litert jobs in San Diego

Design and develop embedded and cloud edge software applications focused on AI/GenAI, multimedia, and computer vision SDKs and frameworks for IoT products including drones, cameras, and AI boxes. Collaborate with systems, hardware, and architecture teams to build high-performance, real-time embedded software solutions.…See more Lead GenAI LLM/VLM inference workflows, multi-stream AI pipelines, and multimedia frameworks across Android, Linux, and embedded systems. Requires 2+ years of software engineering experience with C/C++, Python, or Java, plus preferred expertise in PyTorch, TensorFlow, ONNX Runtime, LangChain, LlamaIndex, Android architecture, Linux system programming, and graphics/GPU pipelines.

Staff-level embedded software engineer responsible for designing and developing AI, GenAI, and multimedia SDKs/frameworks for IoT edge devices (drones, cameras, AI boxes, appliances). The role requires architecting high-performance inference pipelines, multi-stream AI processing, and GStreamer-based plugins for Qualcomm hardware platforms.…See more Must have 5+ years of C/C++ experience in embedded systems, strong knowledge of AI inference frameworks (PyTorch, TensorFlow, ONNX Runtime, LiteRT), GenAI orchestration tools (LangChain, LlamaIndex), and multimedia/HAL integration across Android, Tizen, and Linux. Ownership spans architecture, design, implementation, and deployment of production-quality SDK components.

Own CI, build, and release infrastructure for AI software products (ONNX Runtime, ExecuTorch, TFLite/LiteRT delegates) across Linux, Windows, and Android. Design and evolve multi-platform CI pipelines, implement HIL and on-device automated testing for Snapdragon SoC validation, and drive end-to-end release pipelines with versioning, artifact packaging, and distribution.…See more Define automated quality gates including regression benchmarks and performance thresholds. Requires 8+ years of software/DevOps/release engineering experience (or 6+ with a Master's), expert Python and Bash scripting, deep CI/CD platform expertise (Jenkins, GitLab CI, GitHub Actions, TeamCity), and hands-on experience integrating AI coding agents into workflows.