experience optimizing and deploying models on NVIDIA Thor, serving foundation models with vLLM, SGLang, TGI, or LightLLM, using PyTorch, applying quantization, kernel fusion, or graph compilation, and deploying real-time AI workloads in autonomous vehicles, robotics, or edge devices.
Benefits
- Full-time position with bonus, equity, and benefits.
- Base salary range of $169,783–$351,000 annually, excluding bonus, equity, and benefits.
Categories
About DiDi
DiDi is a mobility technology platform offering app-based ride hailing, taxi hailing, shared mobility, food delivery, and intra-city freight to consumers and businesses across Asia Pacific, Latin America, and other markets. It connects riders with drivers and couriers and provides vehicle, energy, and insurance-related services, earning transaction commissions and service fees. DiDi launched an autonomous driving unit in 2016, which became the independent DiDi Autonomous Driving in 2019 to develop Level 4 technology for its network.