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About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. Role summary We are seeking a Networking Operating System Firmware Engineer to help bootstrap and scale the switching layer of our AI supercomputers. In this role, you will build and maintain custom NOS images from scratch, using open source components from SONiC, SAI, FRR, and related networking stacks while working across the Linux kernel, switch ASIC SAI/SDKs, platform drivers, control-plane services, and orchestration layers. This is a software engineering role that requires a deep understanding of networking, NOS internals, switch hardware, and production systems. You will design, implement, test, and debug production NOS software across platform drivers, routing and control-plane state, ASIC programming, observability, and fleet integration. The engineer in this role should be able to work through ambiguous, open-ended technical problems and drive feature development across software, hardware, and vendor boundaries. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will Design, develop, and maintain custom NOS images for large-scale AI fabrics, using open source components from SONiC, FRR, and related networking stacks. Integrate, build and configure Linux kernel components, device drivers, switch ASIC SDKs, and SAI layers. Bring up new switch platforms, including thermal and fan control, power monitoring, transceiver management, watchdogs, OSFP CMIS, L

About the Team OpenAI’s Infrastructure organization builds and evaluates the systems that power advanced AI workloads. We work closely with hardware, modeling, and architecture teams to ensure that new platforms deliver real-world performance aligned with workload needs. Our team focuses on understanding workload behavior across evolving hardware platforms—bridging the gap between theoretical capability and observed system performance. About the Role We are seeking a Workload Porting & Performance Engineer to evaluate new hardware platforms by porting benchmarks and real-world workloads, analyzing performance, and identifying system bottlenecks. In this role, you will bring up workloads on new systems, characterize performance behavior, and adapt workloads to better utilize hardware capabilities. You will play a critical role in validating new platforms and ensuring that performance aligns with expectations across compute, memory, and networking subsystems. This role requires strong hands-on experience with performance analysis, workload optimization, and system-level debugging across hardware and software boundaries. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance. Key Responsibilities Port and enable benchmarks and real-world workloads on new hardware platforms. Evaluate system performance across compute, memory, storage, and networking subsystems. Identify and analyze performance bottlenecks and inefficiencies. Adapt and optimize workloads to better utilize hardware capabilities. Develop and run performance experiments and profiling workflows. Compare expected vs. observed performance and provide feedback to: hardware architecture teams performance modeling teams system and software engineers. Debug issues across the stack, including software, runtime, and hardware interactions. Provide actionable insights to guide platform readiness and deployment decisions. Qualifications E

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. As a Lead Migrations Forward Deployed Engineer (Migration FDE), you will lead scoping, architecture and direction as the FDE team embeds with customers to lead the modernization of their data and application ecosystem using the Snowflake AI Data Cloud. You will partner closely with clients to understand their business challenges to design, build, and implement cutting-edge data solutions on Snowflake. Your role is crucial in enabling customers to harness the full potential of their data, driving insights, and powering AI initiatives. You'll act as a trusted technical advisor, ensuring customers achieve significant business value and success with Snowflake. WHAT YOU WILL BE RESPONSIBLE FOR: Migration Project Execution : You will work with multiple FDE teams that each focus on a specific customer. You’ll set architecture and direction for the team as it works to design, build, and deploy robust software systems, tooling, and automation required to support customer solutions on Snowflake. Software Development: All Migration FDE members, leads and otherwise, contribute to our product. We build prototypes, contribute to feature development, fix problems that we find. Doing so helps drive impact on the roadmap and improves individual depth in the product itself. Client Collaborat

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. As a Senior Forward Deployed Engineer (FDE), you will be embedded with customers to lead the modernization of their data and application ecosystem using the Snowflake AI Data Cloud. You will especially focus on modernizing their Spark and Data Engineering focused workloads. You will partner closely with clients to understand their business challenges and design, build, and implement cutting-edge data solutions on Snowflake. Your role is crucial in enabling customers to harness the full potential of their data, driving insights, and powering AI initiatives. You'll act as a trusted technical advisor, ensuring customers achieve significant business value and success with Snowflake. WHAT YOU WILL BE RESPONSIBLE FOR: Software Development : Design, build, and deploy robust software systems, tooling, and automation required to support customer solutions on Snowflake. Create comprehensive documentation for developed solutions, technical configurations, and best practices. Data Engineering & Platform Implementation : Design and implement scalable data pipelines and modern data architectures on Snowflake. Ensure data quality, integrity, and efficient processing within the customer's modern data environment. Performance Optimization & Best Practices : Analyze and optimize data

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As a Sr. AI GTM Engineer on Vanta's GTM Engineering team, you will design and ship internal AI products and processes that completely transform how our go-to-market teams operate and win. You'll embed with Sales, Customer Success, and Revenue Operations to build novel applications and platforms that accelerate pipeline generation, improve win rates, and scale how Vanta engages customers. You will also own end-to-end outcomes, move quickly from concept to production, and directly shape how customers experience Vanta in the field. This role is ideal for AI-pilled builders who want to be close to users, solve complex business problems with elegant technical solutions, and define entirely new categories of enterprise software. Vanta's GTM Engineering team operates as an internal incubator: applying AI at scale to revolutionize customer engagement. We build high-impact tools that reshape conversations, learn from every customer interaction, and demonstrate the value of our platform in real-world scenarios. This team sits at the intersection of engineering and GTM, shipping solutions that range from rapid prototypes to production-grade systems. What you'll do as a Senior AI GTM Engineer at Vanta: Ideate and build products that transform how Vanta generates new business, interfaces with prospects and customers, and grows existing customer relationships Own the full product lifecycle: prototype, iterate, ship, and maintain solutions that solve real-world customer and internal workflow problems Partner closely with Vanta’s CRO and executive leadership teams to architect and execute plans that bring Vanta to the forefront of GTM orgs lev

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 . Are you passionate about building impactful products for sales and finance teams? Come join the IT Enterprise Systems team at Pinterest where you will be responsible for advancing our sales and marketing systems. What you’ll do: Design, build, and operate full‑stack applications and services on Pinterest’s enterprise infrastructure to support our Sales, Marketing, and Finance teams, from backend services and APIs through integrations and user‑facing workflows. Lead the technical design and implementation of GenAI/ML‑powered services and pipelines that automate and augment enterprise workflows (for example, summarizing sales interactions, enriching account data, or surfacing intelligent recommendations), including clear evaluation frameworks, observability, and validation guardrails. Own the end‑to‑end software development lifecycle for th

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. Vanta's Core Platform team provides the foundational infrastructure that powers all engineering at Vanta. We're expanding upmarket to support enterprise customers, which requires strategic investment in platform systems that ensure security, reliability, and developer productivity at scale. As we expand upmarket to support enterprise and regulated customers, we’re investing heavily in platform capabilities that scale securely while reducing cognitive load for product teams. As the Engineering Manager, Core Platform at Vanta, you'll own the foundational infrastructure that every engineer builds on, ensuring it scales with company growth while remaining fast, simple, and reliable. This team’s ownership spans shared services infrastructure, observability and monitoring, datastore management, and async work systems. Our Engineering Managers develop and grow high-performing teams that deliver significant value to our customers and enable our business to scale. This role sits at the intersection of technical architecture and team development, with real authority to set direction and grow a world-class platform team. Visit our Vanta Engineering Blog to learn more about what our team is working on! What you’ll do as an Engineering Manager at Vanta: Lead and grow high-performing platform engineerin

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Senior Engineering Manager, Communications, you'll lead the team responsible for in-game text chat — one of the most-used surfaces on Roblox and a cornerstone of how our community connects. Every day this system carries billions of messages across hundreds of millions of users, in real time, across 2D and 3D spaces, on every device we support. You'll own the roadmap and the engineering org behind it: building rich, immersive, and engaging communication experiences that let people and creators express themselves safely and seamlessly — better than in real life. This is a role for a leader who thinks like a product builder as much as an engineer. You'll balance the demands of massive scale and rock-solid reliability with a relentless focus on the user experience, shipping features that make conversation on Roblox feel effortless, expressive, and safe. You'll grow and develop a team of engineers, set technical direction, and partner deeply across product, design, trust & safety, and infrastructure to define what communication on Roblox becomes next. You Will Lead, grow, and develop a team of software engineers building the in-game text chat platform, setting a high bar for engineering

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. The AI Studio is the team responsible for designing, building, and operationalizing internal software platforms across every functional department of the company, including People Operations, Customer Support, Sales, Marketing, Finance, Recruiting, and Executive Operations. We treat each internal department as its own product surface, and in truth as its own startup, with its own customers, its own metrics, and its own reasons for existing. We ship custom software, built on Replit’s own platform, to solve operational problems that off-the-shelf SaaS tools cannot serve well at our scale and pace of growth. Position Summary The Member of Technical Staff (AI Builder) is a full-time builder role with substantial autonomy. You will design, architect, and ship AI-powered internal platforms that run the operations of the company across many departments at once. This is not a role for someone who wants a narrow, well-defined lane. It is a role for someone who wants to walk into an ambiguous business problem, understand it well enough to argue about it with the department lead, and then ship the software that fixes it. We are looking for people who genuinely understand the mechanics of a business: how revenue is actually made, why recruiting velocity matters, what makes support scale or break, how finance closes a month, and why each department is critical to whether the company wins or loses. You do not need to have run every function, but you need to respect why each one exists and be able to reason about it like an operator, not just an engineer. Because we treat each department as its own startup, we strongly favor people who have either run their own business or worked on a fast-scaling startup. You know what it feels like

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role: Replit is building the security GRC function that will scale with an AI-native product. As the Risk & Compliance lead, you'll own our certification and audit program end to end: SOC 2, ISO 27001, and eventually ISO 42001 (AI management systems), while also owning the company's master security risk register and continuous compliance monitoring. You'll report to the Head of Security GRC, who retains overall accountability for the risk program, and work closely with Engineering to make sure controls hold up in practice, not just on paper. What You'll Do Own the end-to-end certification roadmap (SOC 2 Type II, ISO 27001, and future frameworks like ISO 42001) including scoping, gap assessments, remediation, and audit execution Manage relationships with external auditors and drive the annual audit calendar so certifications renew without last-minute scrambles Own and maintain the company's master security risk register including risk identification, scoring methodology, treatment plans, and residual risk reporting Build and maintain continuous compliance monitoring so control status reflects real-time state rather than point-in-time snapshots Own the core audit artifacts that back every certification including ISMS documentation, Statements of Applicability, risk assessments, and potentially FedRAMP System Security Plans (SSPs) Run regular audits and readiness assessments, and track remediation of findings and control gaps to closure Support GDPR and broader privacy compliance alongside the Legal/Privacy team, without owning the legal interpretation of requirements Partner with the GRC Engineer to define what evidence collection and control monitoring should be automated versus manually reviewed Track and

About the Team The Integrity team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary, but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale. The Integrity team is at the front lines of defending against misuse in all its forms: content abuse, scaled attacks, and other actions that could undermine the user experience or harm our operational stability. About the Role As a Machine Learning Engineer in OpenAI's Integrity team, you will have the opportunity to work with some of the brightest minds in AI. You’ll work on state-of-the-art models and classifiers, experiment with new architecture and approaches, and push forward our abilities in content and user understanding. You’ll help turn research breakthroughs into tangible solutions that improve the trust and safety of our platform. If you're excited about training LLMs and building ML models, this role is your chance to make a significant mark. In this role, you will: Innovate and Deploy: Design and deploy advanced machine learning models that solve real-world problems. Bring OpenAI's research from concept to implementation, creating AI-driven applications with a direct impact. Collaborate with the Best: Work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions. Be part of a dynamic team where ideas flow freely and creativity thrives. Optimize and Scale: Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready. Contribute to projects that require cutting-edge technology and innovative approaches. Learn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning and AI. Take part in code reviews, share knowledge, and lead by example to maintain high-quality engineering practices. Make a Difference: Monitor and maintain deployed m

Since 2003, Entrata has evolved from a visionary, student-led startup into a global leader in AI-driven property management technology. Today, we power the industry's most essential operating system, serving owners and residents worldwide through a comprehensive suite of intelligent leasing, payment, and communication tools powered by cutting-edge AI. With a proven track record of sustained growth and a global team of more than 2,200 employees, we offer the rare combination of established stability and high-velocity innovation. Recognized by the Silicon Slopes Hall of Fame and the Utah Business Fast 50, Entrata fosters a culture of radical transparency and entrepreneurial energy. At Entrata, we create an environment where different perspectives are valued and respected. Those perspectives challenge assumptions, strengthen our decisions, and raise the bar as we reshape the global living experience through AI-powered solutions. The Senior Technical Support Engineer provides advanced technical assistance to customers utilizing a suite of property management solutions. This role involves troubleshooting, diagnosing, and resolving complex software-related issues while maintaining a high level of professionalism and customer service. The Senior Technical Support Engineer applies substantial knowledge and expertise to handle a wide range of tasks, contributes to process improvements, and mentors junior team members. Schedule hours: Monday-Friday from either 7:00 am-4:00 pm MDT, 8:00 am-5:00 pm MDT, 9:00-6:00 pm (Utah MT)

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. Description of the team The Dashboard Foundations team is the product platform team that stewards the Plaid Dashboard ( dashboard.plaid.com ). As both the portal for applying for production access and also the host for many products, the Dashboard is a critical touchpoint for our customers. Our mission is to build the platform of every product engineer’s dreams, with rich tooling, abstractions, and resources available to support every phase of the software development lifecycle so that developing a high quality, secure product is fast and easy. Our customers are over a dozen teams building in the Dashboard, representing products in areas such as Fraud, Credit, Signal, Account Verification, Transfer products, and more. We are a full stack team made up of former product engineers, drawing upon our experience to set our north star vision. We have in-person members in New York and San Francisco as well as some members distributed in various locations across the United States. Responsibilities You will lead a team of 8 engineers, ranging from Junior to Staff, developing them through clear goal setting, coaching, and feedback. You’ll define and drive the long-term strategy for this foundational area, in c

The Team Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, deployment machinery, and observability and alerting systems. The Fabric team manages the infrastructure that enables secure communication between systems and from the public internet. Their responsibilities encompass network architecture, service mesh, and edge load balancing, ensuring customer data remains safe in transit. The team plays a crucial role in developing and maintaining the reliable and globally connected multi-cloud network that supports MongoDB products. This role can sit in our NYC HQ, our smaller Austin, Palo Alto, or San Francisco offices, or fully remote from anywhere in North America. When based in an office, we provide hybrid work accommodation. Role Overview We are seeking a talented Site Reliability Engineer (SRE) with a strong networking background to join the Fabric team. This role is pivotal in building and maintaining the robust infrastructure necessary for secure and efficient communication between our services. As an SRE on the Fabric team, you will leverage your expertise in networking, distributed systems, and automation to ensure our systems are resilient, scalable, and reliable. The ideal candidate should Have 10+ years of experience working on software and operating distributed systems, with deep expertise in networking fundamentals and a good understanding of how the internet works, e.g. TCP/IP (including IPv6), DNS, TLS/mTLS, BGP, tunnels, overlays, and SDN principles Possess a customer-focused mindset, driving improvements that benefit end-users Value efficiency in processes and operations, and display a strong preference for automation over manual processes (“allergic to ops work”) Be intimately familiar with modern cloud-based infrastructure and the network design prim

About the role We’re looking for an engineering manager to lead a team building software systems that detect and prevent harmful misuse of frontier AI models—before incidents occur. This is a builder’s role: you’ll lead engineers shipping production services, detection pipelines, and mitigation mechanisms that protect frontier model integrity and reduce high-severity misuse risk. While this work intersects with frontier model development, security and risk, we’re explicitly seeking someone with a software engineering foundation who is comfortable building reliable systems that can operate at billions of users scale. In this role you will: Lead a team of software engineers building detection + mitigation systems for frontier model misuse, with an emphasis on model IP protection / distillation detection and emerging risk surfaces from autonomous agents. Set the technical roadmap and execution strategy: prioritize, design, ship, iterate, measure impact. Build production systems: services, pipelines, tooling, instrumentation, and automation that scale with frontier model usage. Partner deeply with Research and Product to translate evolving model capabilities into concrete tests, signals, and mitigations that can be deployed at scale. Drive strong engineering fundamentals: architecture, reliability, monitoring, performance, and operational excellence. Hire and grow an exceptional team across backend, data systems, and applied ML engineering domains as needed. Anticipate what breaks at scale as agentic workflows become more capable. You might thrive in this role if you: Experience building systems in adversarial, fast-evolving environments Are comfortable with ambiguity and novelty Have experience adjacent to security (e.g., abuse prevention, fraud, integrity, platform defense, auth/identity, malware/spam, adversarial environments) Communicate clearly and build trust quickly with senior stakeholders—pragmatic, collaborative, and calm under scrutiny. Significant experience