5 edge model optimizations opportunities in Santa Clara updated today
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NVIDIA is at the forefront of the AI revolution, specifically in the constantly evolving field of Embodied AI. We are seeking a high-caliber Deep Learning Engineer to bridge the gap between cutting-edge multimodal architectures and real-time robotic execution for autonomous vehicles. In this role, y
NVIDIA is at the forefront of the AI revolution, specifically in the constantly evolving field of Embodied AI. We are seeking a high-caliber Deep Learning Engineer to bridge the gap between cutting-edge multimodal architectures and real-time robotic execution for autonomous vehicles. In this role, y
Quadric Inc.A leading technology company in California is seeking an AI Inference Engineer to bridge AI models with unique platforms. Key responsibilities include model optimization, deployment, and performance profiling. Candidates should have a Bachelor’s or Master’s degree, 5+ years' experience in AI framewo
quadric.io, IncA leading technology firm in California is seeking a Data Scientist focused on model optimization. You will design experiments and work with neural networks to enhance their efficiency on the Chimera GPNPU. Ideal candidates should have an M.S./Ph.D. in relevant fields, with at least 5 years of exper
NVIDIA is at the forefront of the generative AI revolution! The Algorithmic Model Optimization Team specifically focuses on optimizing generative AI models such as large language models (LLM) and diffusion models for maximal inference efficiency using techniques ranging from quantization, speculativ
Quadric has created an innovative general purpose neural processing 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 and endpoint devices, ranging from battery operated smart-sensor systems to
QUADRIC PTY LTDQuadric has created an innovative general purpose neural processing 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 and endpoint devices, ranging from battery operated smart-sensor systems to
quadric.io, IncQuadric has created an innovative general purpose neural processing 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 and endpoint devices, ranging from battery operated smart-sensor systems to
quadric.io, IncQuadric has developed an innovative general purpose neural processing unit (GPNPU) architecture. Our co-optimized software and hardware are designed to run neural network (NN) inference workloads across various edge and endpoint devices, from battery-operated smart sensors to high-performance automo
quadric.ioQuadric has created an innovative general purpose neural processing 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 and endpoint devices, ranging from battery operated smart-sensor systems to
WaymoWaymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thou
IntrinsicIntrinsic is an AI robotics group at Google aiming to reimagine the potential of industrial robotics. Our team believes that advances in AI, perception and simulation will redefine what's possible for industrial robotics in the near future – with software and data at the core. Our mission is to make
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving tho
A company is looking for a Multimodal AI Model Optimization Research Engineer. Key Responsibilities Optimize cutting-edge research models for efficiency and production readiness through techniques like sparsification, distillation, and quantization Manage the optimization lifecycle for key models, d
$40,000 – $63,000/year
Estimation confidence: Low
Estimate based on market data for Santa Clara. Actual salaries may vary depending on experience, company, and area.
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