Senior Software Engineer - ML Infrastructure ClaryoSenior Software Engineer - ML InfrastructureSan Francisco, CaliforniaYou'll own the end-to-end lifecycle of computer vision models — from training pipelines through optimized cloud deployment — ensuring our cutting-edge computer vision and multi-modal AI systems run reliably and efficiently in production. You'll work closely with our research scientists, computer vision engineers, and product teams to bridge the gap between experimental models and production-ready systems that operate across diverse warehouse environments.
Member of Technical Staff - Infrastructure Gimlet LabsMember of Technical Staff - InfrastructureSan Francisco, CaliforniaYour work will determine how new hardware is brought online, how clusters are provisioned and operated, and how production inference systems remain reliable as the fleet scales. You will build systems that abstract differences between accelerator architectures, make new hardware production-ready, and improve the reliability and operability of Gimlet’s infrastructure.
Member of Technical Staff - GPU Infrastructure Hyperbolic LabsMember of Technical Staff - GPU InfrastructureSan Francisco, CaliforniaYou'll work at the cutting edge of cloud infrastructure, building the core orchestration layer that enables our platform to deliver up to 75% cost savings compared to traditional cloud providers. Experience with storage and data infrastructure for AI/ML workloads, including object storage, high-IOPS block storage, and distributed file systems for training data and checkpoints.
Founding Machine Learning Infrastructure Engineer Peano AIFounding Machine Learning Infrastructure EngineerPalo Alto, CaliforniaIf you are excited to build the infrastructure and agent systems behind the next generation of AI applications, push open-source models to production-grade performance, and turn ambitious research ideas into real-world impact, Peano AI is the place for you. Our thesis is that agentic applications require a vertically integrated stack: high-throughput, cost-efficient serving infrastructure paired with an application layer designed for long-running, agentic workloads.
Software Engineer, Developer Infrastructure NumericSoftware Engineer, Developer InfrastructureSan Francisco, CaliforniaThe current reality has gaps (deploys with no staging gate, migrations without clean rollback, a prod-DB-clone lock that blocks deploys, Terraform drift, two clouds where there should be one) and a roadmap to close them. Have a product builder’s instinct for developer experience: sane defaults, tooling that teaches, “shipping means seeing it work successfully.”.
Senior Cloud Infrastructure Engineer Collective Hub IncSenior Cloud Infrastructure EngineerSan Francisco, CAWe are backed by General Catalyst, Sound Ventures, QED Investors, Google's Gradient Ventures, Expa, and other investors who have financed iconic companies like YouTube, Substack, Twitch, Box, Hims, Instacart, and Lyft. Our technology and team of trusted advisors help members achieve financial independence by taking care of everything from business incorporation to accounting, bookkeeping, tax services, and access to a thriving community, all in one integrated platform.
Engineering Lab Infrastructure and Rework Technician Marvell Technology IncEngineering Lab Infrastructure and Rework TechnicianSanta Clara, CAAbility to work independently or as a team on repetitive physical tasks without direct supervision after initial on-the-job training on tasks as outlined below: Install, configure, and maintain lab-specific hardware and software applications and tools used by research teams. Highlights include an employee stock purchase plan with a 2-year look back, family support programs to help balance work and home life, robust mental health resources to prioritize emotional well-being, and a recognition and service awards to celebrate contributions and milestones.
NewInfrastructure Engineer III JPMorgan Chase Bank, N.A.Infrastructure Engineer IIISan Francisco, CAFull timeAs an Infrastructure Engineer III at JPMorgan Chase within the Enterprise Technology - Network Services Group, you utilize strong knowledge of software, applications, and technical processes within the infrastructure engineering discipline. JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P.
Azure/Databricks Infrastructure Engineer Deloitte Touche Tohmatsu LtdAzure/Databricks Infrastructure EngineerSan Francisco, CA$116,200–$229,100 / yearOur purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
NewSenior Cloud Infrastructure Engineer, Cloud Foundations LambdaSenior Cloud Infrastructure Engineer, Cloud FoundationsSan Francisco, CaliforniaOur investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove. *Note: This position requires presence in our San Francisco/San Jose/Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
Senior Director, Strategic Finance - Compute & Storage Infrastructure ATOMSSenior Director, Strategic Finance - Compute & Storage InfrastructureSan Francisco, CaliforniaOur work only matters if it serves others, and we know that meaningful progress depends on the trust of the people we serve and the strength of our team—so we invest in both, creating an environment where you can do your best work and grow. Our systems are designed to understand, predict, and control the real world with precision, turning complex physical operations into something more reliable, more scalable, and more productive.
Corporate Development Associate - Digital Infrastructure M&A Lambda IncCorporate Development Associate - Digital Infrastructure M&ASan Francisco, CAOur investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove. We are seeking a Corporate Development Associate to play a key role in managing and executing the company's end-to-end acquisition and strategic investment activities on the real asset / digital infrastructure side of our business.
Staff+ Software Engineer, Claude App Infrastructure AnthropicStaff+ Software Engineer, Claude App InfrastructureSan Francisco, CA$320,000–$485,000 / yearThis research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. We're the platform team for Anthropic's flagship consumer product, responsible for the serving architecture that keeps Claude available at scale, the conversation experience, and the infrastructure that lets every product team at Anthropic ship into claude.ai safely and fast.
Software Engineer, Performance Tooling And Infrastructure NuroSoftware Engineer, Performance Tooling And InfrastructureMountain View, CA$152,000–$228,000 / yearOur Performance Simulation Platform is a hybrid benchmarking system: physical bench-top rigs running production robot compute (NVIDIA Thor platform), orchestrated by cloud-native infrastructure (Kubernetes, GCP), automated data pipelines feeding performance metrics into BigQuery and Grafana, pre/post simulation magic, custom tracing and profiling tools, and much much more. Performance Data Pipelines: Design and build end-to-end data pipelines that capture fine-grained performance metrics (CPU/GPU utilization, memory bandwidth, E2E latency, scheduling jitter) from bench-top runs, process them at scale, and surface actionable insights through dashboards and automated regression detection.
Corporate Development Associate - Digital Infrastructure M&A LambdaCorporate Development Associate - Digital Infrastructure M&ASan Francisco, CaliforniaOur investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove. We are seeking a Corporate Development Associate to play a key role in managing and executing the company’s end-to-end acquisition and strategic investment activities on the real asset / digital infrastructure side of our business.
Software Engineer, Infrastructure ServalSoftware Engineer, InfrastructureSan Francisco, CaliforniaThis role is for engineers with deep expertise in distributed systems, infrastructure-as-code, production operations, and customer-facing infrastructure support who want to shape the technical architecture of a fast-growing platform. Founded in early 2024, Serval is already trusted by companies like Fox, Notion, Perplexity, Vercel, and Brex to automate high-volume, high-friction operational work across their organizations.
Machine Learning Infrastructure Engineer Character AIMachine Learning Infrastructure EngineerRedwood City, CAIn just two years, we achieved unicorn status and were honored as Google Play's AI App of the Year-a testament to our innovative technology and visionary approach. Our platform lets users engage with tens of millions of characters, enjoy unlimited conversations, and embark on infinite adventures.
Staff Software Engineer - Infrastructure Storage LambdaStaff Software Engineer - Infrastructure StorageSan Francisco, CaliforniaOur investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove. Technical Leadership: Set technical direction for storage software architecture across petabyte-scale deployments, authoring and reviewing design docs, mentoring senior engineers, and serving as the technical anchor for cross-functional initiatives spanning storage, networking, compute, and control plane teams.
Senior Software Engineer, Performance Tooling And Infrastructure NuroSenior Software Engineer, Performance Tooling And InfrastructureMountain View, CA$183,000–$275,000 / yearOur Performance Simulation Platform is a hybrid benchmarking system: physical bench-top rigs running production robot compute (NVIDIA Thor platform), orchestrated by cloud-native infrastructure (Kubernetes, GCP), automated data pipelines feeding performance metrics into BigQuery and Grafana, pre/post simulation magic, custom tracing and profiling tools, and much much more. Performance Data Pipelines: Design and build end-to-end data pipelines that capture fine-grained performance metrics (CPU/GPU utilization, memory bandwidth, E2E latency, scheduling jitter) from bench-top runs, process them at scale, and surface actionable insights through dashboards and automated regression detection.
Software Engineer, Infrastructure Anyscale IncSoftware Engineer, InfrastructureSan Francisco, CAWe are seeking a talented Software Engineer with a strong background in control plane and data plane development, along with expertise in Kubernetes, container orchestration, and cloud-native infrastructure. With Anyscale, we're building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.