Senior Infrastructure Engineer - AI Open SelectSenior Infrastructure Engineer - AISan Francisco, CaliforniaYou’ll tackle challenges at the intersection of cloud infrastructure, telephony, and machine learning - building systems that handle high-throughput, low-latency workloads and integrating with enterprise-grade voice and video systems. As a Senior Infrastructure Engineer, you’ll architect and scale distributed systems that power millions of real-time, AI-driven phone conversations for major brands and enterprises.
Founding Software Engineer - Backend and Infrastructure unsiloed.aiFounding Software Engineer - Backend and InfrastructureSan Francisco, CaliforniaWhat you Will Do As a Founding Software Engineer, you will own the entire technical stack end-to-end, from core infrastructure and production systems to deployment, reliability, and developer experience. Architect, build, and scale core backend systems powering document intelligence and VLM-based workflows.
Backend / Infrastructure Engineer Elite Talent ConsultingBackend / Infrastructure EngineerSan Francisco, CaliforniaIn this role, you will design and develop scalable infrastructure that powers our core product, enabling radiologists to work more efficiently and double their productivity. About the Role: We are hiring mid-level and senior backend engineers to help build an AI-powered platform that is revolutionizing workflows in radiology.
Cloud Infrastructure Engineer Alchemy Insights, IncCloud Infrastructure EngineerSan Francisco, CADesign and manage multi-cloud, multi-region network architecture- VPC design, IPAM, DNS (Cloudflare), cross-cloud connectivity, security groups, and edge-proxy/istio gateway configuration. The Infrastructure team provides the infrastructure, tooling, and expertise needed to allow Alchemy engineers to ship, scale, and operate high-quality products in a fast, safe, and cost-efficient manner.
Member of Technical Staff - AI Cloud Infrastructure Emerald AIMember of Technical Staff - AI Cloud InfrastructureOakland, CaliforniaThey have built or served as a core early engineer on a managed cloud or AI platform, whether at a GPU cloud, an internal machine learning platform run at scale, a hyperscaler AI service, or a HPC research computing center operated as a service. Production experience deploying or operating Lustre or a comparable parallel filesystem such as GPFS, Weka, VAST, or BeeGFS, with a solid understanding of parallel filesystem architecture, tuning, and failure modes.
Software Engineer - Training Infrastructure BaseTenSoftware Engineer - Training InfrastructureSan Francisco, CAFamiliarity or experience with the open source training stack and frameworks (NCCL, PyTorch, Megatron, NemoRL, VeRL, Axolotl, HF Trainer) and distributed training techniques (FSDP, DeepSpeed). By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production.
Principal Software Engineer, Onboard Infrastructure NuroPrincipal Software Engineer, Onboard InfrastructureMountain View, CA$258,000–$387,000 / yearYou will architect hardware-agnostic device interfaces, inter-device communication pipelines, runtime APIs, and onboard software platforms that enable Nuro's autonomy stack to run safely and efficiently across current and future vehicle platforms. You will partner with autonomy, hardware, safety, validation, operations, and supplier-facing teams to integrate next-generation sensors and compute platforms, resolve reliability and performance issues, and shape the long-term technical direction of Nuro's onboard infrastructure.
Staff Machine Learning Infrastructure Engineer ATOMSStaff Machine Learning Infrastructure EngineerSan Francisco, CaliforniaYou will own the challenge of scaling distributed GPU workloads to support a high volume of concurrent training runs across an expanding vehicle fleet, building a platform that can flexibly run on whatever GPU capacity is available, regardless of provider or environment, directly accelerating innovation across the platform. Distributed Computing & Orchestration: Leverage distributed compute frameworks to efficiently manage and execute a high volume of complex ML training jobs concurrently across large GPU clusters.
Staff Software Engineer, Environments Infrastructure AnthropicStaff Software Engineer, Environments 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. Strong taste in API and framework design, the ability to explain why an interface is right or wrong rather than just recognizing it, and a track record of other engineers or teams adopting and building on frameworks you have built.
Director, Compute Infrastructure Procurement Operations AnthropicDirector, Compute Infrastructure Procurement OperationsSan Francisco, CAYou will simultaneously operationalize three enterprise-scale initiatives: a multi-entity procurement structure spanning domestic and international jurisdictions, a compliance-critical Asset Lifecycle Management program and procurement operations for Anthropic data center sites across the US with international expansion underway. Anthropic is seeking a Director of Compute Infrastructure Procurement Operations to build and lead the function responsible for how Anthropic procures, tracks, and governs its compute infrastructure assets at scale.
Software Engineer, Infrastructure, Interpretability AnthropicSoftware Engineer, Infrastructure, InterpretabilitySan Francisco, CAIn this role, you'll be deeply embedded alongside Interp Researchers to understand their workflows - building your understanding of the research as you go; at the same time you'll bridge communication with Anthropic's wider platform and security teams. 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.
Director, Infrastructure Supply Chain Accounting AnthropicDirector, Infrastructure Supply Chain AccountingSan Francisco, CAAnthropic is seeking a Director, Infrastructure Supply Chain Accounting to lead accounting for the components and integrated systems flowing through Anthropic's compute stack - from chips and networking hardware through racks and data center buildouts - underpinning our $50B+ investment in American computing infrastructure. Collaborate cross-functionally to improve upstream data pipelines and component tracking - from purchase order through ship, receipt, build, and deployment - including serial-number-level tracking and existence controls for high-value components.
Senior Consultant, Built Environment And Infrastructure Control RisksSenior Consultant, Built Environment And InfrastructureSan Francisco, CA$115,000–$130,000 / yearThe ideal candidate will have 5+ years of relevant experience and bring strong knowledge and understanding of CPTED principles and other global leading initiatives, including Secured by Design and recognized public and private sector safety and security planning guidance such as UFC, ISO31000, and NIST. The role includes undertaking fee-earning consultancy across a wide range of activities, including risk assessment, the definition of security strategies and high-level planning, concept and detailed master planning, and concept and detailed technical design.
Senior Platform Engineer - Core Infrastructure LambdaSenior Platform Engineer - Core InfrastructureSan 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, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
Software Engineer, Frontier AI Infrastructure Scale AI, Inc.Software Engineer, Frontier AI InfrastructureSan Francisco, CA$184,000–$259,440 / yearThe range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. As a part of this team, you will own the model inference layer - enabling state of the art models, debugging the latest AI tools, managing networking, debugging latency, and tracking pricing/usage metrics for AI models.
NewSenior Machine Learning Engineer - ML Training Infrastructure General Motors CoSenior Machine Learning Engineer - ML Training InfrastructureSunnyvale, CA$170,000–$240,800 / yearAs a Senior ML Engineer, you will collaborate closely with machine learning engineers, research scientists, and other partners to develop state-of-the-art AI solutions that enable the future of intelligent driving technologies across General Motors vehicles. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
Infrastructure Tech Lead OmnifoldInfrastructure Tech LeadSan Francisco, CaliforniaData and ML ops: ETL pipelines from varied customer data sources, model versioning and lifecycle management. We train a unique model for each customer, which means model training and inference work differently here than at any other company.
Lead Security & Infrastructure Engineer AnodizeLead Security & Infrastructure EngineerSan Francisco, CaliforniaFleet Management & Endpoint Security: Hands-on experience administering multi-OS environments (macOS, Linux, Windows) using open source tools like FleetDM to enforce security without sacrificing engineering velocity or creating systemic risk via centralization. IaC & Automation First: Strong system design and software development skills, plus hands-on experience using Infrastructure as Code (IaC) to build and manage security and infrastructure programmatically.
Lead Infrastructure Engineer ( SDWAN)- Risk Management JPMorgan Chase Bank, N.A.Lead Infrastructure Engineer ( SDWAN)- Risk ManagementSan Francisco, CAFull timeProven ability to own and manage SD WAN delivery technology/operational risk by maintaining audit-ready controls and approvals, and proactively identifying, escalating, and mitigating resiliency/security risks in alignment with stakeholders. You will also contribute to the SD WAN risk profile by ensuring designs and changes align to security, resiliency, and operational risk controls, with audit-ready documentation and clear stakeholder communication on risks and mitigations.
Software Engineer, Data Infrastructure CartesiaSoftware Engineer, Data InfrastructureSan Francisco, CaliforniaOur team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences. Design and operate scalable, high-throughput data pipelines for text, audio, and video — covering ingestion, preprocessing, augmentation, dataset versioning, and data loading for training.