Staff Sre For Cloud Network Infrastructure Team Jobs

About the Role The Enterprise Trust & Governance team builds the control plane that lets the world’s largest organizations deploy Perplexity broadly and with confidence. Computer and our agents work across a growing share of our customers’ environments, tools, and models. For administrators, that makes precise, enforceable control essential: who can do what, with which data, through which agents, and within what usage limits. This team makes those controls easy to manage, reliable and consistent across every product, and transparent to the people accountable for them. This is a product and platform engineering role with end-to-end ownership, from shaping the architecture and policy models to shipping the experiences our customers’ administrators and security teams use every day. You’ll work across product and infrastructure teams to turn complex enterprise requirements into reusable primitives and intuitive controls. The scope spans identity and provisioning, fine-grained role-based access across connectors, tool actions, and models, customer-managed encryption keys, admin APIs, audit logs, and policy and usage controls. Strong governance helps enterprises move from pilots to company-wide rollouts and gives them the confidence to entrust agents with greater responsibility over time. Key Responsibilities Own enterprise identity and provisioning, including SSO (SAML/OIDC), SCIM, WorkOS integrations, and support for identity providers such as Okta and Microsoft Entra ID. Build the permissions platform, with fine-grained roles and permissions for connectors, tool actions, models, and model effort levels, enforced consistently across products and agent workflows. Design and ship secure, well-documented admin APIs for audit logs, members, groups, roles, and settings. Build policy controls for model and feature availability, staged rollouts, model deprecations, usage and spend limits, alerts, and cost-center allocation. Build admin-facing analytics for adoption, usage,

In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and a growing share of them meet us first on their phone. The Growth team owns the product loops that help people discover, adopt, and build lasting habits around our most important AI experiences — and on mobile that means owning everything from the App Store listing to the first task a user finishes to the moment they upgrade. As an Android growth engineer at Perplexity, you'll work across the full mobile funnel — install, activation, onboarding, push and lifecycle messaging, conversion, retention, and in-app purchase moments — for Perplexity, Comet, and Computer on Android. Engineers are responsible for end-to-end projects: rebuilding onboarding as a series of experiments, wiring in-app purchase and paywall surfaces to our billing systems, shipping notification experiences people actually keep enabled, and turning ASO and deep-link work into measurable adoption. Growth at Perplexity goes beyond incremental funnel optimization. The team sits close to the core product — we translate behavioral signals, model outputs, and fast experimentation into durable product surfaces used across consumer and enterprise workflows. You'll move fast, run many experiments in parallel, and own the outcome end-to-end, while respecting the constraints mobile brings: release cycles, store review, and version fragmentation. Why Perplexity is different Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. Ownership. You identify the problem, design the solution and ship it. Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. Partnership. We amplify each others' strengths, break down silos, and give self

In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and a growing share of them meet us first on their phone. The Growth team owns the product loops that help people discover, adopt, and build lasting habits around our most important AI experiences — and on mobile that means owning everything from the App Store listing to the first task a user finishes to the moment they upgrade. As a mobile growth engineer at Perplexity, you'll work across the full mobile funnel — install, activation, onboarding, push and lifecycle messaging, conversion, retention, and in-app purchase moments — for Perplexity, Comet, and Computer on iOS. Engineers are responsible for end-to-end projects: rebuilding onboarding as a series of experiments, wiring in-app purchase and paywall surfaces to our billing systems, shipping notification experiences people actually keep enabled, and turning ASO and deep-link work into measurable adoption. Growth at Perplexity goes beyond incremental funnel optimization. The team sits close to the core product — we translate behavioral signals, model outputs, and fast experimentation into durable product surfaces used across consumer and enterprise workflows. You'll move fast, run many experiments in parallel, and own the outcome end-to-end, while respecting the constraints mobile brings: release cycles, store review, and version fragmentation. Why Perplexity is different Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. Ownership. You identify the problem, design the solution, and ship it. Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. Partnership. We amplify each others' strengths, break down silos, and give selflessl

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As a core member of the FlashBlade product team—one of Pure Storage’s fastest-growing business units—you will help build and evolve our scale-out, all-flash file and object storage platform built for high-performance AI, modern backup, and real-time analytics. You will tackle complex distributed systems challenges at the intersection of algorithms, operating systems, and high-concurrency architectures to deliver six-nines reliability. Collaborating closely with Product Management, Validation, Support, and customers, you will directly shape how modern enterprises process and manage data at massive scale. WHAT YOU'LL DO Architect & Deliver Core Storage Systems: Drive end-to-end design, implementation, and delivery of high-performance distributed systems algorithms, taking innovations from early concept to production-grade shipped features. Solve High-Impact System Complexities: Analyze and resolve complex architectural, kernel, and concurrency bottlenecks across storage platforms, ensuring continuous enterprise-grade uptime and operational resilience. Collaborate Across Engineering Teams: Partner with cross-functional stakeholders—including Product Management, System Validation, and Customer Support—to align technical design proposals with evolving business and customer requirements. Elevate System Quality & Reliability: Own the overall software quality, performance, and maintainability of enterprise-scale d

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. Growth paths: Joining ElevenLabs means joining a

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As a DevOps Engineer, you will specialize in managing, automating, and optimizing our hybrid cloud infrastructure—spanning VMware, OpenStack, multi-cloud platforms, and enterprise Kubernetes. In this role, you will be instrumental in ensuring the high availability, scalability, and performance of critical services. Partnering closely with cross-functional teams, you will architect infrastructure automation solutions that streamline engineering operations, empower developers through self-service lifecycle management, and support business growth. WHAT YOU’LL DO Architect & Scale Infrastructure: Design, deploy, and maintain scalable multi-cloud and on-premises environments across VMware, OpenStack, and bare-metal Kubernetes clusters to meet organization-wide standards. Automate CI/CD & Workload Lifecycles: Develop infrastructure-as-code and automated CI/CD pipelines to streamline day-to-day operations and enable self-service VM and container lifecycle management for engineering teams. Drive Observability & System Reliability: Establish enterprise observability standards—leveraging monitoring, logging, and metrics frameworks—to maintain high uptime and rapidly diagnose complex infrastructure issues. Collaborate & Modernize Operations: Partner with internal business units to translate technical requirements into robust architectures, share DevOps best practices, and continuously optimize platform effici

NVIDIA’s Test Design Engineering (TDE) group designs, develops, validates, and deploys production test solutions for our networking portfolio, including network interface cards (NICs), SmartNICs and DPUs, NVLink systems, and Ethernet switches. Our teams in Israel and Vietnam support testing at contract manufacturer (CM) production sites worldwide. In this Santa Clara-based role, you will connect TDE with NVIDIA’s engineering and operations teams. You will help shape test strategies, coordinate technical decisions, and bring shared software and test capabilities into networking production testing. Your experience with production testing and systems such as servers, PC reference validation platforms (RVPs), and other multi-component hardware will help teams develop test solutions that meet both engineering requirements and manufacturing needs. What you’ll be doing: Partner with Santa Clara test engineering teams to develop production tests for platforms that combine networking ASICs, microcontrollers (MCUs), and other components. Guide test architecture, coverage, and failure diagnosis for complex hardware platforms, drawing on your experience developing and deploying production tests. Work with security teams to incorporate security requirements into test methods and workflows. Coordinate technical decisions, priorities, and dependencies across teams so TDE’s roadmap stays aligned with GPU engineering and platform development. Collaborate with CPU and GPU test diagnostics teams to reuse software, components, and test flows, with a focus on shared capabilities across L10 and L11 system test levels. Participate in new platform projects from the planning stage, bringing TDE’s requirements and expertise i

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Position Overview Micron Singapore is seeking a highly skilled and motivated Chemical Senior Engineer / Staff Engineer – Construction to join our dynamic team. The successful candidate will be responsible for the design, specification, installation, commissioning, and optimization of high-purity chemical and gas delivery systems in semiconductor manufacturing facilities. This role ensures safe handling, efficient distribution, and compliance with all relevant codes and safety regulations, while collaborating with cross-functional teams to deliver projects on time and within budget. Key Responsibilities Design & Engineering Design chemical and slurry delivery systems, including storage, distribution piping, process integration, and effluent scrubber units, ensuring stringent purity and safety requirements for semiconductor fabrication. Develop detailed engineering drawings, P&IDs, and specifications for all chemical and slurry systems. Perform flow, pressure, and compatibility calculations to optimize system efficiency. Specify critical components and ensure designs meet all applicable codes and regulations (NFPA, FM, UBC, UFC, UMC, IBC, IMC, IFC, NEC, SEMI, OSHA, NEA etc). Conduct research and development on emerg

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . Pinterest is where hundreds of millions of people around the world discover ideas and turn inspiration into action. Our mission is to bring everyone the inspiration to create a life they love, and our values guide how we build, operate, and lead: Put Pinners First, Aim for Extraordinary, Create Belonging, Act as One, and Win or Learn. Ads brings together Product and Engineering to build the products and systems that power Pinterest’s advertising platform across advertiser and Pinner experiences, enabling sustainable growth while protecting the quality and integrity of the product experience. This organization sits at the intersection of business strategy, scaled engineering systems, and product innovation, making it one of Pinterest’s most business-critical teams. About the Role We are hiring a Chief of Staff to the GM, Ads (Product, Engi

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g., Seaborn , Luigi ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. Specifically, you'll be working on the distributed object storage system that underpins every container image, volume, and checkpoint on Modal: hundreds of petabytes of data, replicated across multiple cloud object stores and a CDN, cached on local NVMe across a large fleet of workers in many datacenters, and shared peer-to-peer within each datacenter. You'll make cold starts feel local when the data is hundreds of milliseconds away, designing the caching, preloading, and peer-to-peer layers that hide object-store latency and keep public ingress off saturated uplinks. You'll own durability and cost at petabyte scale, from streaming and batch replication between origins, to garbage collection over billions of objects. You'

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is working to build a rigorous, evidence-based understanding of AI's economic effects. We're hiring a writer focused on economics and policy to work on a growing portfolio that includes economic research reports, long-form essays, op-eds, and policy briefs. You'll spend much of your time working with economists and researchers, helping them explain their findings plainly. You’ll write for economists, policymakers, journalists, and the public. You’ll be on the Editorial team, which is responsible for shaping how Anthropic communicates. Our goal is to build understanding about the opportunities and challenges of transformative AI, and we work extensively with partner teams including The Anthropic Institute and our Policy team. In this role, you'll write about AI's effects on productivity and the labor market, the economics of compute, innovation policy, and regulation, among many other subjects, and you'll help decide which economic and policy questions Anthropic takes up next. You'll do this with an amazing vantage point on what is happening at the frontier. Key responsibilities Work with our economists and researchers to write and edit Anthropic's economic research publications—including the Anthropic Economic Index, and new reports on how AI is affecting work, productivity, and growth. Produce rigorous, readable work on the economics and policy of AI in whatever format the subject calls for, including research reports, long-form essays, op-eds, policy briefs, and blog posts. Collaborate with Anthropic's economics researchers, Policy team, research scientists, and external economists and policy experts to tran

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview As a Member of Technical Staff in Post-Training Data Infrastructure, you will build and own the pipelines that produce the post-training data for our large language models (LLMs), from SFT and RL data to synthetic and human-annotated data. You will work closely with researchers and annotation teams so they can iterate on data as quickly as they iterate on models. Key Responsibilities Build and maintain data pipelines for SFT, preference, and RL post-training data. Own dataset quality, versioning, and reproducibility. Turn research data recipes into production-grade, reusable components. Scale model inference for data generation and model-based grading. Design data formats and schemas that keep post-training datasets consistent and efficient to train on. Collaborate with researchers and engineers to make sure data pipelines keep pace with the needs of cutting-edge language models. Qualifications Strong software engineering skills. Experience designing and building large-scale data pipelines for machine learning, ideally for LLM post-training. Track record of running distributed data processing and model inference at

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Key Overview: As a Member of Technical Staff in Post-Training, you will train our large language models (LLMs) with reinforcement learning and develop methods that help them generalize beyond the distribution they were trained on. You will design the training recipes, environments, and evaluations that tell us whether a model has truly learned a skill or has only fitted its training tasks, and turn what works into the recipes behind our production models. You will work closely with the post-training data infrastructure, evaluation, and pre-training teams. Key Responsibilities Design, run, and analyse large-scale RL post-training experiments (e.g., RLHF, RL from verifiable rewards). Research and develop methods that improve out-of-distribution generalization, such as reward design, environment and task diversity, curricula, and regularization. Build held-out evaluations that measure generalization to unseen tasks, domains, and formats, and that catch reward hacking and benchmark overfitting. Diagnose training dynamics and failure modes, including instability, reward over-optimization, and capability regressions. Turn successful r

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The memory solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. The Smart Manufacturing and AI team at Micron Technology is looking for an ambitious engineer (Member of Technical Staff | MTS) to deliver industry-winning Agentic AI solutions that power Micron’s dominance in the highly competitive memory solutions market. This role sits at the intersection of applied Agentic AI engineering and production systems work: you will architect autonomous AI Agents and the agentic and data pipelines that power them, build robust CI/CD deployment paths to Kubernetes and containers, and push the limits of agent performance profiling and evaluation to turn massive data and compute into measurable manufacturing impact. Qualified applicants will have experience across data/cloud technologies and systems engineering, with extensive practice modeling data, querying, and deploying scalable pipelines to execute AI agents. You will collaborate with Data Scientists, Data Engineers and expert users to build and deploy scalable Agentic AI solutions that drive value and insight from Micron’s manufacturing processes and systems. If you enjoy solving hard problems at scale, thrive on turning speculative research in

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! About the role We're hiring a Chief of Staff to keep Cohere's AI organization running at full speed. You'll report to and support the Chief AI Officer and work to bridge across all teams and functions at Cohere (including research, modelling, product, delivery, security, sales and operations). In any given quarter, the org ships new AI product demos and releases, customer pilots and scaled solutions, security updates, often across regions and time zones. Your job is to make sure the right work priorities win when everything feels urgent, that our plans turn into high-quality shipped work, and that our Chief AI Officer can focus on leading instead of firefighting. Much of this is operational: the planning calendar, the budget, the headcount plan, the weekly business reviews, the communication strategy (internal and external), the cross-functional handoffs. Your role is the operating rhythm of the org: meetings, priorities, plans, and the decisions that come out of them. You will be a member of an experienced, high-performing and supportive leadership team. What you'll own Own the operating rhythm and planning: annual and quarterl