- DoorDash (San Francisco, CA)
- …Infra engineers, and partner teams to ensure our platform supports high-volume, GPU -accelerated training in a fast-evolving environment. This is a hybrid opportunity ... usage, balancing cost and performance. Nice To Haves + GPU Acceleration - Experience with GPU -enabled training...Haves + GPU Acceleration - Experience with GPU -enabled training and its associated performance optimizations. + MLOps… more
- NVIDIA (Santa Clara, CA)
- …Deep Learning accelerators Ways to stand out from the crowd: + Background with GPU Computing and parallel programming models such as CUDA + Experience with deep ... and optimization in leading frameworks (eg Pytorch, JAX) The GPU started out as the engine for simulating human...worlds of video games and Hollywood films. Now, NVIDIA's GPU runs deep learning algorithms, simulating human intelligence, and… more
- NVIDIA (Santa Clara, CA)
- …potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the ... large-scale database transformation with the design and development of GPU -accelerated platforms. You'll create the software systems, automation frameworks, and… more
- NVIDIA (Santa Clara, CA)
- …visual computing, the art and science of computer graphics, with our invention of the GPU . The GPU has also proven to be unbelievably effective at solving some ... of the most sophisticated problems in computer science. Today, NVIDIA's GPU simulates human intelligence, running deep learning algorithms and acting as the brain of… more
- NVIDIA (Santa Clara, CA)
- NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More ... recently, GPU deep learning ignited modern deep learning - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving… more
- General Motors (Mountain View, CA)
- …on performance, availability, concurrency, and scalability. We're committed to maximizing GPU utilization across platforms (B200, H100, A100, and more) while ... You'll be responsible for building critical backend services, integrating with GPU hardware and orchestration systems, and driving improvements to both system… more
- NVIDIA (Santa Clara, CA)
- …what's possible. What you'll be doing: + Investigating the latest and future NVIDIA GPU hardware architecture and programming models. + Working on the frontier of AI ... Python DSL), with a focus on generating efficient, low-level GPU code. When vital, you'll also be able to...and debugging. + Experienced in parallel programming, including CUDA/OpenCL GPU programming or other parallel models such as OpenMP.… more
- NVIDIA (Santa Clara, CA)
- …looking for an experienced Solutions Architect to assist customers with adoption of GPU hardware and software as well as building Machine Learning (ML), Deep ... Build and deploy solutions at scale using NVIDIA's AI software on cloud-based GPU platforms. + Build custom PoCs for solutions that address customer's critical… more
- NVIDIA (Santa Clara, CA)
- NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More ... recently, GPU deep learning ignited modern AI - the next...- the next era of computing - with the GPU acting as the brain of computers, robots, and… more
- NVIDIA (Santa Clara, CA)
- NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More ... recently, GPU deep learning ignited modern AI-the next era of computing-with the GPU acting as the brain of computers, robots, and self-driving cars that can… more