Neural Network Jobs in Santa Clara
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Search Results - Neural Network Jobs in Santa Clara
Stealth AI Startup-Santa Clara
the roadmap across AI IP, neural network models, developer software, and silicon hardware.
This is a highly visible role for someone who can operate at the intersection of technology, market strategy, engineering, and customers , and translate emerging AI...
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Ahura Workforce Solutions-Santa Clara
neural networks and AI techniques to enhance threat detection, monitoring and risk scoring
• Integrate AI security tools and technologies across cybersecurity architectures, collaborating with data scientists, security engineers and other stake holders...
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NVIDIA Corporation-Santa Clara
for perception.
• Expertise in generating simulation assets, task definitions, and building Gym-style APIs to support neural network training.
Ways to stand out from the crowd:
• Master’s or PhD’s degree in Computer Science, Robotics, Engineering, or a related...
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Blue Signal Search-Santa Clara
including practical experience building, optimizing, and implementing complex neural network solutions in real-world environments.
• Strong background leveraging scalable machine learning platforms and parallel computing tools to support complex model...
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NVIDIA Corporation-Santa Clara
design practices and profiling tools like Nsight systems.
• AI knowledge and expertise: Deep Neural Network research and development experience with specialized domains.
• Published record of thought leadership in a technical area of simulation, robotics...
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Blue Signal Search-Santa Clara
to drive measurable system improvements.
• Collaborate across product and engineering to turn ambiguous challenges into scalable, production-ready solutions.
Skill Set
• Strong foundation in machine learning, neural networks, and modern model...
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NVIDIA Corporation-Santa Clara
environments.
• Design, implement, and optimize custom high-performance CUDA kernels tailored to emerging neural network architectures and workloads.
• Analyze complex hardware-software interactions to identify and resolve performance bottlenecks in both...
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Akkodis-Santa Clara
tools, and techniques.
• Understanding of neural network architectures such as CNNs, RNNs, LSTMs, and Transformers.
• Familiarity with speech digital signal processing and feature extraction techniques, including:
• FFT
• MFCC
• Mel spectrograms
• Audio...
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NVIDIA Corporation-Santa Clara
years working in the industry, including at least 8 years specializing in deep learning model optimization, inference engineering, or neural network compilation.
• Proficiency in understanding and reviewing model architectures at the operator/kernel...
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Opeongo-ai-Santa Clara
Experience with transformers, graph neural networks, diffusion or generative models applied to
structured scientific data
• Foundation model work — pre-training, adaptation, or rigorous evaluation
• Multimodal or cross-modal modeling, including work...
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Amazon-Santa Clara
deployment and updating of data-driven models and analytical solutions for machine learning (ML) and/or natural language (NL) applications. Develop and/or apply statistical modeling techniques (e.g. Bayesian models and deep neural networks), optimization...
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NVIDIA Corporation-Santa Clara
and then solving problems across all state-of-the-art neural networks.
• Implement production-quality software in multiple layers of NVIDIA's deep learning platform stack, from drivers to DL frameworks.
• Build and support NVIDIA submissions to the MLPerf Training...
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Ampace-Santa Clara
informed neural networks, neural operators) into fast multiphysics surrogate models.
4. Lead inverse-design using active learning and Bayesian optimization to cut physical trial-and-error and the number of DOE runs.
5. Design and maintain versioned, high...
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NVIDIA Corporation-Santa Clara
areas listed below can substitute for an advanced degree. Strong background in at least a few of the following relevant areas is required in your work history:
• Machine learning (with focus on Deep Neural Networks), including a solid understanding...
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NVIDIA Corporation-Santa Clara
or equivalent experience) with 5+ years of relevant experience; or MS with 8+ years of experience.
• Strong background in deep learning and neural networks, particularly in training.
• Solid understanding of computer architecture and familiarity with GPU...
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