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Role Overview As Senior Director, Data Center Training, you will own the global training strategy, operating model, and execution framework that prepares Oracle Cloud Infrastructure data center teams to operate safely,…
About Flexion At Flexion, we are building the autonomy stack for humanoid robots. Our mission is to drive the transition from fragile prototypes to real-world deployments of humanoids. We were founded by leading…
About Centific Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe,…
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…
Software engineer on the Neuron Runtime team at Annapurna Labs (AWS) building and maintaining high-performance C++ runtime libraries, drivers, and a profiler for AWS Inferentia and Trainium ML accelerator chips, supporting frameworks like PyTorch, JAX, and XLA, and operating distributed services on AWS.
Builds and scales the distributed training infrastructure behind large AI models — GPU clusters, fault tolerance, checkpointing, and developer tooling for AI researchers. Core tech: distributed training frameworks (PyTorch Distributed, DeepSpeed, Megatron-LM, Ray), large-scale GPU clusters, and Kubernetes, in a hybrid Bellevue, WA role.
Builds and scales distributed training infrastructure for large AI models across multi-node GPU clusters — fault tolerance, checkpointing, recovery, and tooling that makes training reliable, efficient, and cost-effective. Core work spans distributed training frameworks (PyTorch Distributed, DeepSpeed, Megatron-LM, Ray), Kubernetes, and production ML pipelines, hybrid out of Bellevue, WA.
Design and scale the distributed systems and GPU clusters that power large-scale AI model training, integrating with pipelines and optimizing reliability and efficiency.
Sellers & Associates is seeking a Mid Systems Analyst (LVCt) to provide analytical, technical, and programmatic support to the Naval Information Warfare Systems Command (NAVWAR) Training System Program Office…
Principal ML Engineer builds next-gen foundation models from petabyte-scale telematics data to assess driver risk, detect crashes, and improve road safety using transformers and self-supervised learning.
Build and scale deep learning frameworks on PyTorch for distributed training, design data strategies for large-scale defence AI systems across GPU clusters.
Who We Are Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics.…
About Sarvam Sarvam is building the bedrock of Sovereign AI for India. The company is developing India’s full-stack sovereign AI platform, building across research, models, infrastructure and applications with a…
About Sapience AI Sapience AI is the collective intelligence platform for professional communities. We sit above the CRMs, AMS platforms, and knowledge bases that organizations already run, and we turn the expertise…
At Digital Turbine, we make mobile advertising experiences more meaningful and rewarding for users, app publishers, and advertisers — intelligently connecting people in more ways, across more devices. We provide app…
The Role We are seeking a Senior ML engineer to design and evolve Unity Vector’s online model inference platform. This role focuses on building reliable infrastructure for serving machine learning models in production,…
Who We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production…
Build and optimize ML infrastructure powering self-improving AI systems across distributed training/RL, inference serving, and GPU kernels. Day-to-day work involves GPU scheduling, checkpointing, KV-cache and batching optimization, and CUDA/Triton kernel development alongside researchers.
Senior AI Product Manager at Firmus Technologies in Singapore, acting as the product-definition, delivery-planning, and release-execution lead for the AI & Applications team. Day to day this means owning the sprint-based roadmap for GPU cloud capabilities like workload orchestration, benchmarking, training/inference recipes, and agentic applications, using agile practices.
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