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
A 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
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 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 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 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 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
The Perception team is pioneering the development of a multi-modality foundation model to drive the next generation of autonomous system intelligence. As a Model Optimization & Deployment Engineer, you will focus on bringing highly efficient, production-ready large-scale models to our on-vehicle
A leading automotive company is seeking an AI Engineer to design and optimize neural network architectures for autonomous driving and robotics. The role emphasizes collaboration with hardware teams to enhance efficiency and involves implementing innovative model deployment strategies. Successful can
A leading automotive company based in Palo Alto seeks a Research Scientist specializing in quantized deep learning models for hardware acceleration in autonomous systems. This role involves researching advanced perception algorithms and developing optimization pipelines to ensure real-time performan
Summary Provides post-production support by performing the following duties. Essential Duties and Responsibilities include the following. Other duties may be assigned. Pours models using a spatula. Makes sure end result is free of bubbles Grinds models to appropriate thickness using the model trimme
2 weeks ago
Estimated salary for Edge Model Optimizations in San Francisco
$40,000 – $63,000/year
Estimation confidence: Low
Estimate based on market data for San Francisco. Actual salaries may vary depending on experience, company, and area.