Weights & Biases

Principal Engineer role focused on leading the Benchmarking & Performance team at CoreWeave, a cloud provider for AI. The role involves defining strategy, leading end-to-end MLPerf submissions (Training & Inference), designing and implementing a Kubernetes-native benchmarking service for latency and throughput, and building CI/CD pipelines for scale. It requires deep expertise in distributed systems, GPU performance, model-serving stacks, and Kubernetes, with a focus on achieving industry-leading performance data and publications.

Staff Software Engineer on the Inference Platform Team at CoreWeave, focusing on building and operating a Kubernetes-native inference platform for AI workloads. The role involves technical leadership in architecture, performance optimization (latency, throughput, GPU utilization), and system reliability for low-latency, high-throughput systems at massive scale, with deep work in distributed systems and Kubernetes infrastructure.

Staff Technical Program Manager to lead cross-functional programs for AI/ML Platform Services, focusing on Cluster Orchestration (scheduling, launching, managing AI workloads) and Applied Training (enabling researchers to use infrastructure for pre-training, fine-tuning, RL, evaluations). The role involves partnering with engineering, product, and research teams to improve workload execution and user interaction with training platforms, driving delivery across various AI training workflows and ensuring successful launches and operational ownership.

Senior Software Engineer to design and build production-grade, full-stack AI-native analytics platforms and first-party applications that embed governed data directly into operational workflows. The role involves developing AI-enabled user experiences, scalable backend services, and intuitive interfaces, integrating AI/LLM capabilities into real-world applications.

CoreWeave is seeking a Principal Engineer to lead the design and evolution of their AI infrastructure's cluster orchestration systems, including Slurm, Kubernetes, and SUNK. This role involves defining long-term architecture, solving scaling problems, and ensuring the reliability and efficiency of GPU resource utilization for AI training and inference workloads.

Senior Software Engineer to lead development of agentic interfaces and product experiences for AI system observability, focusing on multi-tenant APIs, Grafana, and tool servers. Requires experience in backend systems, distributed APIs, reliability engineering, and agentic applications/LLM features.

Solutions Architect role focused on supporting customers running AI/ML workloads on CoreWeave's HPC cloud infrastructure, with an emphasis on AI/ML inference. Responsibilities include technical customer contact, solution design, proof of concept development, and workload optimization. Requires expertise in cloud computing, distributed systems, AI/ML inference, NVIDIA GPUs, and Kubernetes.

Senior Software Engineer II, Applied Training at CoreWeave, focusing on building and scaling Kubernetes-native research cluster platforms and sandbox client infrastructure for agentic training and evaluation. The role aims to provide AI labs with advanced research infrastructure, enabling them to focus on model training rather than operations. Responsibilities include contributing to the roadmap, designing cluster experiences, owning SDKs for agent rollouts and benchmarks, writing documentation, and working closely with large AI labs.

CoreWeave is seeking a Staff Software Engineer to join their Applied Training team. This role will focus on building and improving their Kubernetes-native research cluster platform and sandbox client for agentic training and evaluation. The goal is to provide AI researchers with the infrastructure needed to train models efficiently, abstracting away operational complexities. Responsibilities include contributing to the roadmap, designing and building cluster experiences, owning the Python SDK for agentic workflows, and documenting training frameworks. The ideal candidate has extensive experience in distributed systems, ML infrastructure, or developer platforms, with strong Kubernetes expertise and familiarity with AI training and agentic workflows.

CoreWeave is seeking a Senior Software Engineer to own and improve their Kubernetes-native inference platform, focusing on latency, throughput, and reliability. The role involves leading design, implementing optimizations, strengthening incident posture, and mentoring junior engineers. Requires experience with distributed systems, Kubernetes, and inference internals.

Senior Software Engineer focused on performance and benchmarking of AI infrastructure, including Kubernetes-native services, MLPerf runs, and model-serving stacks. The role involves building and improving services to measure latency, throughput, and cost, and ensuring reproducible benchmarking processes.

Senior Software Engineer role focused on developing AI agents and full-stack applications for internal enterprise systems. The role involves using frameworks like LangChain and LangGraph, building backend services, and integrating with various enterprise systems to automate tasks in Finance, Billing, and Supply Chain.

Software Engineer focused on improving the latency, reliability, and cost of model serving on a GPU platform, working with services like Triton, vLLM, and TensorRT-LLM.

Senior Software Engineer II focused on owning and optimizing CoreWeave's Kubernetes-native inference platform to meet strict P99 SLAs at scale. Responsibilities include leading design reviews, implementing advanced optimizations for latency and throughput, strengthening incident posture, and mentoring junior engineers. Requires strong experience in distributed systems, Python/Go, networked systems performance, Kubernetes, and ML inference internals.

Solutions Architect role focused on AI/ML inference workloads on high-performance compute (HPC) infrastructure, primarily using Kubernetes and NVIDIA GPUs. The role involves customer technical contact, solution design, proof of concept, workload optimization, and providing feedback to product teams.

Senior Systems Engineer focused on automating and scaling Linux OS and Kernel build pipelines, with a strong emphasis on integrating AI/ML technologies like LLMs, RAG, and predictive modeling to create AI-native infrastructure, smart CI/CD, auto-remediation, and predictive regression detection.

This role focuses on leading critical cybersecurity incidents, hunting adversaries, and building AI-powered tooling to enhance CoreWeave's defense capabilities at scale. The Senior Security Engineer will architect and build AI tools to accelerate threat detection and response, conduct deep technical investigations, and run a structured threat hunting program.

Software Engineer II, Developer Experience at CoreWeave, focusing on building and shipping features for the Developer Experience platform, including CI/CD, artifact management, and agentic AI tooling to accelerate developer workflows.

Senior Software Engineer focused on Developer Experience (DevEx) at CoreWeave, an AI cloud provider. The role involves designing and building platforms, services, and systems that enhance developer productivity, reliability, and the adoption of agentic AI tooling across the engineering organization. Key responsibilities include setting technical direction, architecting agentic developer platforms, and ensuring systems scale to serve thousands of instances.

Staff Software Engineer focused on Developer Experience, specifically owning the technical strategy and execution for the agentic developer platform. This role involves defining the architecture for CI, build infrastructure, test experience, delivery systems, and artifact management, with a strong emphasis on evolving agentic systems and autonomous workflows to improve developer productivity.

Manager, Technical Recruiting at CoreWeave, a cloud provider focused on AI. The role involves scaling engineering teams, including those focused on AI infrastructure, by leading a team of recruiters, developing hiring strategies, and managing full-funnel recruiting performance. Requires experience in technical recruiting for high-growth environments and leading recruiting teams.

Senior Manager, Observability Engineering to lead a team responsible for building, scaling, and operating observability systems across metrics, logs, traces, and telemetry pipelines. This role combines technical leadership, operational ownership, and team management to ensure observability platforms scale with business and customer needs, supporting AI infrastructure.

This role is for a Senior Manager of Data Infrastructure Services at CoreWeave, a cloud provider focused on AI. The manager will lead a team responsible for data infrastructures including managed databases, data ingestion, data flow, data lakes, and analytics. The role involves building and developing the engineering team, designing and implementing data services, improving performance and reliability, establishing data access guidelines, ensuring compliance with data protection regulations, and analyzing system data for improvements. The ideal candidate has experience managing data service infra teams, expertise in open table formats (Iceberg, DeltaLake, Hudi), and knowledge of production operations, reliability engineering, and data governance.

This role is for a Security Engineering Manager, Platform Security at CoreWeave, an AI hyperscaler. The individual will lead and scale the platform security engineering function, focusing on designing security into their Kubernetes-based platform and public cloud environments. Responsibilities include building and operating security controls, defining strategy for cloud security posture, workload isolation, platform guardrails, image integrity, and multi-cloud security. The role involves leading a team of platform security engineers and partnering with other engineering teams. The company emphasizes building and operating systems over writing policy.

This role focuses on building and scaling internal systems for Finance and Supply Chain, delivering AI-first, highly automated, and deeply integrated solutions. The Integration Engineer will design and build scalable integrations using Workato/Boomi, develop APIs, and enable real-time data movement across business-critical platforms, with growing exposure to GenAI-enabled automation.

CoreWeave is seeking a Sr. Engineer, Storage to design and implement distributed storage solutions for AI workloads. This role involves working with exabyte-scale object storage, distributed filesystems, and optimizing performance and reliability using technologies like RDMA, GPU Direct Storage, NFS, and FUSE. The engineer will also lead efforts in reliability, security, observability, and collaborate with various teams to ensure seamless storage capabilities. Experience with AI tools for software development and storage observability tools is required.

This role focuses on the reliability, scalability, and security of a data platform that supports internal AI workloads. The Senior Site Reliability Engineer will own the reliability and performance of a Kubernetes-based data platform, designing and operating highly available, multi-region systems, and ensuring services meet strict uptime and latency targets. Responsibilities include scaling infrastructure, improving deployment pipelines, hardening security, and evolving DevSecOps practices.

The role is for a Senior Software Engineer focused on building and evolving a planet-scale performance data warehouse for an AI cloud provider. The engineer will own the architecture for ingesting, storing, transforming, and surfacing performance data, turning raw events into actionable insights for engineering and business decisions. Key responsibilities include data lake architecture, schema design, time-series metrics infrastructure, BI/visualization, and query optimization. The role requires strong experience in distributed systems, data platforms, Python/Go, Kubernetes, data lake architectures, columnar databases, time-series databases, and BI tools. Experience with MLPerf or benchmarking GPU fleets is preferred.

CoreWeave is seeking a Senior Software Engineer to join their Cluster Orchestration team. This role will focus on advancing CoreWeave's orchestration platform, including SUNK (Slurm on Kubernetes) and their Kubernetes-native foundation, which powers AI training and inference at scale. The engineer will be responsible for ensuring workloads run seamlessly, reliably, and efficiently across massive GPU clusters, eliminating infrastructure bottlenecks and creating new orchestration capabilities to empower customers. The role involves owning multiple services, leading design/code reviews, decomposing projects, driving improvements in reliability and performance, defining SLIs/SLOs, strengthening operational practices, and mentoring junior engineers.

Senior Developer Relations Engineer for marimo, a next-gen Python notebook environment. Focuses on community growth, developer engagement, and bridging technical feedback between users and the engineering team. Requires software engineering, developer relations, and AI/ML/data science technical background.

CoreWeave is seeking a Staff Engineer for their Storage Engine Team to design and implement distributed storage solutions for AI workloads. Responsibilities include developing exabyte-scale S3-compatible object storage, integrating dedicated storage clusters, optimizing performance using technologies like RDMA and GPU Direct Storage, and improving reliability, durability, security, and observability of the storage stack. The role involves analyzing telemetry data, collaborating with cross-functional teams, and mentoring engineers. Requires 8-10+ years of experience in storage systems engineering, proficiency in systems programming languages (Go, C, Rust), and familiarity with storage protocols (S3, NFS) and systems (Ceph, DAOS).

This role focuses on designing, deploying, and maintaining Security Orchestration, Automation, and Response (SOAR) capabilities, developing automations that interact across various products and services, and enriching decision-making through integrations. The role will leverage AI tooling to provide context for security events and alerts, and requires writing production-quality code for internal security services. The ideal candidate is a detection engineer or incident responder with strong development skills in Python or GoLang, experience with Kubernetes and Git, and familiarity with SOAR platforms.

Staff Software Engineer role focused on advancing CoreWeave's orchestration platform (SUNK, Kubernetes) for AI training and inference at scale. Responsibilities include technical leadership, architectural direction, and ensuring seamless, reliable, and efficient workload execution on massive GPU clusters.

Senior Security Engineer role focused on designing, deploying, and maintaining Security Orchestration, Automation, and Response (SOAR) capabilities, developing automations that interact across multiple products and services, and leveraging AI tooling to provide context for security events. The role involves writing production-quality code for internal security services.

Weights & Biases is seeking a Post-Sales AI Solutions Engineer to help customers implement and scale AI/ML workflows and GenAI/agentic applications. This role involves designing and delivering technical enablement and adoption programs, creating reusable assets, and using product signals to improve customer outcomes. The ideal candidate has Python proficiency, experience with deep learning frameworks, and familiarity with cloud platforms.

This role is for a Security Engineering Manager focused on network security for an AI hyperscaler's infrastructure. The individual will lead a team, shape network security design, and ensure security scales with the platform, impacting performance, reliability, and isolation for demanding AI workloads. Responsibilities include strategy, design, DDoS mitigation, incident escalation, and defining security standards, with a focus on secure by design principles in high-performance networking environments.

Senior Cloud Support Engineer role focused on supporting AI workloads on a Kubernetes-powered HPC cloud infrastructure. Responsibilities include troubleshooting, mentoring, training, and improving support processes. Requires strong Kubernetes, Linux, and observability skills.

Solutions Architect focused on Kubernetes and HPC environments for AI/ML workloads, supporting customers in building, deploying, and optimizing their solutions on CoreWeave's cloud infrastructure.

CoreWeave is seeking a Senior Software Engineer II on the AI Workload Orchestration team to build and operate a Kubernetes-native platform for AI workloads. This role involves designing, building, and operating services for AI workload orchestration and scheduling, improving scheduling latency, cluster utilization, and workload reliability, and contributing to architectural discussions. The ideal candidate has strong experience in distributed systems, Kubernetes, and Go, with familiarity with AI infrastructure and scheduling concepts.

Staff Software Engineer on the AI Workload Orchestration Platform team, responsible for the technical vision and architecture of CoreWeave's Kubernetes-native orchestration strategy for AI workloads, including admission, scheduling, and governance across large GPU clusters using frameworks like Kueue, Volcano, and Ray. This platform supports both training and inference workloads.

This role is for a Senior Manager of Technical Solutions Management at CoreWeave, a cloud provider focused on AI workloads. The role involves leading a team that manages technical relationships with strategic customers, focusing on GPU infrastructure and AI applications. The primary responsibility is to ensure a seamless and reliable customer experience for AI workloads running on CoreWeave's platform. While the company is AI-focused and the role interacts with AI applications and infrastructure, the core function is customer support and management of technical relationships, not direct AI/ML model development or research.

Weights & Biases is seeking a Solutions Architect to manage complex customer deployments of their ML platform across various environments. The role involves SRE and SA skills, focusing on provisioning, monitoring, debugging infrastructure, and ensuring performance and scalability. It requires customer-facing engagement, technical problem-solving, and collaboration with internal teams to drive adoption and influence the product roadmap. The ideal candidate has strong infrastructure, Kubernetes, cloud, and Linux experience, with basic Python and familiarity with ML workflows.

Engineering Manager for CoreWeave's Cloud & Admin Consoles team, focusing on building and leading frontend/full-stack engineers to deliver intuitive and scalable user experiences for CoreWeave's AI cloud platform. Responsibilities include owning console features, information architecture, UI components, and collaborating with product/design, while also managing team growth and operational health.

CoreWeave is seeking a Senior Software Engineer for their Storage Engineer team. This role involves designing and implementing distributed storage solutions to support AI workloads, optimizing performance and efficiency, and improving the reliability and observability of their storage stack. The engineer will work with technologies like RDMA, GPU Direct Storage, and distributed filesystems, and collaborate with various teams to deliver seamless storage capabilities.

Senior Production Engineer role focused on building and operating critical tooling for cloud reliability, performance, and operational excellence. This role involves hands-on ownership of systems, leading technical projects, and improving operational foundations through durable engineering investments. The engineer will ship production code and participate in incident response, focusing on distributed systems, cloud-native technologies, and observability stacks.

Software Engineer role focused on designing, implementing, and maintaining cloud infrastructure, platforms, and internal tools, specifically to improve the efficiency, reliability, and scalability of systems for GPU performance testing and validation. The role involves working with Kubernetes, Go/Python, and enhancing visibility into system metrics.

This role focuses on engineering and maintaining infrastructure for GPU performance testing and validation. The engineer will design and implement solutions for large-scale infrastructure, develop Kubernetes-native controllers and operators, build backend services, and enhance visibility into system metrics. While the company is an AI cloud provider and the role touches AI/ML infrastructure, the core responsibility is infrastructure engineering and testing, not direct AI model development.

This role focuses on building and operating internal tooling for customer support, specifically developing AI-assisted workflows and AI-powered assistants to improve case triage, intelligent routing, knowledge retrieval, and resolution quality. The goal is to accelerate root-cause discovery and enhance customer experience.