Staff Hardware Systems Engineer, Performance Crusoe EnergyStaff Hardware Systems Engineer, PerformanceSan Francisco, CA$215,000–$260,000 / yearWe're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved - people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. About This Role: We are seeking a Staff Hardware Systems Engineer to strengthen Crusoe's Hardware Systems Engineering team and close critical skill gaps in debugging, validation, performance evaluation and production support of high-performance compute systems.
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.
Security Engineer JuiceboxSecurity EngineerSan Francisco, CaliforniaWe are on the path to $100M in ARR with 20%+ monthly growth , powering thousands of searches every day and making Juicebox one of the fastest-growing AI SaaS companies in the world. Teams at Ramp, Notion, and leading AI labs use Juicebox to power their hiring, alongside 5,000+ customers from early-stage startups to Fortune 500 companies.
Senior Infrastructure Endpoint Engineer EverOpsSenior Infrastructure Endpoint EngineerSan Francisco, CaliforniaRemoteThis role sits at the intersection of endpoint engineering, identity, and security, with deep expertise across leading EDR platforms (CrowdStrike Falcon, SentinelOne, and Microsoft Defender for Endpoint) and modern MDM platforms (Intune, Kandji/Iru, and Fleet) to drive automation, visibility, and user experience. Beyond hands-on execution, you will own the endpoint and security tooling roadmap, evaluate platform tradeoffs, and drive technical decisions using data - not opinion - while designing automated provisioning workflows tied to Autopilot or Apple Business Manager.
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.
Senior Software Engineer, Cloud DittoSenior Software Engineer, CloudSan Francisco, CaliforniaWith more than $145 million in funding and trusted by organizations like Chick-fil-A, Delta Airlines, and the U.S. military, Ditto powers mission-critical experiences across aviation, retail, travel, hospitality, defense, and more. As a globally distributed, fast-growing startup, we’re committed to building a diverse and inclusive team that reflects the wide range of perspectives needed to solve the world’s hardest connectivity problems.
Staff+ Software Engineer, Node Infra AnthropicStaff+ Software Engineer, Node InfraSan Francisco, CAWe ingest and provision compute from all major cloud providers and from datacenters custom-built for Anthropic, stand up and scale the clusters behind one of the industry's largest AI compute fleets, and build the health, diagnostics and repair automation that keep every GPU, TPU and Trainium node in the fleet usable and ready to power Anthropic's frontier AI research. 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, Kubernetes Platform AnthropicStaff+ Software Engineer, Kubernetes PlatformSan 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. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Staff+ Infrastructure Engineer, Cluster Infrastructure AnthropicStaff+ Infrastructure Engineer, Cluster InfrastructureSan Francisco, CAExperience with cloud networking: VPC design and peering, Shared VPC/Transit Gateway, Cloud Interconnect/Direct Connect, Cloud NAT, cross-cloud private connectivity, BGP and route control, edge load balancing and DDoS mitigation (Cloud Armor / AWS Shield). 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.
Software Engineer, Distributed Systems VerseSoftware Engineer, Distributed SystemsSan Francisco, CaliforniaAs a Software Engineer focusing on Distributed Systems at Verse, you will work in collaboration with some of the brightest industry experts in the field building cloud-native applications that scale to trillions of data points collected from electricity markets globally. Backed by Bessemer Venture Partners, GV, Coatue, and NVIDIA, and built by pioneers in grid-scale batteries, energy markets, and enterprise software, we're redefining how the world's most ambitious organizations access and manage energy.
Staff + Senior Software Engineer, Inference AnthropicStaff + Senior Software Engineer, InferenceSan 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. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Staff + Senior Software Engineer, Inference Deployment AnthropicStaff + Senior Software Engineer, Inference DeploymentSan 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. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Staff+ Software Engineer, Financial Fraud AnthropicStaff+ Software Engineer, Financial FraudSan Francisco, CAThe Fraud Prevention team protects Anthropic's payment and monetization surfaces from financial abuse - keeping fraud losses, dispute rates, and network monitoring exposure in check while preserving a smooth experience for legitimate customers. Payments fraud is more externally coupled than most trust and safety work - you'll collaborate closely with finance, support, and legal teams internally, and with payment processors and platform partners externally.
Research Engineer, Interpretability AnthropicResearch Engineer, InterpretabilitySan Francisco, CAEven if you haven't worked on interpretability before, the infrastructure expertise is similar to what's needed across the lifecycle of a production language model: Pretraining: Training dictionary learning models looks a lot like model pretraining - creating stable, performant training jobs for massively parameterized models across thousands of chips. 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 Engineer, Datacenter Server Lifecycle AnthropicStaff Engineer, Datacenter Server LifecycleSan Francisco, CADefine and own the end-to-end system lifecycle strategy - from provisioning and deployment through operation, maintenance, refresh, and decommissioning - and maintain automation and operational procedures for common lifecycle events (e.g., hardware failures, firmware upgrades, fleet rotations). 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 Security Engineer AnthropicStaff+ Software Security EngineerSan 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. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Staff + Sr. Software Engineer, Cloud Inference AnthropicStaff + Sr. Software Engineer, Cloud InferenceSan Francisco, CAWork cross-functionally with internal inference, product API, systems, and security teams, among others, and with CSP partners to stand up the full serving stack on new cloud platforms, resolve operational issues, and influence provider roadmaps. 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 + Sr. Software Engineer, Cloud Inference Launch Engineering AnthropicStaff + Sr. Software Engineer, Cloud Inference Launch EngineeringSan Francisco, CAIdentify and dive deep on the gaps that make inference behave differently across first-party and CSPs - config drift, observability, deployment patterns, hard cross-platform bugs - and fix them at the source rather than building platform-specific workarounds. 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.
Senior AI Research Engineer Zero RFISenior AI Research EngineerSan Francisco, CaliforniaDesign and implement generative AI models for automated building design, including floor plan generation, facade design, and structural optimization using state-of-the-art architectures (diffusion models, transformers, GANs). This role sits at the intersection of deep learning, computational geometry, and architectural design, creating AI systems that augment human creativity while respecting engineering constraints and building codes.
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.