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Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Software Engineer, CUDA Deep Learning Systems”. A match may be a passing mention rather than the job itself. Titles only.
369 roles across 414 listings · show every listing · page 7 of 15
…This is a hands-on senior individual-contributor role for an engineer who operates at the intersection of deep learning systems, GPU performance, distributed…
…modern Deep Learning software architecture and frameworks. Strong written and oral communication skills with the ability to optimally collaborate with management and engineering. Background…
…8+ years of software engineering experience building production-quality systems software. 5+ years of technical leadership experience, including leading complex projects, setting technical direction…
…As an HPC Systems Administrator based in Munich, you will take ownership of this critical environment, ensuring that our team of simulation engineers remains…
…Characterizing AI workloads and deep learning models aimed at large-scale LLM training and inference on NVIDIA supercomputers. The role centers on distributed systems…
…and Israel, builds custom silicon and software for AWS customers. Our team combines cloud-scale innovation with world-class expertise across silicon engineering, hardware…
…Our team is building the future of intelligent robotics through frontier foundation models and end-to-end learned systems. We tackle some of the…
…12+ years in systems software engineering with hands-on experience in AI/ML workload optimization, GPU performance analysis, or deep learning infrastructure. Strong proficiency…
…Science, Electrical Engineering, or related field (or equivalent experience) and 12+ yrs of confirmed experience in systems software engineering with deep expertise in Windows…
…Hands-on with x86 or ARM (Grace/Vera) system architecture and the NVIDIA AI software stack (CUDA, DCGM, DOCA/OFED, GPU drivers, DGX OS…
…C++ and CUDA) and ML frameworks (esp. PyTorch), with a solid foundation in software engineering practices. Experience with real-time systems or robotics, ideally…
…points! - ML Systems knowledge - Experience using Ray - Work closely with community on LLM engines like vLLM, TensorRT-LLM - Contributions to deep learning frameworks (PyTorch…
…MS, PhD, or equivalent experience in Computer Science, Software Engineering, or a related field 2+ years of relevant work experience Excellent programming skills in…
…Apply knowledge of software engineering best practices. Desirable Skills and Aptitudes Deep Learning experience or knowledge – LLMs, Natural Language Processing, Vision, Audio, Recommendation systems…
…Apply knowledge of software engineering best practices. Desirable Skills and Aptitudes Deep Learning experience or knowledge – LLMs, Natural Language Processing, Vision, Audio, Recommendation systems…
…Study and develop cutting-edge techniques in CUDA programming, profiling, optimization. Application domains include deep learning, graphic, machine learning, and data analytics, and perform…
…at production scale — including systems you've owned from design through live traffic. Deep, practical expertise in LLM serving engines (vLLM, SGLang, TensorRT-LLM…
…Engineering, Machine Learning, Robotics, or related field. 12+ years of experience in AI/ML systems, deep learning architecture, or hardware/software co-design. Deep…
We are now looking for a Senior Performance Architect for Nemotron! At NVIDIA, we are redefining the future of AI systems through deep model…
…Experience with distributed systems, cloud computing, or large-scale data processing Strong foundation in computer science and software engineering principles Deeply interested in the…
…Exposure to performance-critical GPU systems (CUDA, NCCL, NVLink/PCIe, memory bandwidth) or model-serving stacks (llm-d, vLLM, TensorRT-LLM, Megatron-LM). Effective…
…A minimum of 12+ years of overall professional experience in the technology industry in software engineering, developer relations, technical partnerships, solutions architect, product management…
…Deep expertise in machine learning and deep learning—including model architecture design, training at scale, and evaluation—applied to scientific or engineering problems. Strong…
…Familiarity with NVIDIA system software stacks: CUDA, NCCL, NVSwitch / NVLink , driver behavior, and performance tuning. Ability to identify performance bottlenecks at the cluster, node…
…deep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest AI/HPC systems in…