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WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YOU Are you excited by the opportunity to use data and analytics to drive business growth? Do you bring strong business judgment and a passion for ecommerce, digital analytics, and customer behavior? This is a challenging but rewarding role, set in an entrepreneurial environment backed by strong resources and support. We're looking for a smart, self-driven professional who thrives in a high-visibility position reporting to senior executives. As the Senior Business Analyst for Online Sales, you'll partner with leaders across Sales and Marketing, using behavioral data and digital analytics to drive insights and business action. WHAT YOU'LL DO You'll support our online sales strategy — what we sell, how we sell it, and at what price.

The Wealth Relationship Mgmt. (Branch) Sr. Analyst SAFE Act is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and workflow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area directly affected by the performance of the individual. Responsibilities : Identify, build and deepen relationships to gain incremental wallet share of the affluent and High Net Worth segment with financial planning and excellent discovery and profiling skills. Anticipate the complex financial needs of the client and offer solutions through a wide range of products, services and tools based on client profiling. With the support of product specialists, intuitively recognize and understand a client's banking, credit and investment needs and goals to provide holistic financial solutions. Provide regular value-add

Use Your Power for Purpose Our breakthroughs would not make it to the hands of patients without our pharmaceutical manufacturing team. We rely on a team of dedicated and agile members who understand the importance and impact of their role in Pfizer’s mission. Patients need colleagues like you who take pride in their work and always look to improve outcomes. You will help to ensure that patients and physicians have the medicines they need when they need them. Your contributions will be vital in achieving project tasks and goals, fostering a collaborative team environment, and enabling Pfizer to reach new milestones and provide aid to patients worldwide. What You Will Achieve In this role, you will: Lead and author GMP investigations within Pfizer quality systems for manufacturing deviations, product quality excursions, equipment and facility events, and compliance-related observations. Conduct thorough fact-finding, data collection, and technical assessments utilizing manufacturing records, process data, laboratory data, audit trails, equipment histories, and enterprise systems. Facilitate cross-functional investigation teams to identify root causes using structured problem-solving methodologies and quality risk management principles. Partner with Manufacturing, Quality Assurance, Process Development, Engineering, Validation, and Analytical teams to determine event impact, product disposition requirements, and corrective/preventive actions. Drive investigations to completion while ensuring quality, regulatory compliance, and adherence to established timelines. Evaluate investigation trends and support continuous improvement initiatives aimed at reducing repeat events and improving manufacturing robustness. Support internal and external audits, regulatory inspections, and quality system assessments as required.

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: We are seeking a Quantitative Risk Analysis, Associate II to join the Credit Analytics & Reporting team in the Single-Family division. This position will be tasked with developing deep understanding of data and current code, designing analytical approaches for business questions and scenario evaluations, managing data research, analyses and preparation of reports and presentations. Our Impact: Our team is responsible for producing reporting packages to monitor trends and performance. We analyze different test and learn or pilot programs to assess risk of the offerings and create reports to monitor these offerings closely to assess broad roll out. We perform significant user activities for different enterprise models for user acceptance testing and provide feedback. Your Impact: Implement baseline processes and reports monthly and interpret results as it relates to credit risk management. Follow appropriate controls and standards established to maintain and build documentation for processes & reports. Participate in performing ad-hoc analytics in support of credit policy. Cleanse, manipulate and analyze large datasets using statistical software. Collaborate with team members and interact across organizational lines to meet business objectives. Qualifications: Bachelor's Degree in Statistics, Economics, Finance, Mathematics, Computer Science, Data Science or related field, advanced Degree is a plus Minimum 1-3 years of releva

R&D Manager, Hardware and System Validation Description - HP creates technology that makes life better for everyone, everywhere. Within the Advanced Compute & Solutions BU, Workstations R&D develops high-performance computing platforms for professional, technical, and enterprise customers. The Hardware and System Validation team is central to delivering reliable, high-performance HP Z Workstation platforms at scale and maintaining strong customer and partner confidence. Join the business bringing the future of advanced computing to professionals worldwide. The R&D Manager for Hardware and System Validation leads a team of individual contributors responsible for a variety of lab test functions, system integration testing and platform validation for HP Z Workstations. The role manages multiple ongoing validation efforts through the labs to align resources, ensure suitable test plans and strategies, and drive deliverable achievement inclusive of quality, schedule, and cost. The manager will drive execution from early component-level and platform & system bring-up through initial product launch, sustaining updates, and lifecycle refreshes, ensuring platform quality, customer readiness, and on-time delivery across internal teams, global original design manufacturers, silicon partners, and specialized test suppliers. This role combines direct leadership, application of technical breadth, program execution, supplier management, and continuous improvement. It partners closely with Architecture, Electrical Engineering, Software, Quality, Program Management, Manufacturing, Regulatory, Field Engineering, and external development partners to assess risk, resolve cross-functional issues, and support shipment readiness and customer commitments. The fundamental outcome is outstanding products meeting customer needs and expectations under a variety of professional worldwid

Job Details: Job Description: The Role and Impact As a CPU Architect, you will be at the forefront of Intel's innovation, shaping the future of CPU designs for high-performance computing and low-power products. This role is integral to Intel's mission to deliver cutting-edge solutions that power the world's technology, from advanced data centers to everyday consumer devices. You will play a pivotal role in driving end-to-end CPU architecture specifications, ensuring optimal performance, power efficiency, scalability, and interoperability across hardware and software. Through creative problem-solving and collaboration, you will influence cross-functional roadmaps, define technology targets, and deliver revolutionary CPU architectures that meet diverse market requirements. Key Responsibilities Develop and drive end-to-end CPU architecture specifications based on hardware features, requirements, and lifecycle needs. Define CPU targets for performance, power, frequency, area, and feature content to align with market requirements. Explore new approaches and devise novel architectures that deliver optimized CPUs for multiple segments, from high-performance computing to extreme low-power applications. Invent, conceptualize, and specify architectural and microarchitecture features that address future CPU usage and segment needs. Define and document new instructions to support innovative use cases and improve existing ones, enhancing the instruction set architecture (ISA). Develop and execute test plans and infrastructure for new architectures/features, simulate functional models, and analyze test results using advanced statistical techniques. Propose experimental changes and design alternatives to meet constraints for performance, power, area, and timing. Capable of, but not often r

About the Team OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. A majority of our users interact with our products in languages other than English, and our products must work seamlessly across languages, regions, and cultures. The Internationalization team builds the infrastructure that enables OpenAI products to ship globally by default. We develop the systems that power localization, international product launches, and high-quality global user experiences across all OpenAI products. About the Role As a Senior Software Engineer on the Internationalization team, you will build the systems that power localization and international product launches at OpenAI. You’ll work on the platform that manages product content, translation workflows, and localization infrastructure across our products. This role sits at the intersection of AI systems, developer platforms, and product infrastructure. In this role, you will Build and scale OpenAI’s localization, content, and experimentation platform used across OpenAI product teams, including open-source components: Develop AI-powered translation pipelines combined with human-in-the-loop review workflows. Design systems that reliably deliver localized product content across web and mobile apps. Build tools that enable linguists and localization teams to review and improve translations. Develop developer tooling that simplifies localization and internationalization workflows. Build and maintain internationalization libraries used across OpenAI products: Design systems that correctly handle numbers, currencies, dates, and pluralization across locales. Improve support for multilingual interfaces and right-to-left languages. Partner with product teams to improve the international readiness of new features. You might thrive in this role if you Have strong software engineering experience building backend or full-stack systems. Have familiarity with Java, React, MySQL, and cloud infrastructure p

About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. The Engineering Acceleration team builds products that multiply the effectiveness of OpenAI’s technical teams, helping engineers, researchers, and product teams understand complex systems, learn from what they ship, and operate reliably at scale. As AI changes how software is built, we have an opportunity to rethink engineering workflows from first principles. We’re creating tools and shared systems that turn complex data, experimentation, and technical workflows into clear decisions and useful action. About the Role In this role, you’ll lead design across two connected product areas: a real-time data exploration and observability experience for investigating large-scale system and product behavior, and an experimentation platform for safely launching changes, measuring their impact, and deciding whether to ramp, iterate, or roll back. This is more than a dashboard-design role. You’ll define the interaction models that take someone from a vague question or unexpected signal to a trustworthy answer and clear next step. You’ll work closely with engineers, researchers, data scientists, and product teams to understand the mechanics of their work and make dense technical systems coherent without flattening the details that matter. You’ll also help establish greater consistency across OpenAI’s enterprise and internal tools, developing durable patterns that support AI-native workflows and enable other designers to build more effectively. This role is based in our Seattle, WA or San Francisco, CA offices. We offer relocation assistance to new employees. In this role, you will: Lead end-to-end design for data-intensive products used by engineers, researchers, and product teams. Shape the complete learning loop: instrument, launch, observe, investigate, evaluate, decide, and iterate. Create clear, high-craft workflows for querying, filtering, comparison, drill-d

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. To be eligible for this role, you need to graduate in December 2026 and be able to start full time by January/February 2027. What You'll Achieve: You'll work with others to plan, shape, and build new product features from start to finish: through conception, research, implementation, and maintenance. For example, you might work on driving adoption, by instrumenting key onboarding moments and iterating on activation flows. You'll help improve performance and reliability, or polish existing features. For example, you might update our spell checker to sync dictionaries across browsers or improve search to index file attachments. You'll build internal tools to support simplicity and productivity for the whole team. This might include writing a script to import user feedback into Notion. Qualifications: Pursuing a bachelor's or master’s degree in computer science, engineering, or another related field. To be eligible for this role, you need to graduate by Dec 2026 and be able to start FTE by January/February 2027. Previous internship experience. Working towards a proficiency of one or more programming languages such as TypeScript, Node.js

About the Team The Codex Core Agent team builds the kernel of Codex. We own making the agent better, accelerating research, and making those improvements real in production for our users. That means working across the systems that make Codex actually function as an agent in the real world: the production performance envelope around tokens, latency, reliability, cost, and capacity; the core execution loop and interfaces that turn models into useful behavior; the shared infrastructure that enables other teams to build on Codex; and the feedback loops that turn real-world usage into better models and better agent behavior over time. About the Role We’re looking for engineers to build the infrastructure that powers Codex agents in production. This role focuses on the systems that let models safely execute code, interact with tools, complete long-running tasks, and operate reliably and efficiently at scale. You’ll design and operate the infrastructure behind sandboxed execution, orchestration, stateful workflows, app-server and SDK boundaries, and model rollouts. You’ll work at the intersection of distributed systems, developer tooling, and AI, building primitives that make Codex faster, safer, more reliable, and easier for the rest of the organization to build on. What You’ll Do Design and build execution environments for AI agents, including sandboxing, isolation, and reproducibility. Develop systems for agent orchestration across multi-step, tool-using workflows. Build infrastructure for running, testing, and debugging code generated by models. Create state and memory systems that allow agents to persist context across long-running tasks. Optimize tokens, latency, reliability, and cost across Codex’s production fleet. Support model rollouts, capacity planning, and the core tradeoffs between quality, speed, and economics to manage a fleet of frontier agents at scale. Build shared platform capabilities that unblock product teams, partner teams, and open source Codex. Yo

About the Team OpenAI’s Hardware organization develops system and infrastructure solutions designed for the unique demands of advanced AI workloads. We work closely with architecture, infrastructure, and vendor teams to evaluate system performance and guide critical design decisions. Our team focuses on building and applying performance modeling frameworks to understand system behavior, quantify tradeoffs, and inform next-generation infrastructure design. About the Role We are seeking Performance Modeling Engineers to develop and apply modeling tools that evaluate AI system performance and inform architectural decisions. In this role, you will work closely with the Performance Modeling Lead and partner teams to analyze system behavior, run simulations or analytical models, and help quantify tradeoffs across compute, memory, networking, and storage. You will contribute to building modeling frameworks and applying them to real-world questions that impact system design and vendor decisions. This role is well-suited for engineers with strong software or modeling backgrounds who are interested in developing deeper expertise in system architecture and AI infrastructure. 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 Develop and maintain performance modeling tools and frameworks. Build models to evaluate system behavior across: compute, memory, and interconnect subsystems distributed system scaling and bottlenecks. Run simulations and analytical models to support architectural tradeoff analysis. Collaborate with performance modeling lead and system architects to answer forward-looking design questions. Analyze and interpret modeling outputs, translating results into actionable insights. Validate models against real system measurements and workload behavior. Contribute to improving modeling fidelity, usability, and scalability. Qualifications Strong software engineeri

About the Team The Fleet team builds core components to enable productive research from small to state of the art scale across OpenAI, with the goal of accelerating progress towards AGI. We frequently collaborate with other teams to speed up the development of new state-of-the-art capabilities. About the Role As we scale up with more researchers and engineers joining OpenAI, we seek a pragmatic and passionate engineer with a strong focus on the development experience for both engineers and scientists. In this role, you will be responsible for building and maintaining systems that allow our research + engineering organization to iteratively develop, test, and deploy new features reliably, with high velocity, and with a frictionless and fast development cycle. You will help oversee and drive to the vision of how we should build, test and deploy software. You will drive the design of our continuous integration pipelines, testing infrastructure, training and support around our build system. Our current environment relies heavily on Python, Rust, and C++, which you will take ownership of and strive to transform into a state of the art development experience for research. Ultimately, your role will be to provide the necessary tools and metrics to support our fast-paced culture and ensure a stable, scalable platform for growth, while also fostering a seamless and low friction experience for OpenAI’s research. This role is based in San Francisco, CA. For a San Francisco role, we use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. You might thrive in this role if you: Have supported large monorepo development and deployment before Are a proficient Python programmer working in large monorepos Are proficient with Docker and Kubernetes Experienced in CI/CD About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boun

About the Team The Recursive Self-Improvement (RSI) team works across research, engineering, product, and infrastructure to build AI systems that accelerate and ultimately conduct high-quality research at OpenAI. We work to automate real research workflows and improve research productivity by building systems and feedback loops, designing evaluations, and training models to develop missing capabilities. Our work spans the full lifecycle of model training, evaluation, and deployment to help researchers move faster and tackle increasingly ambitious problems. About the Role We’re hiring research scientists , research engineers , and AI systems engineers to work on automating research at OpenAI. This role is based in San Francisco, CA. In this role, you will: Design evaluations for research judgment, hypothesis generation and testing, and long-horizon experiment execution. Turn real research workflows and model failures into data and evaluation flywheels. Improve model research capabilities through agent harnesses, synthetic data, RL environments, and model training. Build and maintain safe, reliable integrations between our models and OpenAI’s research infrastructure. Develop research agents, experiment-orchestration systems, and sandboxed runtimes that support real research workflows. Create metrics and economic models to understand RSI’s current and future effects on research productivity, model capabilities, and the safety of internal deployments. This is a high-ownership role for researchers and engineers who thrive in ambiguity, move fluidly between research and implementation, and turn emerging opportunities into rigorous, reliable, scalable results. You might thrive in this role if you: Have research or engineering experience across LLM training, model evaluations, agent systems, synthetic data, research infrastructure, or large-scale distributed systems. Are a strong generalist who can move between open-ended research and practical implementation, turning ambig

About the Team The Youth Well-Being product team is part of the Integrity pillar at OpenAI, responsible for ensuring that our state-of-the-art AI technologies are deployed in safe, age-appropriate, and beneficial ways—especially for youth and families. We work across OpenAI’s entire product surface area, from ChatGPT to future-facing tools, to architect safety and trust into the foundation of our systems. Our mission: empower families while meeting the highest standards of regulatory compliance and ethical responsibility. This work is core to OpenAI’s mission to ensure AGI benefits all of humanity. Safety, especially for the most vulnerable users, is more important to us than unfettered growth. About the Role We’re looking for a Senior Software Engineer to help architect and build the foundational systems that power family- and youth-facing experiences at scale. You’ll help define how teens and guardians engage with OpenAI products—ensuring those experiences are safe, compliant, and empowering. You’ll operate across a broad technical surface: building identity primitives, age assurance pipelines, and guardian tools that support both proactive and reactive interventions. You’ll collaborate closely with a cross-functional team of engineers, data scientists, designers, user researchers, and policy experts. This is a high-impact, 0→1 opportunity to set the standard for how families interact with generative AI. In this role, you will: Architect and implement teen and guardian experiences across OpenAI products, including ChatGPT. Build global age assurance systems that are privacy-preserving and tailored to regional compliance needs. Design and evolve our identity infrastructure to support scalable, secure, and resilient user journeys at consumer internet scale. Help define safety and well-being metrics, and continuously improve user trust through technical interventions. You might thrive in this role if you: Have built products or infrastructure for users under 18, or h

About the Team Our Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples’ lives. About the Role We’re looking for a GPU Inference Engineer to contribute to improvements in model serving efficiency for our Robotics research. This is a high-impact role where you’ll drive initiatives to optimize inference performance and scalability. You’ll also be engaged in model design, to help assist our researchers in developing inference-friendly models. This role is critical to scaling the team’s broader goals - it will directly enable leadership to focus on higher-leverage initiatives by building a stronger technical foundation. In this role you will: Perform engineering efforts focused on improving model serving, inference performance, and system efficiency Drive optimizations from a kernel and data movement perspective to improve system throughput and reliability Partner closely with research and product teams to ensure our models perform effectively at scale Design, build, and improve critical serving infrastructure to support Robotics growth and reliability needs You might thrive in this role if you: Have deep expertise in model performance optimization, particularly at the inference layer Have a strong background in kernel-level systems, data movement, and low-level performance tuning Are excited about scaling high-performing AI systems that serve real-world, multimodal workloads Can navigate ambiguity, set technical direction, and drive complex initiatives to completion 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. About OpenAI OpenAI i