- NVIDIA (Santa Clara, CA)
- NVIDIA's Deep Learning Safety team is looking for a Senior Software Engineer to build intelligent, autonomous software for the next generation of accelerated ... leading the future of AI and accelerated systems. Our Deep Learning Safety team is looking for... Safety team is looking for a Senior Software Engineer to design and implement AI-driven agents that autonomously… more
- Meta (Trenton, NJ)
- …hardware accelerators and optimize their performance 3. Analyze deep learning networks, develop & implement compiler optimization algorithms 4. Collaborating ... You will work closely with AI researchers to analyze deep learning models and lower them efficiently...techniques. You will gain valuable experience in developing machine learning compiler frameworks and will help in… more
- Meta (Redmond, WA)
- …are seeking a software engineer to support the development of the compiler tool-chain for state-of-the-art deep learning hardware components optimized ... and will be part of a team that includes compiler , machine learning algorithms and software, firmware...as LLVM, MLIR, GCC, MSVC, Glow. 14. Experience in deep learning algorithms and techniques, eg, convolutional… more
- NVIDIA (Santa Clara, CA)
- …Join NVIDIA's nvFuser (https://github.com/NVIDIA/Fuser) team to build the next-generation fusion compiler that automatically optimizes deep learning models ... to directly impact the future of AI compilation. The Deep Learning Frameworks Team @ NVIDIA is...optimizations. What you'll be doing As an nvFuser (https://github.com/NVIDIA/Fuser) engineer , you'll work on exciting challenges in compiler… more
- pony.ai (Fremont, CA)
- …including model development, evaluation, optimization, deployment, and monitoring. As a Machine Learning Engineer in ML Runtime & Optimization, you will be ... architecture design and software infrastructure. + Apply model optimization and efficient deep learning techniques to models and optimized ML operator libraries.… more
- Amazon (Seattle, WA)
- …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...Trainium ML accelerators. This comprehensive toolkit includes an ML compiler , runtime, and application framework that seamlessly integrates with… 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...Trainium ML accelerators. This comprehensive toolkit includes an ML compiler , runtime, and application framework that seamlessly integrates with… 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...Trainium ML accelerators. This comprehensive toolkit includes an ML compiler , runtime, and application framework that seamlessly integrates with… more
- Google (Kirkland, WA)
- …in designing, training, or refining complex ML/AI models. + Experience in deep learning frameworks like TensorFlow/Jax/Pytorch. + Experience in building a ... C++, Java, JavaScript or Golang. + Experience in Machine Learning or Artificial Intelligence. **Preferred qualifications:** + Research experience...on and is growing every day. As a software engineer , you will work on a specific project critical… more
- Microsoft Corporation (Redmond, WA)
- …including, but not limited to, C, C++, C#, or Python. + Experience with deep learning frameworks such as PyTorch, TensorFlow, or ONNX. + Experience with ... cross-discipline collaboration skills; ability to work effectively with hardware, compiler , and ML model teams. + Deep ...hardware, compiler , and ML model teams. + Deep understanding of large-scale distributed training or inference systems… more
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