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About Neurophos The demand for new data centers and AI compute is rapidly outpacing the planet's energy capacity. Digital solutions are hitting a power wall as we approach the physical limits of traditional…
Lead the AI/ML architecture and strategy for Netskope’s cloud security platform, designing scalable inference systems and optimizing LLMs for enterprise-grade security applications.
Machine Learning Engineer at Netskope AI Labs building, optimizing, and deploying enterprise-scale AI solutions, particularly focusing on LLM inference optimization using technologies like vLLM, SGLang, and KV Cache optimization.
Lead the AI inference and optimization layer for agentic workflows, tuning models and runtimes for latency, throughput, and memory efficiency on real hardware within a cloud security company.
About US:- We turn customer challenges into growth opportunities. Material is a global strategy partner to the world’s most recognizable brands and innovative companies. Our people around the globe thrive by helping…
Build and scale the shared infrastructure that powers DoorDash’s generative AI products, including real-time and batch LLM inference, fine-tuning, and agent platforms across San Francisco, Sunnyvale, and Seattle.
The Role We are looking for a Machine Learning Engineer to help build cutting edge ML infrastructure for building and serving LLM’s at Moveworks. This role will be critical in building, optimizing and scaling…
About Telnyx Telnyx is an industry leader that's not just imagining the future of global connectivity—we're building it. From architecting and amplifying the reach of a private, global, multi-cloud IP network ,…
Builds and scales a high-throughput AI inference API in Rust, owning model serving, routing, and observability for global developer access.
Builds and optimizes high-performance AI inference systems in C++ to serve millions of users with low latency and high reliability, using GPU engines like vLLM and Triton.
Designs and optimizes low-precision reinforcement learning inference systems for large-scale workloads, working with Python, C++, Rust, PyTorch, JAX, and CUDA.
Principal ML Infrastructure Engineer at Roblox builds and scales the machine learning systems that power ads and discovery for hundreds of millions of users, using large-scale training, inference, and feature pipelines.
OpenTeams is hiring a Senior Infrastructure Engineer to build and operate a Kubernetes-based platform powering secure AI test and evaluation for U.S. Government teams. Day-to-day work spans GPU scheduling, multi-tenant isolation, GitOps/IaC (Terraform, OpenTofu, Helm, Argo CD), observability, and hardened deployments for restricted or air-gapped environments.
Builds and deploys small language models that enforce real-time AI governance policies, undoing harmful agent actions while optimizing for latency and cost in enterprise environments.
Build and maintain the cloud infrastructure that powers SambaNova’s AI inferencing service, ensuring high availability, low latency, and scalable performance across regions.
Build and deploy production AI systems for customers by designing end-to-end workflows, integrating AI infrastructure, and collaborating with engineering/product teams using Python, Go, React, and cloud-native tools.
Research Engineer at Lightning AI to optimize AI training and inference workloads on PyTorch Lightning infrastructure, improving performance and scalability for production systems.
Build and optimize PyTorch-based training and post-training pipelines for large language models, improving model quality and training efficiency while collaborating with research and infrastructure teams.
Senior DevOps/MLOps Engineer at VinFast (EV maker) who builds and runs the infrastructure behind its Agentic AI and VoiceAI systems: deploying LLM model serving on AWS EKS with GPU optimization (vLLM, Triton), plus IaC, CI/CD, auto-scaling and observability for ultra-low-latency production AI services.
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