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Researches and builds on-device AI models for in-vehicle sensing, focusing on driver and passenger behavior recognition using deep learning in automotive environments.
Leads a team to develop secure, AI-powered embedded Linux firmware for identity and access devices, integrating cameras, edge AI, and OTA updates on custom hardware.
Senior Embedded AI Engineer (Automotive / ADAS) Job Overview We are seeking a highly skilled Embedded AI Engineer to design and optimize next-generation artificial intelligence perception systems for Automotive ADAS/AD…
Generative and agentic AI is redefining digital health, from patient engagement and provider experience to clinical documentation, payor operations, and back-office automation. We are seeking a highly technical and…
Develops and deploys advanced speech and audio AI models, including Large Audio Language Models and Speech-to-Speech systems, using PyTorch and GPU clusters in Redmond, WA.
Leads development of motion planning algorithms for autonomous trucks, designing trajectory generation and optimization systems in C++ on Linux to ensure safe navigation in unstructured environments.
Leads optimization and deployment of machine learning models for real-time video processing on embedded devices like outdoor cameras and doorbells, focusing on performance, power efficiency, and stability under hardware constraints.
Builds and optimizes the shared GenAI infrastructure for Deliveroo, DoorDash, and Wolt, focusing on real-time GPU serving, batch inference, and fine-tuning of open-weight models to reduce costs and latency while enabling production AI use cases.
Develops embedded computing systems for humanoid robots, including firmware, drivers, and real-time Linux kernels to process sensor data and control actuators.
Vantive is a vital organ therapy company on a mission to extend lives and expand possibilities for patients and care teams everywhere. For 70 years, our team has driven meaningful innovations in kidney care. As we…
We're looking for a Principal Engineer to join our CSP Engagements team as the technical focal point for end-to-end performance, working directly with engineering teams of key CSP/hyperscale customers to ensure…
At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. We are seeking a highly skilled and experienced AI Systems Engineer to join our team. This is a hands-on,…
NVIDIA is leading the next era of AI computing, bringing AI from the cloud to local devices. The Windows Client AI team develops the software platform that enables developers, enterprises, and creators to build and run…
Customer Solution Architect — Arango AI Product Suite About Arango: Arango delivers a unified, natively multimodel contextual data platform that powers AI agents, assistants, and applications with the unified, current,…
We are now looking for a Deep Learning Software Engineer, TensorRT Performance! NVIDIA is seeking an experienced Deep Learning Engineer passionate about analyzing and improving the performance of NVIDIA’s inference…
We are looking for a Principal Manager to join NVIDIA’s Automotive Product Management team with a focus on agentic workflows for autonomous vehicle (AV) development . In this role, you will define, design, and drive…
Senior AI Engineer designs and deploys scalable, production-grade AI systems integrating LLMs, distributed data pipelines, and graph databases for enterprise clients.
Builds and deploys custom AI applications (LLM, RAG, agent workflows) for clients, handling end-to-end engineering from architecture to production on cloud or on-prem.
Build and optimize high-throughput inference systems for a physics-based AI model, focusing on low-latency, distributed evaluation against decades of physical observations using PyTorch, JAX, and GPU-aware tooling.
Designs and builds GPU-powered, cloud-native AI infrastructure and MLOps platforms on GCP/GKE, integrating NVIDIA acceleration and Vertex AI for scalable model training and deployment.
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