Technology Research 2d Transistor Engineer Intern in United States

About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe achieving this goal requires real-world deployment and continuous iteration based on how our products are used—and misused—in practice. The Child Safety team is responsible for detection, review, and enforcement of OpenAI’s Child Safety product policies. We leverage a balanced use of technology and subject matter expertise to scale our operations. We collaborate with internal legal, research, and policy teams, external experts, and other industry stakeholders to keep OpenAI aligned with evolving regulations and industry best practices around child safety. About the Role As a Child Safety Enforcement Specialist on the Intelligence & Investigations, you independently lead defined child safety investigations and projects from triage through documented outcome. You apply strong working knowledge of policy and investigative practice, surface trends in abuse signals, recommend evidence-based mitigations, and coordinate with partners to deliver reliable safety outcomes. The role includes sensitive content review and may involve supporting quality and workflow improvements. You’ll be responsible for: This role supports child safety investigations, enforcement, reporting, and process improvement. The work includes significant review of sensitive content and analysis of user behavior. This role independently owns defined projects, aligns with cross-functional priorities, and escalates complex legal or policy questions through established channels. In this role, you will: Independently review and investigate child safety content and behavior, including CSAM and grooming signals, applying policy consistently and documenting evidence and rationale. Lead well-defined high-risk escalations end to end; anticipate blockers, communicate progress, and make or recommend enforcement decisions within policy and escalation boundaries. Identify potential mandat

About the Team Like every team at OpenAI, the Marketing team contributes to our broader mission of ensuring that artificial intelligence benefits all of humanity. We develop and execute strategies that build understanding of OpenAI, deepen engagement with our key audiences, and communicate why we build, how our technology is creating value, and how we approach its broader societal impact. We work closely with Global Affairs, Communications, Creative, Research, Product, and other teams to translate complex topics into clear, relevant, and compelling stories. Our work spans national campaigns and locally tailored efforts, helping people understand both the opportunities created by AI and the important issues surrounding its development and adoption. About the Role We are seeking an experienced Integrated Marketing Lead to lead policy- and reputation-focused campaigns that strengthen the OpenAI brand nationally and within local communities. This person will spearhead integrated campaigns and corporate communications initiatives that help people understand why OpenAI builds, the impact of our technology, and how we are engaging with some of the most consequential issues surrounding AI—including infrastructure and data centers, jobs and economic opportunity, and youth safety. The role combines national paid media with locally relevant marketing and engagement efforts. The ideal candidate understands policy, public affairs, and civic audiences while also being a sophisticated brand marketer who can make complex subjects accessible and meaningful to a broader public. This person will bring strategic vision, sound judgment, organizational clarity, and exceptional execution to highly visible work. They will collaborate closely with Global Affairs, Communications, Creative, Research, and external agency partners to build trust and shape understanding of OpenAI at both the national and local levels. In this role, you will: Lead policy and brand campaign strategy: Develop integ

About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. Our Communications team includes External Communications, Internal Communications, and other strategic communications functions. This team’s ethos is to support OpenAI’s mission and goals by clearly and authentically explaining our technology, values, and approach to safely building powerful AI. About the Role We’re looking for a senior communications leader to shape how OpenAI communicates about cybersecurity. This person will define the global narrative, lead communications for major product, research, and business milestones, and build sustained programs that explain how OpenAI is helping advance cyber defense while managing the risks created by increasingly capable models. The role will connect OpenAI’s work across cybersecurity products and capabilities, responsible deployment, threat intelligence, enterprise security, research, and public policy. You will work closely with Security, Product, Research, Preparedness, Safety, Global Affairs, Go-to-Market, Legal, and Marketing to anticipate opportunities and risks, develop coordinated communications, and build trust with security practitioners, customers, policymakers, and the public. This is both a strategic and hands-on role. The right person will be comfortable defining a long-term communications strategy, building the systems and relationships needed to execute it, and personally leading through major launches, technical disclosures, and fast-moving issues. This role reports to the Head of Communications, Business and is based in San Francisco, CA. We use a hybrid work model of 3 days per week in the office and offer relocation assistance. In this role, you will: Define and lead communications strategy for OpenAI’s cybersecurity work, from global narrative development through launches, research, threat reporting, and sustained storytelling. Build a clear, differentiated story about how OpenAI can

About the Team We’re hiring Software Engineers to join our broader Infrastructure organization, which supports multiple high-impact teams. Depending on your interests and experience, you could work on one of several focus areas—including Core Distributed Systems, Reliability Engineering, Observability, Developer Productivity or Cloud Infrastructure. About the Role All teams are deeply collaborative, work on mission-critical services, and are responsible for building distributed, scalable infrastructure to bring OpenAI’s technology to the world through products like ChatGPT and the OpenAI API. You’ll work closely with stakeholders to understand infrastructure, data and compute needs, setting the technical strategy that supports cutting-edge research and product development. This is a critical role for someone who is passionate about solving complex engineering problems at scale, ensuring their performance, scalability and reliability Team Focus Areas Distributed Systems: Owning and building important, highly scalable, available, performant, and reliable distributed systems (and their building blocks) to power the entire stack at OpenAI Systems Engineering: Work across layers of the stack—debugging system bottlenecks, evolving core infrastructure, and solving novel problems in performance and scalability. Reliability Engineering: Build scalable, fault-tolerant systems and lead efforts around service health, incident response, and resilience. Observability: Design and maintain observability tooling (metrics, logs, tracing) to give teams visibility into production systems at scale. Developer Productivity: Create tools, environments, and workflows that help engineers ship high-quality software faster and more safely. Cloud Infrastructure: Own the cloud-native infrastructure (compute, networking, storage) that underpins all services and research workloads. Databases: Building high performance, distributed database systems that power all of OpenAI's product stack. In this

Job Details: Job Description: This position is in the Silicon and Platform Engineering, Platform and Experience Architecture, PXA team. This team is responsible for defining experience driven client platforms that delight customers and drive business success. This role is for the Platform Architecture Manager and leader of the Platform Workflow and Competitive Analysis team which exists to translate outside-in insights into platform requirements that define winning client PC experiences. Under a single-umbrella of leadership, PWCAs responsibilities are focused on integrating UX research, ecosystem engagement, competitive analysis, UX workflow development, and data collection into a single operating model that improves PXA's ability to make fast, evidence-based architecture and roadmap decisions. PWCA integrates diverse functions and expertise to uncover insights and translate a data-backed vision into actionable recommendations for complex technology and product roadmap decisions. Its leader must build a cohesive team, foster a strong culture, and establish a decision-making framework that aligns diverse projects and expertise in an open-ended environment requiring long-term, multidisciplinary research and analysis. The qualifications below reflect the experience and capabilities needed to succeed in this role. Experience Experienced managing 10-20 person teams with varied deep areas of expertise Intuitively grasps the unique timelines of IP, SOC, and Platform development and the key moments of intercepting different inputs into the development cycles Proven ability to apply user experience research methods and lead the collection, synthesis, and management of insights from users, customers, and ecosystem partners to inform platform and roadmap decisions Proven experience leading competitive analysis acro

Citi's Markets Quantitative Analysis (MQA) group is seeking a highly skilled VP Quantitative Analyst to join its Equities team. This role is central to the research, design, implementation, and maintenance of cutting-edge Equities Execution Algorithms for Citi's clients and internal trading desks, with a specific focus on North America and LATAM markets. This position offers a unique opportunity to apply strong quantitative, technical, and soft skills to foster innovation within a collaborative team culture, directly impacting trading businesses, control functions, and the global client base. Key Responsibilities Algorithmic Development & Enhancement: Design and develop new algorithms and strategies for the next generation equity trading platform initiative at Citi. Research, design, and implement improvements for existing algorithmic trading strategies (e.g., VWAP, liquidity seeking). Develop and enhance quantitative models, including optimal schedule, market impact models, and short-term predictive signals (e.g., fair value). Implement algorithm enhancements and customizations with production-quality code, applying best practices for modular, reusable, and robust trading components. Data Analysis & Modeling: Perform in-depth analysis of large datasets comprising market data, orders, executions, and derived analytics. Apply statistical modeling and machine learning techniques for data analysis and signal generation. Conduct flow analysis and performance tuning for various client flows. Provide data and analysis to support initial model validation and ongoing performance analysis. Collaboration & Support: Collaborate closely with traders, risk managers, product, sales, and technology teams to integrate quantita

About the Team OpenAI’s mission is to ensure that artificial general intelligence (AGI) benefits all of humanity. Achieving this goal requires more than cutting-edge research—it demands deep, ongoing engagement with the policymakers, communities, and institutions shaping the future of AI. Our approach is grounded in shared stewardship: we collaborate with communities, educators, stakeholders and frontline organizations to co-create AI tools and practices that reflect real needs and expand opportunity. The Global Affairs team leads this engagement. We cultivate authentic, collaborative relationships to ensure that diverse perspectives inform our work. We work shoulder-to-shoulder with communities — meeting people where they are, listening first, and building solutions together. Through sustained collaboration and shared learning, we co-create pilots, tools, and local programs that reflect real needs; we then partner with public officials and peer organizations to help bring those community-shaped ideas to broader practice. In close partnership with our research, product, and policy colleagues, the U.S. Policy and Partnerships team leads our Global Affairs engagement in the U.S. at the federal, state, and local levels, working across regions to anticipate emerging issues, craft forward-looking strategies, and champion policies that align technological progress with human values. Our mission is to help shape the global conversation on AI and ensure that the benefits of this transformative technology reach people everywhere. About the Role As Engagement and Outreach Lead, you will help lead OpenAI’s efforts to build trusted, long-term relationships with third-party organizations, civic and community leaders, and mission-aligned networks that help ensure AI benefits everyone. This role blends strategic partnership and policy development with visible public engagement and coalition-building. You’ll represent OpenAI across education, workforce, technology policy, civic, an

About the Team OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. Safely delivering increasingly capable AI systems requires scalable technical safeguards, clear ownership of emerging risks, rigorous deployment readiness, and close coordination across research, engineering, product, operations, legal, policy, and external partners. Our Technical Program Managers lead complex, high-stakes initiatives that turn safety commitments into deployed systems and measurable outcomes. We work across model development, infrastructure, product, and operational response to help ensure our technology is deployed responsibly and cannot be used to cause serious real-world harm. About the Role We’re seeking Technical Program Managers to drive complex product, platform, and safety initiatives across ChatGPT, API, enterprise, and related deployment environments. These roles operate at the intersection of technical strategy and execution: you will turn safety and product priorities into actionable plans, influence architectural and operational decisions, and deliver durable capabilities across model, infrastructure, application, and platform layers. Depending on the role, you may enable sensitive or high-impact model deployments, integrate safeguards into cloud and API platforms, prevent violent misuse and other serious harms, improve detection and enforcement systems, create platform solutions for safety or establish new programs as risks evolve. You will partner deeply with engineers, researchers, product managers, and operational teams while communicating technical tradeoffs and program decisions to senior leadership. You bring technical fluency, product judgment, and a strong execution record. You’re comfortable navigating ambiguity, advocating for users and developers, balancing safety with model usefulness, and leading cross-functional work with urgency, rigor, and empathy. Specific focus areas and scope will vary by opening and level. Thi

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE As the Head of IT at Baseten, you will build, scale, and secure our internal technology function to support our rapid growth. Reporting to our Chief Information Security Officer, you will lead and mentor a team of 5+ IT engineers, leading the charge to transition Baseten from startup-era IT to a highly automated, enterprise-ready IT organization. You will take full ownership of corporate IT infrastructure, Helpdesk operations, corporate identity management, device lifecycles, and vendor procurement. As we scale to support the world’s most dynamic AI companies, you will ensure our internal systems scale seamlessly with our headcount, providing a secure, frictionless, and world-class technology experience for all Baseten employees. RESPONSIBILITIES Team Leadership: Manage, mentor, and grow a team of IT engineers, fostering a high-performance culture focused on technical excellence and end-user satisfaction. Helpdesk Operational Excellence: Build a fast-response support function by establishing clear response SLAs, tracking employee satisfaction metrics, and formalizing on-call and incident response processes. Zero-Touch Automation: Architect and implement automated employee onboarding, offboarding, and role-based access changes through deep integrations across HRIS, MDM, and IAM systems. SaaS Management & Procurement: Establish comprehensive SaaS management processes to eliminate shadow IT, automate access w

About Pinecone: Pinecone is the leading vector database for building accurate and performant AI applications at scale in production. Pinecone’s mission is to make AI knowledgeable. More than 109,000 customers across various industries have shipped AI applications faster and more confidently with Pinecone’s developer-friendly technology. Pinecone is based in New York and has raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital. About the Role/Team: As a Technical PMM , you will help developers, software engineers, and machine learning scientists understand how Pinecone enables knowledgeable AI applications. You will accomplish this through messaging and positioning, GTM strategy, launch planning, and enablement for key product features. You will work closely with Product, Sales, Developer Relations, and Marketing teams to ensure our customers understand the value of our platform. Responsibilities: Product Launches & GTM Strategy: Develop launch plans for product releases, align with product teams, and manage GTM execution. Lead core launch teams with cross-functional members (documentation , communications, developer relations, product, growth marketing, etc). Measure customer impact and adoption post-launch, iterating on strategies as needed. Positioning & Messaging: Craft compelling, technically accurate messaging for AI-powered search and retrieval solutions. Build product narratives for enterprise and developer audiences that differentiate Pinecone from competitors. Develop and maintain positioning for new product capabilities Customer & Market Insights: Partner with customers to develop case studies, gathering business impact metrics and architectural insights. Engage in customer interviews and research to refine messaging and identify key value drivers. Content Development & Enablement: Develop internal and external enablement materials, including sales training, pitch decks, and GTM enablement sessi

Datadog is expanding the Technical Solutions (TS) organization by seeking a customer-focused, deeply technical Distinguished Architect to join our Product Solutions Architecture (PSA) team. In this role, you will act as a technical multiplier for the world's leading AI labs and AI-native companies. You will bridge the gap between their bleeding-edge infrastructure aspirations and Datadog’s technology roadmap, ensuring our platform natively solves the unique observability challenges of training and deploying foundational models at scale. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Leadership : Demonstrate thought leadership in the AI/LLM space. Influence key decision makers and stakeholders by connecting technical capabilities to organizational and business impact. Advisory : Strategically partner with highly technical Founders, Heads of Infrastructure, and Research Lead peers. Guide them on best practices and emerging industry trends in the AI/LLM space. Lead high-level technical and architectural conversations around AI adoption. Presentations : Lead deep-dive architecture reviews and design engagements with customer teams and their leaders to share industry trends, best practices, and demonstrate how Datadog can support high-throughput hyper scale AI workloads. GTM : Identify emerging AI-native technology shifts and feed them directly back to Datadog Product Management. Co-create custom observability integrations and solutions alongside Product SAs to keep Datadog at the absolute forefront of the AI stack. Collaboration : Collaborate with Product Solutions Architecture (PSA), Sales, Sales Engineering and Marketing in providing high-quality technical resources to a broad audience of practitioners and economic buyers. Hiring : Assis

About the Role In this role, you’ll lead and evolve the design system foundations for ChatGPT. You’ll make nuanced design judgment explicit and usable across product teams, establishing the principles, patterns, and standards that enable coherent, high-quality experiences at scale. A paramount part of this role is raising OpenAI’s craft bar. This work extends beyond maintaining a component library: you’ll define what excellent product design looks and feels like, establish clear guidance for choosing and applying interface patterns, and ensure that new ChatGPT experiences strengthen a coherent system across platforms. Working closely with research, engineering, product, and design, you’ll create a continuous learning loop between design principles, product experiences, evaluation, and evolving technology—shaping a system that becomes more capable and expressive as ChatGPT grows. This role is based in our San Francisco HQ. We offer relocation assistance to new employees. In this role you will: Define an exceptionally high standard for craft and taste, translating that standard into principles, guidance, and examples that elevate the quality of ChatGPT. Own and evolve ChatGPT’s design foundations, including typography, sizing, spacing, layout, motion, accessibility, and responsive behavior. Establish a shared source of truth across platforms and improve the systems connecting tokens, components, patterns, widgets, learning experiences, and app-like product experiences. Build a comprehensive design systems framework with clear, opinionated guidance about when and how product teams should use different interface patterns. Translate design judgment into durable standards and use prototyping and evaluation workflows to test experiences, identify recurring issues, and improve the system. Identify promising patterns across emerging product experiences and turn them into reusable, documented foundations. Partner with research, engineering, product, and design to evolve the d

About the Team Enterprise Verticals builds role-specific ChatGPT Work experiences for high-value enterprise workflows. We combine product engineering, plugins and skills, connectors, data, evaluations, and customer evidence to turn useful demos into reliable daily work. This opening sits within the Technology vertical inside Enterprise Verticals. The group focuses on repeatable workflows for people at technology companies, beginning with functions such as data and analytics, sales, and design, and carries the shared platform needs—tool integration, permissions, quality measurement, and safe rollout—across those experiences. We work closely with Design, Research, GTM, Security, and platform teams, as well as with customers and design partners. Success means that people can reach a trustworthy first result, understand what the system did, and keep using the workflow—not merely that a prototype exists. About the Role We are looking for a full-stack product engineer who can own ambiguous enterprise workflows end to end: understand a customer problem, shape the product, build across frontend and backend, work through platform dependencies, instrument quality, and learn quickly with design partners. You will build across ChatGPT Work surfaces, services, plugins, connectors, and data or permission boundaries when the experience requires it. You will make quality and rollout observable through evaluations, product and operational signals, and clear fallback or rollback paths. This is a product-engineering role for someone who can move between user problems and system details without losing ownership of either. The strongest candidates will be able to turn specific customer evidence into a generalizable product, explain scope and architecture tradeoffs, and carry a feature from an early prototype through a bounded production rollout. In this role, you will: Build and ship role-specific workflows across ChatGPT Work surfaces, services, plugins, and connectors. Turn customer a

About the Team The Early Access Program (EAP) team leads high-impact alpha programs at the intersection of customers, Product, Research, Engineering, GTM, Security, Legal, and launch teams. We partner with customers to test emerging capabilities with real-world use cases, surface actionable insights, and support launch decisions. Our team is made up of builders who learn quickly, collaborate deeply, create clarity in ambiguity, communicate openly, and iterate constantly. About the Role We’re hiring an Early Access Deployment Engineer to lead technical engagements with customers who are leveraging our frontier capabilities to solve real-world use cases. You will work at the earliest—and often messiest—stage of development, when capabilities are still unclear, tooling and processes are evolving, and the path from promising technology to a valuable real-world application has yet to be defined. You will be a hands-on builder, problem solver, and technical partner to customers and our research/product team. You’ll push beyond initial assumptions, identify high-value use cases, prototype solutions, design useful evaluations, and troubleshoot what is and is not working. Managing multiple customer engagements at once, you will help customers navigate ambiguity and difficult technical decisions while translating their experience into clear, actionable feedback for Research and Product. You will also own the end-to-end execution of early access programs—from onboarding customers, supporting live experimentation, synthesizing findings, and informing launch decisions. You’ll collaborate deeply with Research, Product, Engineering, Applied Evals, GTM, Legal, Security, Marketing, and other launch partners to create clarity, manage risk, and keep programs moving through changing conditions. Success in this role means turning frontier capabilities into real-world customer value and high-quality research signals. You will develop reusable technical approaches from early deployments,

About the Team Our economics team is continuously working to improve our understanding of an AI-driven economy. About the Role We are seeking a highly technical Economist to join the OpenAI Economic Research team studying the real-world economic impacts of AI. This role is designed for economists with up to 5 years of professional experience post-Ph.D. who are interested in using novel, large-scale datasets to study how AI is reshaping economic systems. We are looking for candidates with deep expertise in at least one core domain relevant to AI’s economic impact, and an interest in contributing to a broader research agenda spanning labor markets, firm behavior, market dynamics, and macroeconomic change. This is an individual contributor role where the candidate will organize and execute on their own data-oriented projects. You will work at the intersection of economic research, data science, and public policy to produce rigorous empirical work that informs decision-makers across the public, industry, and government. Research Areas of Interest We are particularly interested in candidates with demonstrated expertise in one or more of the following areas: Economic Measurement of AI Impact (e.g., adoption trajectories, labor market transitions, productivity growth, and forecasting/scenario modeling for AI-driven economic change) Macroeconomic Implications of AI (e.g., productivity, technology diffusion, economic growth) AI and the Labor Market (e.g., employment, wages, job search, task-level impacts, skill acquisition) Applicants are not expected to have experience across all domains. We aim to build a team with complementary strengths across these areas. In this role, you will: Design and execute empirical research using large-scale observational or experimental data. Apply causal inference and/or structural modeling techniques to study AI-driven economic change. Collaborate with cross-functional teams to translate research questions into testable frameworks and applic