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Build and scale GPU infrastructure for training tabular foundation models, optimizing Slurm clusters on GCP and planning multi-provider expansion to support high-throughput, cost-efficient ML workloads.
Lead Developer Relations for NVIDIA’s AI platforms in India, engaging ML researchers and startups to adopt GPU-accelerated AI workflows and optimize model training and inference.
Pre-sales architect advising large enterprises on integrating Claude into their tech stack, designing LLM solutions, and ensuring safe, scalable AI deployments.
Designs and builds scalable learning experiences (eLearning, videos, job aids) for Blue Origin employees using authoring tools and AI-assisted workflows.
As a Global Account Manager, Developer Relations, you'll be responsible for the technical charter for advancing integration of NVIDIA's libraries, models, and frameworks across one of our largest and most…
As a Global Account Manager, Developer Relations, you'll be responsible for the technical charter for expanding integration of NVIDIA's libraries and frameworks across one of our largest and most strategic…
RELOCATION ASSISTANCE: No relocation assistance availableCLEARANCE REQUIRED FOR START: YesCLEARANCE TYPE: SecretTRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities…
Build and scale generative AI models (diffusion, multimodal) to power autonomous humanoid robots, training and deploying systems for perception, simulation, and reasoning.
Build and train large-scale AI foundation models for humanoid robots using multimodal data (text, vision, robot experience) to enable real-world autonomy.
Develops reinforcement learning systems for autonomous humanoid robots, training policies in simulation and real-world environments to enable complex, long-horizon behaviors.
Develops large-scale video foundation models for humanoid robot autonomy by training on real-world and robot-collected video data to capture motion, interaction, and temporal structure.
Design and optimize large-scale AI training and inference clusters for enterprise clients, benchmarking performance and creating reference architectures for NVIDIA GPU-based systems.
Build AI-driven optimization loops that propose, validate, and iterate on compute workload and hardware improvements using agentic systems, performance engineering, and hardware-aware techniques.
Build and maintain scalable ML systems for reinforcement learning, inference, and evaluation that power AI-driven engineering workflows, integrating with compilers, profilers, and simulators.
Principal-level engineer optimizing AI model training and inference performance, reliability, and efficiency across large language models, diffusion models, and recommendation systems using frameworks like PyTorch and TensorFlow.
Develops advanced AI models for clinical simulations and drug development, focusing on transformers, foundation models, and biomedical data analysis to predict patient outcomes and optimize trial design.
Senior ML Ops Engineer (Machine Learning Infrastructure) Location: Los Angeles, CA Department: Perception Parallel Systems is pioneering autonomous battery-electric rail vehicles designed to transform freight…
Principal Software Engineer, E2E Performance and Goodput — CSP Engagements Location: US, CA, Santa Clara, US, TX, Austin, US, OR, Remote, US, CA, Remote Time Type: Full time Job Description We're looking for a…
Senior Technical Program Manager, GenAI and Models Location: US, CA, Santa Clara, US, Remote Time Type: Full time Job Description How do bold AI research ideas become diligent training, evaluation, and production…
Lead end-to-end design and delivery of large-scale AI systems for federal programs, building Python-based LLM and generative AI solutions with cloud-native architectures and MLOps pipelines.
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