About the Role
\nAnthropic's Accelerator Capacity Engineering (ACE) team manages one of the largest and fastest-growing accelerator fleets in the industry. As an engineer on ACE, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on.
\nWhat This Team Owns
\nThe team’s work spans three functional areas: data infrastructure, fleet observability, and compute efficiency. Depending on your background and interests, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap:
\nData Infrastructure
\nCollecting, normalizing, and serving the fleet-wide data that powers everything else. This means building pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalizing billing and usage data across cloud providers, and maintaining the BigQuery layer that the rest of the org queries against.
\nFleet Observability
\nMaking the state of the accelerator fleet legible and actionable in real time. This means building cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and driving systemic improvements to scheduling and fragmentation.
\nCompute Efficiency
\nMeasuring and improving how effectively every major workload uses the hardware it’s running on. This means instrumenting utilization metrics across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and collaborating directly with system-owning teams to close efficiency gaps.
\nWhat You’ll Do
\nYou May Be a Good Fit If You Have
\nStrong Candidates May Also Have
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\nOur team charts the paved path that all platform, infra, and product engineers rely upon to effectively monitor, investigate, and debug system health across Airbnb's wide-ranging tech stack. We partner closely with the rest of Reliability Engineering and Infrastructure while serving all engineers as customers.
\nAs a Senior Backend (or Fullstack) Engineer, you will be partnering with Reliability, Platform, and Infrastructures teams and utilize your extensive knowledge of web technologies to lead and execute on building the paved path for Airbnb's current and future internal needs. Your primary objective will be to make it easier to understand what's happening in production and quickly triage bugs and outages.
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\nIn this role, you will lead the architecture and development of performance profiling and instrumentation infrastructure, covering CPU, GPU, memory, request hot paths, utilization, and deployment events, making these capabilities available to all backend teams.
\nYou will partner with infrastructure teams across compute, reliability, backend frameworks, and AI Infra to ensure the fleet operates at optimal utilization.
\nYou will connect performance outcomes to business objectives and company-wide SLOs, and guide engineering teams in keeping the stack scalable and efficient.
\nYou will evaluate emerging hardware and software technologies, engage with the external solutions ecosystem, and advise on build vs. buy decisions in areas of strategic importance.
\nAs a mentor and technical leader, you will uplevel engineers across the organization through design reviews, architectural guidance, and performance best practices.
\nTo be successful in this role, you will need to have 12+ years of performance engineering experience in high-scale, high-growth production environments.
\nYou will need to have a deep understanding of how software and hardware systems interact at scale, including architectural patterns for performance-critical stacks.
\nYou will need to have strong familiarity with public cloud infrastructure (AWS, GCP, or Azure) and container orchestration (Docker, Kubernetes).
\nYou will need to have experience with profiling and instrumentation tooling across CPU, GPU, memory, and distributed request tracing.
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\nWe're a team of scientists, engineers, and machine learning experts working together to advance the state of the art in artificial intelligence. Our mission is to close the 'Agentic Launch Gap'; the critical window where novel AI capabilities outpace traditional security reviews.
\nAs the Security Lead for the Agentic Red Team, you will direct a specialized unit of AI Researchers and Offensive Security Engineers focused on adversarial AI and agentic exploitation. Operating as a technical player-coach, you will architect complex, multi-turn attack scenarios while managing cross-functional partnerships with Product Area leads and Google security to influence launch criteria.
\nKey Responsibilities:
\nAbout You:
\nIn addition, the following would be an advantage:
\nThe US base salary range for this full-time position is between $248,000 - $349,000 + bonus + equity + benefits.
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\nThe Document Intelligence Platform is BlackRock's solution for document processing, content management, and data distribution within alternative investments—serving portfolio managers, fund analysts, and investment professionals across the firm.
\nAs a Vice President, you will be a senior technical leader responsible for architecture, delivery, and operational excellence across the full stack. You will lead a team of software engineers, drive technical strategy, collaborate with senior stakeholders, and ensure our platform scales to meet evolving business needs.
\nKey Responsibilities
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\nDefine and evolve the technical architecture across frontend and backend systems
\nLead strategic direction of the document processing engine, content management services, and data distribution layer
\nChampion engineering best practices: code quality, testing, security, and observability
\nEvaluate new technologies and provide guidance on complex system design decisions
\nDrive technical innovation while maintaining production stability
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\nBuild, lead, and mentor a high-performing team of 3-8 software engineers
\nSet team goals, conduct performance reviews, and drive career development
\nFoster a culture of technical excellence and continuous improvement
\nRecruit top engineering talent and develop team competencies
\nChampion agile practices and efficient delivery processes
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\nEnsure timely, high-quality delivery of platform features
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\nBalance technical debt management with feature development
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\nPartner with Product Management to define technical roadmaps
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\nArticulate technical concepts and trade-offs to non-technical audiences
\nManage expectations and negotiate scope, timelines, and resources
\nTechnical Expertise
\nBackend Technologies (Expert Level)
\nC# / .NET (.NET 6/7/8, ASP.NET Core)
\nSQL Server – database design, optimization, stored procedures, indexing strategies
\nEntity Framework Core – ORM patterns and performance optimization
\nRESTful API design and implementation
\nMicroservices architecture – service decomposition, inter-service communication
\nMessage queues and event-driven architecture (Azure Service Bus, Kafka)
\nCaching strategies (Redis, in-memory caching)
\nFrontend Technologies (Strong Proficiency)
\nReact and TypeScript – modern frontend development
\nRedux and state management patterns
\nSingle-spa or micro-frontend architectures
\nSCSS/CSS – responsive design and component styling
\nCloud & DevOps
\nMicrosoft Azure services (extensive experience), including:
\nAzure App Service, Azure Functions, Blob Storage
\nAzure SQL Database, Cosmos DB, Redis Cache
\nApplication Insights, Key Vault, Azure DevOps
\nInfrastructure as Code (Terraform, ARM templates, Bicep)
\nCI/CD pipeline design and implementation
\nGit workflows and branching strategies for large teams
\nMonitoring and observability (Application Insights, Grafana)
\nPerformance engineering and scalability optimization
\nArchitecture & Design
\nMicroservices architecture – service patterns, API gateways, service mesh
\nClean / Hexagonal Architecture principles
\nDomain-Driven Design (DDD) concepts
\nAPI design (OpenAPI/Swagger, versioning strategies)
\nAuthentication and authorization (OAuth 2.0, JWT, OIDC)
\nSecurity architecture and threat modeling
\nData architecture and data modeling
\nHigh availability and disaster recovery design
\nExperience & Background
\n8-12+ years of professional software engineering experience
\n5+ years in technical leadership roles
\n3+ years experience leading teams of 3+ engineers
\nProven track record delivering large-scale, mission-critical systems
\nDeep expertise in full-stack development
\nStrong background in financial services technology preferred
\nExperience with cloud-native architectures on Azure
\nOur benefits
\nTo help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
\nOur hybrid work model
\nBlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
\nAbout BlackRock
\nAt BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.
\nThis mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.
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\nAt Valvoline Global Operations, we're proud to be The Original Motor Oil, but we've never rested on being first. Founded in 1866, we introduced the world's first branded motor oil, staking our claim as a pioneer in the automotive and industrial solutions industry. Today, as an affiliate of Aramco, one of the world's largest integrated energy and chemicals companies, we are driven by innovation and committed to creating sustainable solutions for a better future.
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\nOur corporate values—Care, Integrity, Passion, Unity, and Excellence—are at the heart of everything we do. These values define how we operate, how we treat one another, and how we engage with our partners, customers, and the communities we serve. At Valvoline Global, we are united in our commitment to:
\nJob Purpose
\nThe IT Senior Manager – Change Management & QA is responsible for leading the enterprise-wide strategy and execution of IT quality assurance, testing, performance validation, release governance, and change enablement. This role ensures all IT solutions—across ERP, digital platforms, integrations, and custom applications—meet enterprise standards for quality, scalability, stability, and business readiness. Operating as a global leader within a matrixed environment, this position establishes standardized QA and change frameworks while developing high-performing global teams. The role plays a critical leadership position in the SAP S/4HANA transformation and ensures predictable, low-risk delivery across the global IT portfolio through disciplined change and quality practices.
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\nSAP S/4HANA & Enterprise Program Leadership
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\nPioneering the next generation of AI requires breakthrough innovations in GPU performance and systems engineering. As a GPU Performance Engineer, you'll architect and implement the foundational systems that power Claude and push the frontiers of what's possible with large language models. You'll be responsible for maximizing GPU utilization and performance at unprecedented scale, developing cutting-edge optimizations that directly enable new model capabilities and dramatically improve inference efficiency.
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\nLocation
\nSan Francisco
\nEmployment Type
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\nDepartment
\nApplied AI
\nCompensation
\nThe base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.
\nMore details about our benefits are available to candidates during the hiring process.
\nThis role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.
\nAbout the Team
\nIdentity is the foundation of trust in an AI-powered world. As people build a rich personal and organisational context in ChatGPT, they need systems that protect it, remember it, and let them share it securely across apps and agents. Without strong identity, context stays locked away or exposed. With it, AI becomes safe, personal, and truly useful, empowering users while keeping control firmly in their hands. Our team builds the trusted OpenAI account layer that connects people, enterprises, developers, and agents to OpenAI apps and the broader AI ecosystem. Our systems are the front door to OpenAI—held to an exceptionally high bar for availability, security, and latency—and are depended on by many internal teams.
\nAbout the Role
\nAs an Engineering Manager, Identity Infrastructure, you will lead a team owning foundational identity services that must be highly reliable, secure, and fast under extreme load. You’ll set direction, grow and support the team, and partner closely across engineering and security to strengthen the platform that enables trusted access to OpenAI products.
\nWe’re looking for people who combine strong infrastructure depth with people leadership—someone who can guide technical strategy, run reliable operations, and build a high-performing team delivering mission-critical systems.
\nThis 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.
\nWhat You’ll Do:
\nYou might thrive in this role if you:
\nAbout OpenAI
\nOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of artificial general intelligence and work to align its development with human values. Our mission is to create a world where AI is a powerful tool for humanity, and we believe that this requires a multidisciplinary approach to research and development. We are committed to transparency and open communication, and we believe that sharing our knowledge and insights with the world is essential to advancing the field of AI. We are a team of researchers, engineers, and designers who are passionate about creating a future where AI is a force for good. We are based in San Francisco, California, and we are proud to be a part of the vibrant tech community in the Bay Area. We are committed to diversity, equity, and inclusion, and we believe that a diverse and inclusive team is essential to creating a better future for all. We are always looking for talented individuals who share our vision and values, and we encourage you to join our team and help us shape the future of AI.
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\nLocation
\nSan Francisco
\nEmployment Type
\nFull time
\nDepartment
\nConsumer Products
\nCompensation
\nThe base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.
\nBenefits
\nAbout the Team
\nConsumer Products Research prototypes the future of computing: we explore new modalities, interaction patterns, and system behaviors, then do the engineering required to make those ideas real in rigorous prototypes. The Neosensing team sits at the intersection of sensing, edge algorithms, and systems engineering. We build the end-to-end software that turns new signals into dependable capabilities—collection tooling and protocols, algorithm integration and evaluation hooks, and on-device loops that stay stable under real-world variability. We care deeply about software quality and iteration speed: clean interfaces, debuggability, observability, and performance under tight device constraints.
\nAbout the Role
\nAs a Software Engineer on Consumer Products Research, you’ll sit at the boundary between algorithm development and shippable systems. You’ll work closely with algorithm engineers to translate prototypes into clean interfaces, reliable pipelines, and efficient on-device implementations—with strong attention to performance, observability, and real-world failure modes.
\nThis is a software role first: we’re looking for someone who loves writing great code every day, takes pride in engineering craft, and is comfortable going deep enough into the algorithmic details to make the system work end-to-end.
\nThis role is based in San Francisco, CA. We use a hybrid work model of four days in the office per week and offer relocation assistance to new employees.
\nIn this role, you will:
\nYou might thrive in this role if you:
\nBonus:
\nAbout OpenAI
\nOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences of our users and the broader community.
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\nLocation
\nSan Francisco
\nEmployment Type
\nIntern
\nLocation Type
\nOn-site
\nDepartment
\nApplied AI
\nDeadline to Apply
\nMarch 11, 2026 at 3:00 AM EDT
\nCompensation
\nAbout the Team
\nThe Applied team works across research, engineering, product, and design to bring OpenAI’s technology to the world. We seek to learn from deployment and broadly distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. We aim to make our innovative tools globally accessible, transcending geographic, economic, or platform barriers. Our commitment is to facilitate the use of AI to enhance lives, fostered by rigorous insights into how people use our products.
\nAbout the Role
\nA systems research internship is for people who love the real-world intersection of systems-engineering and research: you’ll investigate a hard systems problem, build something meaningful, and measure it carefully. The goal is practical impact—making Applied Systems better: more efficient, more scalable, and more reliable.
\nOpenAI is currently recruiting for candidates interested in a 13-week, paid, in-person internship based in our San Francisco office during Summer 2026. In some cases, it may be extended for an additional 13 weeks (for a total of up to 26 weeks), based on team needs, candidate interest, and performance.
\nIn this role, you will typically focus on improving real systems in areas like:
\nMost projects involve some of these steps:
\nYour background looks something like:
\nAbout OpenAI
\nOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
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\nExperienced Professional
\nJune 24, 2025
\nMain tasks
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