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.
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.
Senior Software Engineer, Developer Infrastructure SentrySenior Software Engineer, Developer InfrastructureSan Francisco, CA$190,000–$280,000 / yearThe Developer Infrastructure team owns the systems that make every engineer at Sentry more effective at shipping high quality software: developer environments, CI/CD for our open source and closed source codebases, the golden path for building new services, our SDK and library publishing tooling, and the metrics and dashboards that keep it all healthy. A successful candidate's actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate's work location, education, work and other relevant experience, skills, and job-related knowledge.
Infrastructure Engineer MercorInfrastructure EngineerSan Francisco, CaliforniaMercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents. You’ll work closely with engineers across product, research, and operations to design scalable architectures, streamline deployments, and improve observability.
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.
Staff Software Engineer, Model Infrastructure Harvey, Inc.Staff Software Engineer, Model InfrastructureSan Francisco, CA$236,000–$290,000 / yearIntegrate new model providers and maintain provider APIs and SDKs, enabling Harvey to rapidly adopt emerging frontier models. You'll partner closely with AI Research, Product Engineering, Infrastructure, and external model providers to build a platform that is highly reliable, scalable, observable, and efficient.
Staff+ Software Engineer, Claude App Infrastructure AnthropicStaff+ Software Engineer, Claude App InfrastructureSan Francisco, CAWe'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. This 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.
Capital Markets - Infrastructure Financing AnthropicCapital Markets - Infrastructure FinancingSan Francisco, CAIn this role, you will lead financing workstreams end-to-end, engage external financing counterparties, and partner closely with our compute, treasury, legal, finance, and accounting teams to bring transactions from structuring through close. This 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.
Staff+ Software Engineer, Safeguards ML Infrastructure AnthropicStaff+ Software Engineer, Safeguards ML InfrastructureSan Francisco, CAThis 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. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.
Director, Infrastructure & Energy Accounting AnthropicDirector, Infrastructure & Energy AccountingSan Francisco, CAYou will serve as the technical accounting subject matter expert for arrangements spanning data center leases (ASC 842), power purchase agreements and energy contracts (including those containing embedded derivatives under ASC 815), and counterparty or joint-venture structures (ASC 810 VIE analysis). Anthropic is seeking a Director, Infrastructure & Energy Accounting to lead technical accounting for our most complex infrastructure and energy arrangements - the data center leases, power purchase agreements, and related structures underpinning our recently announced $50bn investment in American computing infrastructure.
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.
Partner Sales Director - AI Alliances - Infrastructure Partners Dynatrace IncPartner Sales Director - AI Alliances - Infrastructure PartnersSan Francisco, CA$192,000–$240,000 / yearThe successful candidate will own the strategy, onboard partnerships and execute co-sell motions with enterprise field teams and enable Sell To, With and Through motions, and work with product and field to define the integration and solution roadmap that makes Dynatrace observability native to every GPU and AI inference workload. This role operates within the AI Native Ecosystem Alliance charter and will collaborate across AI native field sales, Product and Marketing to ensure AI partnerships generate partner-influenced pipeline and revenue, enterprise customer wins and new logos.
Senior Software Engineer, Trading Infrastructure Matonee IncSenior Software Engineer, Trading InfrastructurePalo Alto, CA$150,000–$250,000 / yearThe range displayed on each job posting reflects the minimum and typical maximum target for new hire salaries for the position of a candidate based in the Bay Area at any level. Within the range, individual pay is determined by work location, job-related skills demonstrated during the interviews, working experience, and relevant education or training.
Software Engineer - ML Infrastructure Epsilon LabsSoftware Engineer - ML InfrastructureSan Francisco, CaliforniaThe actual base salary offered depends on a variety of factors, which may include as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. Build the reinforcement learning training stack (high-throughput rollout generation, reward-model serving, and experience collection), enabling the research team to run online, multi-reward RL at scale.
Member of Technical Staff - Infrastructure Gimlet LabsMember of Technical Staff - InfrastructureSan Francisco, CaliforniaYou'll work across bare metal, Linux, Kubernetes and cluster schedulers, high-speed networking, observability, and automation to ensure AI workloads can execute efficiently in production. You'll build the operational systems that abstract this complexity, allowing new silicon to become production-ready quickly while ensuring workloads remain reliable, observable, and performant from day one.
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.
NewOn-Device ML Infrastructure Engineer (ML User Experience APIs), Graphics, Games and Machine Learning Apple IncOn-Device ML Infrastructure Engineer (ML User Experience APIs), Graphics, Games and Machine LearningCupertino, CAIf you are passionate about the technical challenges of running sophisticated ML models across all devices, from resource-constrained devices to powerful clusters, and eager to directly impact how machine learning operates across the Apple ecosystem, this role presents a great opportunity to work on the next generation of intelligent experiences on Apple platforms. This involves onboarding modern architectures to embedded systems, developing optimization toolkits for model compression and acceleration, building ML compilers and runtimes for efficient execution, and creating comprehensive benchmarking and debugging toolchains.
Software Engineer - AI Infrastructure Andromeda ClusterSoftware Engineer - AI InfrastructureSan Francisco, CaliforniaPositioned at the intersection of infrastructure and product engineering, this role is deeply technical and systems-oriented, yet laser-focused on building solutions with broad leverage. We combine enterprise-grade reliability with the speed and economics of an open market, serving teams running everything from large-scale training to production inference.
NewSenior Software Engineer - Machine Learning Infrastructure ATOMSSenior Software Engineer - Machine Learning InfrastructureSan Francisco, CaliforniaBuild and maintain software and tools for classical ML stack which helps data scientists manage full training lifecycle from data collection, data preparation, training, deployment and model serving. Our 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.
AI Infrastructure Engineer / MLOps CbAI Infrastructure Engineer / MLOpsSan Francisco, CaliforniaEITACIES is looking for an experienced AI Infrastructure Engineer to support large scale AI and machine learning platforms running in cloud native environments. Support MLOps workflows including model deployment, monitoring, and operationalization.