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ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology can change lives for the better. It can heal us, entertain us, and make us more connected, productive, and understanding of the world around us. And…
Build and deploy scalable AI systems that turn physical-world data into enterprise intelligence, focusing on energy efficiency and sustainability across industries.
Lead the design and development of AI-driven robotics systems for Dyson’s vacuum robots, focusing on perception, sensor fusion, and adaptive cleaning behaviors using C++/Python and ML frameworks.
Build and optimize low-level AI kernels (GEMM, attention, quantization) for Meta’s custom AI chips, shaping hardware-software co-design to maximize performance for billions of users.
Own the AI inference performance roadmap at NVIDIA, turning deep optimization techniques into products that improve latency, efficiency, and cost per token across the inference stack for LLM deployments.
Develops and optimizes 2D traffic sign detection models for autonomous driving using PyTorch, TensorRT, and ONNX, from data curation to edge deployment.
Designs and optimizes large-language-model inference systems, quantizing models, deploying LLMs, and scaling GPU-based pipelines for low-latency production use.
Designs and optimizes AI model architectures for specialized hardware, mapping model requirements to efficient silicon implementations and improving performance and scalability.
Lead AI inference optimization and deployment for autonomous-vehicle models, tuning low-latency pipelines on embedded and cloud GPUs with CUDA, TensorRT, and LLM serving stacks.
Optimize and port AI inference/training kernels across NVIDIA, AMD, TPUs, and emerging accelerators, designing portable abstractions for SGLang and Miles.
Builds and optimizes AI-powered legal RAG pipelines using Qdrant, hybrid search, and LLM providers (Anthropic, OpenAI, YandexGPT) to retrieve and rank relevant legal documents from a 23M+ corpus.
Build and deploy clinical-grade computer vision models for dermatology, owning the full ML lifecycle from research to cloud deployment on AWS/GCP.
Designs and runs evaluation harnesses, adversarial tests, and predictive models to improve a suite of small, self-hosted LLMs powering an enterprise AIOps platform.
About Boon Boon is the professional AI platform built specifically for construction. Founded in the San Francisco Bay Area in 2023 by product and engineering leaders from Samsara, Apple, Google and DoorDash. Boon is…
Build and own the AI platform powering legal AI agents and accelerators, including orchestration, retrieval, evaluation, and inference at scale for document-heavy legal workflows.
Musashi AI North America, Inc. is a growing hardware and software focused company that builds smart vision solutions for quality assurance in manufacturing environments. Based in Waterloo, Ontario, Musashi AI North…
Senior ML Engineer builds and improves computer vision models (segmentation, diffusion, LLMs/VLMs) for photo-editing software, from research to production, using Python and PyTorch.
Principal engineer leading backend and ML infrastructure at a Series-C conversational AI company, scaling real-time speech/NLP systems, GPU fleets, and inference pipelines for enterprise contact centers.
Own and optimize the CI/CD infrastructure for SGLang, an open-source LLM inference engine, ensuring fast, reliable, and secure test pipelines across multiple GPU hardware pools.
Designs and implements digital signal processing algorithms in MATLAB/Simulink or Python, converts them to fixed-point HDL for FPGA deployment, and collaborates with hardware teams to bring up and tune DSP-based systems across industries like communications, aerospace, and medical devices.
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