Browse 9 exciting jobs hiring in Gpu Computing now. Check out companies hiring such as Harvard University, Sygaldry Technologies, NVIDIA in New York, St. Paul, Baltimore.
Harvard Kennedy School is hiring a Research Infrastructure and Software Engineer to architect and implement reproducible, secure research computing and data solutions that support the School's research and compliance needs.
Sygaldry is seeking an ML Infrastructure Engineer to design and operate multi‑cloud GPU orchestration, research compute tooling, and CI/CD pipelines that enable reproducible, scalable ML and simulation workloads.
NVIDIA's ADI team seeks a Senior Software Engineer to design and implement high-performance C++/CUDA libraries for accelerating GPU data processing and contribute to major open-source projects.
NVIDIA is seeking a Senior System Software Engineer to architect and implement CUDA driver features for Windows, advancing GPU computing across AI, graphics, and system workloads.
Lead developer engagement and technical partnerships to drive adoption of advanced AI and accelerated computing across manufacturing ecosystems.
A systems researcher/engineer role focused on prototyping, benchmarking, and system-level analysis of AI and data-center workloads to drive Intel's next-generation architecture and product decisions.
Pfizer is hiring a Staff Software Engineer to lead cloud-native HPC migrations and act as the primary technical bridge between R&D scientists and cloud infrastructure for high-performance scientific computing.
Lead developer strategy and partnerships to drive adoption of NVIDIA's core CUDA Math Libraries, with a focus on mixed-precision enablement and high-performance numerical computing.
Lead the design and implementation of scalable ML backend systems and sensor-data pipelines to enable production-grade robotics and autonomous manufacturing at Nidus in New York City.
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