Join our EC2 Nitro Machine Learning Systems team to lead a pivotal performance engineering group at the intersection of state of the art ML…

…If you are unafraid to work across all layers of the hardware/software stack from GPU architecture to Deep Learning Framework to achieve peak…

…Background as a software engineer, data scientist, or AI/ML practitioner — you understand how developers building agentic systems think because you've built alongside…

…BS or MS degree in Computer Engineering, Computer Science, Electrical Engineering or equivalent experience 2+ years of relevant systems software development experience Strong C…

…ABOUT THE JOB We are seeking Software Engineers specializing in Computer Vision and Machine Learning Engineering. You will leverage cutting-edge research to solve…

…managing scientists or machine learning engineers - Experience debugging, profiling, and implementing best software engineering practices in large-scale systems - Experience in developing and deploying…

…Design and implement extensible software abstractions for deep learning libraries, LLM serving engines, and runtime systems. Build and improve just-in-time compilation, code…

…Deep background in systems engineering or ML infrastructure, with the ability to go hands-on with performance profiling, latency and throughput optimization, and systems…

…A history of mentoring junior engineers and interns is a bonus. Ways to stand out from the crowd: Experience working deep learning frameworks such…

…We are hiring software engineers for the CUDA Tile team. NVIDIA GPUs are at the center of the deep learning revolution and continue to…

…Have strong software-engineering skills and deep Python expertise, including async/concurrent programming Are comfortable owning systems end to end and debugging across the…

…Software Engineer specializing in systems inspection. The role involves developing the next generation of AI products for semiconductor analysis in Santa Clara. This position…

…training/inference of large-scale deep learning models Familiarity with low-level programming for specialized hardware (e.g., CUDA, HIP, Triton) or hardware description…

…We're looking for software engineers with strong coding skills and deep, relevant experience who can learn quickly and help build out the platform…

…cuDNN, CUDA, DL/ML Frameworks). 3+ years of machine learning or deep learning experience. In-depth knowledge of modern deep learning software design, data…

…Deep understanding of database systems and data processing technologies, including cuOpt & graph optimization which are rapidly gaining traction as a GPU-accelerated optimization engine…

…8+ years of combined experience and high impact in quantum systems and AI/ML research. Hands-on expertise in machine learning and deep learning…

…Broad understanding of quantum control, such as pulse-level hardware interfaces and classical feedback through software abstractions. Experience with scalable computing or accelerated systems…

…Role Overview We are looking for a senior Infrastructure Site Reliability Engineer with deep experience operating large-scale distributed systems and recent hands-on…

…As a Principal Software Engineer on the Compute team, you will be the technical anchor for Roblox's GPU and AI accelerator capabilities. This…

…by side with clients, engineers, and other architects on in-depth analysis, profiling and optimization of machine learning/deep learning models to ensure the…

…12+ years of software engineering experience in systems software, AI/ML infrastructure, deep learning inference, compiler/runtime technology, or platform performance. Strong C/C…

…As a Machine Learning Systems Engineer, you will work closely with Siri modeling teams and other cross-functional teams to optimize model training and…

We are looking for software engineers to join our development efforts in cuDSS, a CUDA library for direct solvers for sparse linear systems. Around…

…Minimum Qualifications: • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering…