- Lumen (Sacramento, CA)
- …infrastructure. + Stay current with emerging technologies and trends in cloud computing , Python, DevOps, and AI-and advocate for their adoption where appropriate. ... with cloud platforms (AWS, Azure, or GCP), including serverless computing , containerization (Docker/Kubernetes), databases (relational and NoSQL), and messaging… more
- Google (Sunnyvale, CA)
- …empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that ... From software to hardware our teams are shaping the future of world-leading hyperscale computing , with key teams working on the development of our TPUs, Vertex AI… more
- Meta (Burlingame, CA)
- …demonstrating expertise in synthetic image generation 13. Experience with cloud computing platforms and distributed computing for large-scale experiments 14. ... Demonstrated software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (eg GitHub) 15. Experiences working on high volume data with noisy labels **Public Compensation:**… more
- Oracle (Sacramento, CA)
- …working with the software development team on GPU infrastructure, distributed computing , highly available cloud services and virtualized infrastructure. You will be ... of working with engineers on the software development of AI models and GPU computing + Strong skills to evaluate product performance metrics, as well as diagnose and… more
- Meta (Menlo Park, CA)
- …and forwarding functions 7. Enhance HPC collective communication and parallel computing libraries (NCCL, RCCL, OneCCL, MPI) 8. Develop infrastructure to maintain ... version 2 (RoCEv2) 18. Qemu, FPGA Emulation environment is a plus 19. Parallel computing platforms such as CUDA, RoCM and OpenCL 20. Experience with one of Platform… more
- Snap Inc. (Los Angeles, CA)
- …environment. + Modern Tech Literacy: You understand the trade-offs of modern computing (Cloud vs. On-Device, Latency vs. Accuracy) and how AI/LLMs impact hardware ... or Product Management. + Experience in AR/VR, hardware, or spatial computing . + Demonstrated experience managing technical integrations involving AI, ML, or… more
- Meta (Menlo Park, CA)
- …systems around it 6. Understand industry and Meta wide technology trends in computing technology to help assess & develop new technologies within the ML Systems ... ML systems: AI infrastructure, machine learning accelerators, high performance computing , machine learning compilers, GPU architecture, machine learning frameworks,… more
- Google (Sunnyvale, CA)
- …empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that ... From software to hardware our teams are shaping the future of world-leading hyperscale computing , with key teams working on the development of our TPUs, Vertex AI… more
- Meta (Burlingame, CA)
- …and optimize existing algorithms 3. Research on development and optimization of edge computing algorithms (ML and non-ML) 4. Collaboration with and support of other ... developing machine learning and computer vision models, optimization of edge computing algorithms, or distributed compute architectures 10. 2+ years experience… more
- Oracle (Redwood City, CA)
- …Processing + System software, including operating system kernels + Cloud computing + Distributed Systems Protocols + Machine learning + Computer architecture ... Processing + System software, including operating system kernels + Cloud computing + Distributed Systems Protocols + Machine learning + Computer architecture… more