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Ready to help developers and researchers get more from open AI models? At NVIDIA, our team improves support for leading community models such as Nemotron, Llama, Gemma, DeepSeek, and Qwen. As a Product Manager for Open…
Your work days are brighter here. We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and…
Senior fullstack engineer at PALMET's in-house technology arm building enterprise software for energy operations (natural gas distribution to power generation). Day to day: end-to-end design of frontend, backend and database layers — React/Angular/Vue SPAs, microservices with Entity Framework Core on MSSQL/PostgreSQL, event-driven flows with RabbitMQ/Kafka — containerized in Docker and delivered v
Senior MLOps Engineer owning CI/CD pipelines, release engineering, and GPU infrastructure for LMCache, an open-source AI performance project. Core tech: GitHub Actions, self-hosted GPU runners (H100/A100), Terraform, Docker, Python packaging, and Kubernetes.
Builds production ML/AI services end to end: multimodal ETL/ELT pipelines, RAG systems, and CV/NLP/LLM model integration via vLLM, SGLang, PyTorch and ONNX with GPU inference optimization, plus async Python services, prompt engineering, guardrails, testing and CI/CD. Remote or hybrid from Moscow.
1. KVCache 核心系统研发，负责 LLM 推理场景下 KVCache 的架构设计与工程实现，优化 KVCache 的内存管理、显存分配与生命周期调度策略，研究并实现 Prefix Cache、Radix Tree Cache 等高效缓存复用机制，提升 Cache Hit Rate。 2. 设计跨机、跨节点的分布式 KVCache 共享与迁移方案，实现 KVCache 在 GPU HBM / CPU DRAM / NVMe…
A PhD internship on Apple's Ads team in Hyderabad, contributing to machine learning for Apple's advertising platforms (App Store, News, Maps ads) — developing and deploying ML models, analyzing large-scale data, and writing production code for ad relevance, forecasting, and performance. Core stack: Python/Java/Scala/C++, TensorFlow/PyTorch, Spark, and distributed systems.
Build, train, and deploy AI models for drug discovery in a co-innovation lab with NVIDIA. The role involves full-stack development, distributed training on multi-GPU infrastructure, and creating tools for scientists using Python, PyTorch, and cloud platforms.
Builds performance-critical GPU kernels (attention, matrix multiplication, mixture-of-experts, low-precision FP8/FP4 compute) for River AI's training and inference infrastructure. Day to day: profiling workloads, writing kernels with CUDA/Triton/CUTLASS in C++ and Python, and integrating optimizations into training and serving runtimes.
Builds and optimizes the model-serving runtime behind River's AI API — request scheduling, continuous batching, KV-cache management, and multi-GPU execution — to deliver fast, reliable, cost-efficient inference for large transformer models and RL sampling workloads. Core stack: Python, C++/Rust, CUDA, and frameworks like vLLM/SGLang/TensorRT-LLM.
You will spend your time making large language models run faster, cheaper, and more reliably in production That means owning the inference stack end to end: profiling where time and cost go, bringing modern…
As a Senior Machine Learning Engineer on the Defensive Agent team, you’ll be the person who gets our defensive models into production and keeps them there Our AI researchers define how NodeZero’s agents should reason.…
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping…
Discernis builds AI-driven document intelligence for legal teams, running on-prem and in customer-controlled environments. This engineer leads the core AI systems: designing LLM workflows (agentic orchestration, prompt engineering, retrieval, post-training), owning evaluations/benchmarking, and optimizing self-hosted model serving, primarily in Python with vLLM.
Founding-level platform engineer at GLBNXT who owns the production infrastructure of a sovereign European AI platform: CI/CD, infrastructure-as-code, Kubernetes, LLM inference on EU-hosted cloud, and observability (Prometheus, Grafana, OpenTelemetry), while hardening the stack for ISO 27001, NIS2, and EU AI Act compliance.
We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your…
Build the core LLM inference runtime for an AI infrastructure startup: batching, scheduling, routing, KV-cache/prefix caching, and multi-GPU model serving in Rust, plus profiling and architecture decisions with the founding team. Full-time onsite in San Francisco or the South Bay Area; $230k-$350k base plus equity.
Principal Full-Stack AI Engineer — Platform Architect Location: Hybrid / New York, NY (flexible for exceptional candidates) Level: Principal / Staff (individual contributor) The most senior engineer on the team and the…
