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The role: Own the loop from raw robot experience to a model running on real hardware. Munari observes what robots see, sense, decide, and do. We want to use that data to detect abnormal behavior, understand failures,…
Evangelize Modular’s MAX AI inference and serving platform through technical content, benchmarks, and community engagement to help developers deploy models efficiently.
Build and deploy large-scale machine learning models and AI agents to optimize Micron’s semiconductor manufacturing workflows using distributed training and GPU optimization techniques.
Senior Computer Vision Engineer builds and optimizes ML SDKs, ports models to edge/cloud hardware, and automates deployment pipelines using C++ and Python.
Architect next-gen low-power SoCs at NVIDIA, balancing power, performance, and area while collaborating with CPU, GPU, and memory teams to meet product requirements and customer needs.
Design and deploy generative AI and LLM inference solutions on NVIDIA GPUs, optimizing performance and collaborating with customers and internal teams.
Design and prototype GPU-accelerated AI solutions for power-grid modernization, forecasting, and resilience using NVIDIA’s stack (CUDA, RAPIDS, Modulus) and Python.
Build AI-driven tools to automate gameplay testing and validate NVIDIA GPUs using deep learning, reinforcement learning, and generative models.
Build and optimize NVIDIA’s deep-learning inference stack (TensorRT, TensorRT-LLM) by profiling models, writing GPU kernels, and integrating OSS frameworks to maximize GenAI performance across datacenter and edge GPUs.
Performance Engineer optimizing deep learning and HPC frameworks on NVIDIA GPUs, automating benchmarks, and analyzing results for marketing and engineering teams.
Build and optimize deep-learning models for autonomous-vehicle perception, prediction, and planning using PyTorch/TensorFlow and C++.
Data Scientist - Computer Vision Location: Bangalore Area Time Type: Full time Job Description Job Description: Description : At Airbus, we are harnessing the power of artificial intelligence to enhance efficiency and…
Build and optimize CUDA features for AI frameworks like PyTorch and TRT-LLM, improving multi-GPU performance and distributed runtime for training and inference workloads.
Senior engineer building and optimizing NVIDIA’s Dynamo inference platform, integrating open-source frameworks like vLLM and TensorRT-LLM to maximize AI throughput and latency.
Design and deploy AI/ML solutions on cloud GPU platforms, collaborating with customers to integrate NVIDIA’s full stack of hardware and software technologies.
Build and maintain scalable CI/CD infrastructure for NVIDIA’s TensorRT Edge-LLM, automating builds, tests, and deployments across embedded and cloud platforms using tools like GitLab, Kubernetes, and Docker.
Build and improve Avito’s in-house large language models by designing experiments, training pipelines, and optimizing inference for production use.
Own the end-to-end integration of AI/ML models into Adobe’s imaging products, optimizing and shipping models for Photoshop, Lightroom, and Camera Raw.
Senior ML engineer building scalable GenAI inference pipelines and APIs that power Adobe’s Firefly, Photoshop, and other creative tools using PyTorch, CUDA, and diffusion models.
Design and deploy enterprise-grade AI systems—from LLMs to robotics—using Python, PyTorch, and MLOps, ensuring scalable, secure, and commercially viable solutions.
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