Open jobs in United States: on-site, hybrid and remote.
287 jobs found · United States
Portland, Oregon, USANorth America
As a key member of our Infrastructure team, you will design and operate a scalable, resilient ingress data plane that directly impacts the value we provide to our…
Redwood City, CA (Hybrid)North America
Own the implementation of AI Agents including prompt design, workflow configuration, integrations, telephony setup, and evaluation frameworks
Mandarin (a plus)
The Commissioning engineer is responsible for executing the commissioning activities of utility-scale Battery Storage projects. The candidate will plan the commissioning…
With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart…
Seattle, WA (Hybrid)North America
We are a team of applied data scientists who thrive on solving complex scientific and engineering challenges. You'll collaborate closely with exceptional engineers and…
We are seeking a highly motivated Staff Robotics Engineer / Tech Lead to join our US robotics team.
Santa Clara, CA or Raleigh, NCNorth America
NetSuite Administrator to join our growing team. The ideal candidate will possess a strong blend of technical expertise, problem-solving skills, and a proactive approach…
The following description is not intended as an exhaustive list of all responsibilities, duties and skills required of personnel so classified.
Hybrid in Santa Clara or Mountain View, CANorth America
We're looking for a Senior Backend Software Development Engineer who can drive the technical direction of critical backend systems and lead the delivery of high-impact…
With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart…
Yugabyte is seeking an experienced Director of Engineering to lead the teams building the core of YugabyteDB, our distributed SQL database.
We are seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training.