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Build and optimize computer-vision models for Datature’s MLOps platform, integrating cutting-edge neural networks and prototyping new vision algorithms for clients in niche domains like medicine and agriculture.
Lead Amgen’s AI Studio team to design, build, and scale enterprise AI products (GenAI, RAG, agents) and automation platforms, ensuring scientific credibility, operational reliability, and responsible governance across departments.
Lead the design, development, and deployment of production-grade AI/ML systems, including LLMs and agentic AI, while optimizing models for edge environments and guiding scalable MLOps pipelines.
Principal AI Software Engineer at Northrop Grumman builds and deploys large language models, NLP/NLU systems, and AI-driven decision tools for defense applications using PyTorch, TensorFlow, and cloud platforms.
Develop and deploy AI/ML models (LLMs, NLP, computer vision) for defense systems, focusing on explainable AI and sensor/data fusion, using frameworks like PyTorch and TensorFlow.
Optimize and accelerate LLM inference and training systems like SGLang and Miles by profiling GPU performance, writing custom kernels, and enabling new models on modern hardware.
About the role Lead the micro-architecture and RTL design for Mixed-Signal chiplet focused on intelligent power optimization solutions for AI and high-performance computing. What you'll do Micro-architect and own…
Design and deploy deep-learning perception models for ADAS in commercial EVs, optimizing neural networks for embedded automotive hardware.
Research scientist building and fine-tuning vision and language models, improving robustness, efficiency, and training pipelines using PyTorch/JAX.
Build and operate a secure, scalable platform to host large language models, integrating GPU clusters, MLOps pipelines, and observability while optimizing inference performance and tenant isolation.
Lead AI Engineer builds and deploys agentic AI systems, RAG pipelines, and ColBERTv2 architectures while optimizing models and ensuring compliance.
Lab Summary: Advanced Intelligence Lab at Samsung Research America is working towards a vision of a world-class voice assistant that provides a unified AI experience across multiple devices (Galaxy Smartphones, Galaxy…
Design and partition cutting-edge AI models (e.g., Transformers) for custom silicon, mapping them to heterogeneous ASICs before hardware tape-out and ensuring cycle-accurate performance.
Architects end-to-end AI solutions spanning edge devices, cloud, and IoT for smart cities and industrial systems, optimizing for latency, power, and scale.
Lead the engineering and deployment of production-grade generative AI systems, including LLMs and multimodal models, with a focus on scalability, reliability, and MLOps in an enterprise energy-tech environment.
Build and deploy ML models using TensorFlow and NLP, quantize models for mobile, and analyze large datasets to enhance products.
Designs and optimizes the microarchitecture of an AI accelerator (NPU) core, mapping deep-learning workloads to hardware and guiding PPA trade-offs for edge ASIC chips.
Research and develop deep-learning models optimized for AI semiconductors (NPUs), including quantization, pruning, and tooling for training and deployment.
Develops and optimizes compilers and quantization/pruning techniques to accelerate AI semiconductor inference, converting models across frameworks and improving performance for NPU deployment.
Design and deploy deep-learning perception models for autonomous systems, focusing on computer vision and edge deployment using frameworks like PyTorch or TensorFlow.
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