About the team The Seed Infrastructures team oversees the distributed training, reinforcement learning framework, high-performance inference, and heterogeneous hardware compilation technologies for AI foundation models. We are looking for talented individuals to join our team in 2026.
Minimum qualifications: Bachelors degree in Electrical Engineering, Computer Engineering, Computer Science, a related technical field, or equivalent practical experience. 8 years of experience with software system design, architecture, and creating technical design documentation in a manufacturing
Zoox is on a mission to reimagine transportation and ground-up build autonomous robotaxis that are safe, reliable, clean, and enjoyable for everyone. We are still in the early stages of deploying our robotaxis on public roads,
What You’ll Do Own and deliver GPU infrastructure programs spanning datacenter enablement, GPU server provisioning, deployment, configuration, and lifecycle operations. Align priorities and execution across multiple teams (engineering, networking, datacenter ops, supply chain, partners/vendors) and keep complex
Company Overview At Skild AI, we are building the worlds first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key
About the Team The Seed Infrastructures team oversees the distributed training, reinforcement learning framework, high-performance inference, and heterogeneous hardware compilation technologies for AI foundation models. Responsibilities 1. Design, develop, and optimize high-performance inference systems for large-scale LLMs
Position SummarySamsung, a world leader in advanced semiconductor technology, is founded on a simple philosophy – the endless pursuit of excellence will create a better world for all. At Samsung Austin Research and Development Center (SARC)
Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience programming in C++, or 1 year of experience with an advanced degree in an industry setting. 2 years of experience designing and developing distributed
Sr. Lead AI Engineer (Inference Optimization, FM hosting, AI Platform) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using
Job Description The Role: We are seeking an experienced, technical oriented, impact delivering-driven expert in ML Training Infrastructure with a strong ability to execute hands-on technical work. In this role, you will be responsible for designing and
Company Description Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and
NVIDIA is at the forefront of the generative AI revolution, building the software and systems that power the world’s most advanced large language model workloads. We are looking for a Senior Software Engineer to lead the
XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With
Minimum qualifications: Bachelors degree or equivalent practical experience. 8 years of experience programming in C++. 5 years of experience with design and architecture; and testing/launching software products. Experience integrating generative AI tools or LLM interfaces into
Minimum qualifications: Bachelors degree or equivalent practical experience. 8 years of experience in software development. 8 years of experience leading global, matrixed technical teams, or cross-functional architectural initiatives. 5 years of experience with design and architecture;
Team Information: The Seed Infrastructures team oversees the distributed training, reinforcement learning framework, high-performance inference, and heterogeneous hardware compilation technologies for AI foundation models. Responsibilities - Conduct research and development on large-scale LLM training infrastructure and efficiency -
Job Description The Role: We are seeking an experienced, technical oriented, impact delivering-driven expert in ML Training Infrastructure with a strong ability to execute hands-on technical work. In this role, you will be responsible for designing and
About The Team: The Recommendation System Infrastructure team is responsible for building and evolving the large-scale online serving and data infrastructure that powers TikTok’s recommendation products globally. Our mission is to deliver highly efficient, reliable, observable, and scalable
About The Team: The Recommendation System Infrastructure team is responsible for building and evolving the large-scale online serving and data infrastructure that powers TikTok’s recommendation products globally. Our mission is to deliver highly efficient, reliable, observable, and scalable
About the Team We are the Infrastructure System Lab — a hybrid research and engineering group building the next-generation AI-native data infrastructure. Our work sits at the intersection of databases, large-scale systems, and AI. We drive innovation across: