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Hands-on principal engineer designing and building Radiant's AI cloud backend in Go — GPU orchestration, inference-serving infrastructure, and core platform APIs on Kubernetes — while leading architecture reviews, setting technical standards, and mentoring engineers across squads.
Build and maintain agentic infrastructure for aerospace systems, including local LLM inference, multi-agent systems, and production-grade compute environments to support rocket development and factory operations.
Build and maintain agentic infrastructure for aerospace systems, including local LLM inference, multi-agent systems, and production-grade compute environments to support rocket development and manufacturing.
Builds and scales backend systems for an AI-powered search platform, focusing on performance, reliability, and open-source contributions.
Senior data platform engineer who owns and operates ILIAS Solutions' production data stack — Spark on Kubernetes, Delta Lake on MinIO, PostgreSQL — deployed across 10+ defense customer sites, some air-gapped. Day to day: deploying, monitoring and upgrading the stack, building Python/Java backend services, packaging Helm charts and offline bundles, and leading a Docker Swarm to RKE2 migration.
Zimperium, a mobile cybersecurity company, seeks a Lead DevOps Engineer in Bangalore to own the delivery, model-serving, routing, and observability layers of its AI platform — building CI/CD/GitOps pipelines, running GPU inference (Ray/vLLM/Triton), and managing cost attribution and telemetry across cloud, on-prem, edge, and air-gapped environments.
Who We Are You've ordered dinner through Just Eat Takeaway. You've bought and sold on OLX. You've paid with PayU. Chances are, you've already used a Prosus company today. We are Prosus, a global…
Owns the architecture and technical direction of AMD's large-scale HPC and AI infrastructure, designing CPU/GPU platforms across on-prem, public cloud, and specialized GPU providers. Day to day covers reference architecture, Slurm/Kubernetes workload placement, RDMA networking and parallel storage design, benchmarking, security, and mentoring engineers alongside SRE and research teams.
About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through…
A customer-facing ML architect role on Nebius Token Factory (serverless LLM inference/fine-tuning platform) in Tel Aviv: designing optimized LLM inference workflows, fine-tuning (SFT/LoRA/RFT) and RAG-based solutions for clients, and feeding feedback into the platform. Core stack: Python, vLLM/SGLang/TensorRT-LLM, Transformers, OpenAI/Anthropic APIs, Docker/Kubernetes.
Senior Applied Scientist at Nebius Token Factory owns research projects in efficient LLM/VLM inference — quantization, distillation, speculative decoding, KV-cache optimization, MoE routing — taking them from hypothesis through experiment to production handoff while publishing. Core stack: Python, PyTorch, Triton/CUDA tooling, and inference-serving frameworks.
Senior Applied Scientist at Nebius designs and optimizes efficient LLM/VLM inference methods, turning research into production systems using PyTorch, CUDA, and Triton.
Senior Machine Learning Engineer at Nebius in Palo Alto optimizing LLM inference systems for performance, cost, and reliability using frameworks like vLLM and PyTorch.
Technical Product Manager building an AI cloud platform that supports training and inference at scale, focusing on GPU orchestration, reliability, and developer experience.
Early-career ML Solutions Architect builds and tests LLM-based applications, benchmarks models, and optimizes inference on a serverless AI platform, learning scalable AI deployment with mentorship from senior architects.
Senior engineer embedded with customers to design, build, and deploy cloud infrastructure that runs physical AI workloads like simulation, training, and inference on Nebius's AI cloud platform.
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