- University of Oregon (Eugene, OR)
- …models of brain function grounded in a combination of theoretical approaches, neural network -based simulations, and statistical analysis of experimental data. ... fundamental questions in neuroscience - questions such as, "How do neural stem cells choose between self-renewal and differentiation?" "What mechanisms generate… more
- quadric.io, Inc (Burlingame, CA)
- …unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge ... to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a… more
- quadric.io, Inc (Burlingame, CA)
- …unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge ... to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a… more
- quadric.io, Inc (Burlingame, CA)
- …unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge ... to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a… more
- Qualcomm (San Diego, CA)
- …and integration. + Integrate and optimize large language models (LLMs) and neural network architectures into production-ready software. + Collaborate with ... (LLMs), their mechanics, and their real-world applications. + Familiarity with neural network architectures and how they power modern AI systems. + Experience… more
- quadric.io, Inc (Burlingame, CA)
- …unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge ... to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a… more
- Qualcomm (San Diego, CA)
- …and metrics + Integrate and optimize large language models (LLMs) and neural network architectures into production-ready software. + Collaborate with ... of evaluation methodologies for fine-tuned language models + Familiarity with neural network architectures and how they power modern AI systems * Experience… more
- quadric.io, Inc (Burlingame, CA)
- …unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge ... to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a… more
- LinkedIn (Sunnyvale, CA)
- …large scale AI models and systems Experience in large language models and deep neural network solutions Demonstrated ability to work with peers in engineering ... LinkedIn is the world's largest professional network , built to help members of all backgrounds...direction, unblock massive scale projects with your expertise in neural networks and machine learning at the same time… more
- quadric.io, Inc (Burlingame, CA)
- …unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge ... to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a… more
Recent Jobs
-
Principal Group Software Engineering Manager
- Microsoft Corporation (Redmond, WA)
-
Mobile Application Developer
- Leidos (Ashburn, VA)
-
(USA) Principal, Data Scientist
- Walmart (Bentonville, AR)
-
Experienced Software Engineer Java / Python (Full Stack or Back End)
- JPMorgan Chase (Plano, TX)