- NVIDIA (CA)
- …tools for Dynamo Inference Server! NVIDIA is hiring software engineers for its GPU-accelerated deep learning software team, and we are a remote friendly work ... world are using GPUs to power a revolution in deep learning , enabling breakthroughs in problems from...scientists. What you'll be doing: + Build and maintain distributed model management systems, including Rust-based runtime components, for… more
- NVIDIA (Santa Clara, CA)
- …to building foundational models, agents or orchestration frameworks; hands-on experience with deep learning frameworks and modern inference stacks. + Strong ... We are looking for outstanding Senior High Performance AI Engineer to build groundbreaking multi-agent systems for the CUDA...Stand Out From The Crowd: + Track record building/evaluating deep learning models, coding agents and developer… more
- NVIDIA (Santa Clara, CA)
- …with NVIDIA GPUs, CUDA Programming, NCCL and MLPerf benchmarking + Experience with Machine Learning and Deep Learning concepts, algorithms and models + ... We are seeking a Senior AI/ML Performance and Efficiency Engineer , GPU Clusters at NVIDIA to join our AI...Lustre and GPFS for AI/HPC workloads + Familiarity with deep learning frameworks like PyTorch and TensorFlow… more
- Capital One (San Francisco, CA)
- …Lead a portfolio of diverse technology projects and a team of developers with deep experience in machine learning , distributed microservices, and full stack ... Lead Software Engineer , DevOps (Intelligent Foundations & Experiences) Do you...staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology… more
- Amazon (Cupertino, CA)
- …Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning ... Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's...unique opportunity to work at the intersection of machine learning , high-performance computing, and distributed architectures, where… more
- Roche (Santa Clara, CA)
- …and Autoscaling. **Preferred:** + MLOps experience with demonstrated experience supporting machine learning or computer vision teams. + Deep experience with ... come. Join Roche, where every voice matters. **The Position** **Principal DevOps Engineer - ML/AI Algorithms** Developing software is great, but developing software… more
- The Walt Disney Company (Nicasio, CA)
- …large-scale distributed training and inference tasks. + Containerize machine learning models and applications using Docker and deploy them via Kubernetes or ... Group is seeking a highly skilled Sr ML Ops Engineer to build and maintain the infrastructure powering our...to build and maintain the infrastructure powering our machine learning and AI frameworks. This position is crucial in… more
- Oracle (Sacramento, CA)
- …You should be both a rock-solid lead developer, curious problem solver, a distributed systems generalist and/or skilled Linux engineer with Systems triage ... of the stack and low-level systems to design broad distributed system interactions. You should value simplicity and scale,...in our products and our actions. We are constantly learning and taking opportunities to grow our careers and… more
- Amazon (Cupertino, CA)
- …Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning ... Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's...unique opportunity to work at the intersection of machine learning , high-performance computing, and distributed architectures, where… more
- Capital One (San Francisco, CA)
- …Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create ... Lead Software Engineer , Full Stack Do you love building and...staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology… more