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Senior engineer building and optimizing CoreWeave's Kubernetes-native AI inference platform to meet strict latency and reliability SLAs, using Python/Go, CUDA, and distributed systems.
Senior engineer builds and runs Kubernetes-native benchmarking services to measure latency, throughput, and reliability across CoreWeave’s global AI cloud, publishing results like MLPerf.
Develops and optimizes AI model-serving systems on GPU infrastructure, focusing on latency, reliability, and cost while working with tools like Triton, vLLM, and Kubernetes.
Leads architecture and performance for CoreWeave’s Kubernetes-native AI inference platform, optimizing low-latency, high-throughput systems and GPU resource management.
Write, profile, and optimize CUDA kernels for LLM inference to maximize throughput and minimize latency on NVIDIA GPUs, using DSLs like Triton or Mojo and benchmarking with MLPerf.
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading…
Staff Product Manager at CoreWeave owning the strategy, roadmap, and go-to-market for AI inference services on its GPU cloud platform — defining the inference product portfolio, engaging customers, and leading cross-functional teams. Requires deep knowledge of foundation-model inference, inference engines, and cloud-native infrastructure.
Source: Paraform - Compensation: $176,000-$224,000 base; OTE $220,000-$280,000 (80/20 base/variable, variable paid quarterly). Candidates with 10+ years may be considered above range. Meaningful equity on top of OTE.…
Contract, fully remote (offshore) role for an AI/ML Ops Engineer with 4–8 years' experience (3+ in MLOps). Day to day: build automated pipelines to train, deploy, and monitor ML and generative AI/LLM systems using Kubeflow, MLflow, SageMaker, Docker/Kubernetes, and LLMOps tooling; a cloud ML certification is mandatory.
About the Team Our DD Labs team builds real-time autonomous delivery systems. The Planning & Decision-Making group is investing heavily in deep reinforcement learning to move beyond classical planning, learning…
Engineer on DoorDash's GenAI Platform team building production ML infrastructure: real-time GPU serving and high-throughput batch inference for open-weight LLMs/VLMs, plus fine-tuning (SFT/DPO/LoRA), LLM Gateway, evals, guardrails and cost attribution. Core stack: Python, distributed systems, GPU inference engines, Kubernetes, AWS/GCP.
Job Summary: T3i builds mission-critical unmanned systems designed to improve U.S. forces' operational effectiveness and battlefield lethality. Our Blackfoot platform is a tactical FPV drone system engineered for…
Über unseren Kunden Unser Mandant ist ein international tätiges IT-Dienstleistungs- und Beratungsunternehmen, das Unternehmen und öffentliche Auftraggeber bei der sicheren digitalen Transformation unterstützt. Im Fokus…
Senior engineer designing guidance, navigation and control (GNC) systems for UAV platforms (multirotor, fixed-wing, VTOL) within an R&D engineering team at a software services company. Day-to-day covers control algorithms, state estimation, sensor fusion (GNSS/INS, radar, cameras) and PX4/ArduPilot integration, taking systems from simulation and SIL/HIL testing to field validation, using Python, C
Safran.AI - De l'IA qui opère dans le réel Filiale de Safran Electronics & Defense, Safran.AI conçoit des solutions d'IA appliquées à des données complexes telles que les images satellite haute résolution,…
About the role: At Quantum Systems, we are building highly autonomous interceptor systems that must perceive, decide, and act under extreme latency, motion, and environmental constraints. We are looking for a Computer…
聚焦推理引擎底层与集群稳定性，通过深度分析、压测注入、可观测数据挖掘，主动发现性能瓶颈与隐患，协同研发团队闭环解决，系统性提升推理SLA与资源效能 1. 引擎底层问题挖掘与根因分析 深入vLLM、SGLang、TensorRT-LLM等推理引擎源码，通过Profile、Trace、日志分析等手段，主动识别算子调度、显存分配、KV Cache管理、通信同步等底层性能缺陷与逻辑异常。…
Software Engineer for Humanoid Robot Programming Requirements: Degree in Robotics, Computer Science, Mechatronics or related field. At least 2 years of professional experience programming mobile or legged robots that…
Builds and optimizes large-scale AI model inference pipelines: deploying models efficiently with PyTorch, TensorRT, and vLLM, and improving performance through quantization, kernel fusion, efficient batching, and system-level debugging. Requires strong C/C++ or Python systems skills and 2+ years developing software targeting AI hardware.
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