vla jobs in San Diego

As an Autonomy Engineer focused on VLA (Vision-Language-Action) pre-training, you will train capable robotic policies using deep learning, including pre-training base models on multi-embodiment trajectory data, fine-tuning for specific tasks, and optimizing for real-time edge inference. You'll own the full loop from data collection and curation through deployment, partnering with data and MLOps teams to build continuous training pipelines that ingest synthetic data and teleop logs.…See more The role requires 3+ years building production deep-learning systems with hands-on experience in LLMs, VLMs, or generative models, plus strong Python and PyTorch/JAX skills to profile, debug, and write maintainable research code.

As an Autonomy Engineer focused on VLA (Vision-Language-Action) pre-training, you will develop and train deep learning policies for humanoid robots, owning the full pipeline from data collection and curation to model deployment. You'll pre-train base models on diverse multi-embodiment trajectory corpora, fine-tune policies for specific tasks, work with MLOps teams to scale distributed training, and build continuous pipelines that ingest synthetic data and teleop logs.…See more This is primarily a deep learning role requiring 3+ years of experience shipping neural network models, hands-on expertise with LLMs, VLMs, or generative models, and strong proficiency in Python and PyTorch or JAX.

Lead the integration of autonomy software with platform software for autonomous systems, responsible for building glue layers, investigating cross-system failures, and supporting deployment to hardware. Develop and maintain test infrastructure, instrumentation, and documentation; work with Flight Operations to define test objectives and analyze integration failures.…See more Design reference integrations, deployment workflows, and tooling for edge devices, and contribute to Pilot training materials. Requires deep C++ expertise, Linux development, and experience building, testing, and debugging software for robotics, perception, planning, or autonomous systems.

Qualcomm seeks an ML/computer vision engineer to develop and optimize AI-accelerated vision algorithms for edge devices (mobile, automotive, robotics, AR/VR). You will design algorithms for depth estimation, optical flow, video super-resolution, 3D reconstruction, and SLAM, then optimize deep learning models for resource-constrained SoCs.…See more The role spans algorithm research, model architecture design, performance profiling across memory/compute/power/bandwidth, and cross-functional collaboration with hardware and systems teams to ship production models for key customer segments.

Qualcomm AI Research seeks a Senior AI Research Quantization Engineer to develop algorithms for efficient generative AI, LLMs, and multimodal models optimized for on-device deployment. The role focuses on advanced quantization techniques, model compression, inference optimization (batching, KV caching, speculative decoding), and system prototyping using Python and PyTorch.…See more You will collaborate across hardware, software, and systems teams to enable state-of-the-art models to run on power- and memory-constrained devices including smartphones, autonomous vehicles, robotics, and IoT platforms. A Bachelor's degree plus 2+ years of related engineering experience (or Master's with 1+ year, or PhD) is required.