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About the Team ChatGPT is a rapidly evolving system: new capabilities ship continuously, product surfaces change quickly, and usage patterns shift week-to-week. Supporting that pace requires infrastructure that can handle real production constraints—high concurrency, unpredictable traffic patterns, complex dependency graphs, and frequent change. The ChatGPT Infrastructure team builds and operates the platforms that enable fast iteration without compromising performance or reliability. We design shared systems, data paths, rollout mechanisms, and reliability guardrails that teams rely on to ship changes to ChatGPT at scale. We focus on high-leverage infrastructure: primitives and “golden paths” that incorporate operational lessons as defaults, so engineers don’t need to rediscover failure modes, latency pitfalls, or integration issues each time they build something new. About the Role We’re hiring Senior and Staff Engineers to design and build infrastructure systems that underlie ChatGPT and multiply the effectiveness of teams building user experiences. This is not a support-only role. It’s a platform-building role: you’ll define interfaces, develop core abstractions, and create tooling to make safe, fast iteration the norm. Your work will reduce friction, prevent regressions, improve performance, and ensure systems scale gracefully as the product grows. Where You Can Have Impact You might work on one or more of the following areas (without being restricted to any single area): Platform foundations & frameworks: Core libraries, service frameworks, and shared components that standardize system building, integration, and evolution. Scalability & performance primitives: Patterns and infrastructure that reduce tail latency, improve throughput, and keep costs predictable as demand increases. Reliability guardrails: Mechanisms that prevent outages by design—rate limiting, load shedding, dependency isolation, backpressure, safe fallbacks, and robust regression contr

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. The Heterogeneous Integration Group (HIG) sits within the Technology and Products Group (TPG). We are developing High Bandwidth Memory (HBM) solutions for AI and ML applications! We stack multiple DRAM chips on a high-speed memory controller using TSV (Through Silicon Via) technology, dramatically increasing memory density and bandwidth. Our designs span custom digital and RTL2GDS flows, and we are targeting the lowest power per bit in the industry. Join us as a Senior Verification Engineer and contribute to modular, scalable verification solutions for next-generation HBM DRAM products! You will work independently within a multi-functional team of technical domain experts, spanning both IP-level and SoC-level verification. You will collaborate with Design Engineering, Product Engineering, and Business Units to complete the HBM verification roadmap. You will apply your solid understanding of testbench architecture, custom or SoC verification methodologies, and 2.5D & 3D package integration to evaluate issues, define solutions, and broaden your expertise. Responsibilities: Develop and implement verification plans and architecture collateral across IP-level and SoC-level verification for current and future HBM designs Support co-verification of the overall system and participate in customer interactions to gather feedback and provide recommendations for future HBM solutions Build and improve verification methodology components and GenAI applications aligned to HBM design cycles, broadening cross-disc

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Advanced Packaging Technology Development is where Micron pushes the boundaries of 3D memory. We take ideas from early experiments to factory‑ready processes, working hands‑on with materials, tools, and partners across the industry. If solving foundational problems that shape future products excites you, you’ll feel right at home here! This role is a senior Process Engineering Technical Leader focused on chip‑to‑wafer and hybrid bonding. You’ll lead the development and scale‑up of bonding processes that enable high‑performance 3D memory products like HBM and 3DS DRAM. Your work will span early pathfinding through high‑volume manufacturing, with a clear impact on reliability, performance, and cost. Responsibilities: Set technical direction for chip‑to‑wafer and hybrid bonding processes across development programs Develop and mature process flows, materials, and integrations that meet performance, reliability, and cost needs Lead problem solving across wafer fab, die processing, bonding, thinning, and downstream packaging interactions Partner with integration, equipment, product, manufacturing, and quality teams to deliver TD breakthroughs Drive technology transfer into manufacturing with a focus on repeatability and high‑volume readiness Minimum Qualifications: Master’s degree or PhD in Materials Science, Electrical, Mechanical, or Chemical Engineering, or a related field 13+ years of semiconductor R&D experience, incl

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 support next-generation infrastructure design. About the Role We are seeking an Performance Modeling Engineer to support the development and application of modeling tools used to evaluate AI system performance and inform architectural decisions. In this role, you will partner closely with Senior Performance Modeling Engineers and the Performance Modeling Lead to analyze system behavior, run simulations and analytical models, and help evaluate tradeoffs across compute, memory, networking, and storage. You will contribute to building modeling frameworks while developing a strong foundation in system architecture and AI infrastructure. This role is ideal for early-career engineers with 1–2 years of experience in software engineering, systems analysis, or performance modeling who are excited to grow in large-scale infrastructure and hardware/software systems. 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 Support the development and maintenance of performance modeling tools and frameworks Assist in building models to evaluate system behavior across compute, memory, networking, and interconnect subsystems Help analyze distributed system scaling behavior and identify performance bottlenecks Run simulations and analytical models to support architecture and infrastructure decisions Partner with senior engineers to evaluate design tradeoffs across hardware and system components Interpret modeling outputs and help translate findings into clear recommendations Vali

About the Team OpenAI is building the infrastructure foundation for the next generation of AI. The Data Center Engineering team defines the strategy, reference architectures, technical requirements, and delivery standards for the large-scale data centers that support OpenAI research, products, and infrastructure partners. As a Data Center Infrastructure Electrical Engineer, you will help define, validate, and scale the electrical power systems that support high-density AI compute. You will translate evolving compute requirements into practical facility and rack-power architectures, evaluate new technologies and vendor solutions, and drive technical decisions across design, manufacturing validation, construction, commissioning, deployment, and operations. This role is best suited for a senior hands-on engineer with deep experience in mission-critical power systems, strong judgment under ambiguity, and the ability to connect facility infrastructure, hardware requirements, controls, telemetry, reliability, and operations. About the Role We are seeking a senior electrical infrastructure engineer to lead the development of reliable, scalable, and efficient power architectures for high-density, liquid-cooled AI data centers. The ideal candidate has strong practical experience with critical electrical systems at data centers or comparable industrial scale, including medium-voltage and low-voltage distribution, utility interfaces, backup power, UPS and battery systems, rack power delivery, grounding, protection, controls, and monitoring systems. You should be comfortable moving between long-range architecture, detailed engineering review, lab validation, vendor qualification, field deployment, and operational troubleshooting. Key Responsibilities Design and optimize electrical topologies and equipment strategies that reduce cost, accelerate schedules, improve efficiency, increase scalability, and maintain high reliability and maintainability. Review and develop basis-of-des

Overview: Guidepoint’s Business Development teams are passionate about expanding our reach with both new and existing clients. We support all Guidepoint’s service offerings, helping to build relationships and communicate how Guidepoint helps clients stay informed and make better business decisions. Our teams are motivated to provide custom offerings designed to help every potential client make the most of their partnership with Guidepoint. The Tokyo team is looking for a Business Development Associate to further develop our business with major Corporations within the region . The Associate will be responsible for assisting in building a pipeline of prospects across various industries. This is an exciting opportunity for a self-starter who wants to learn more about the Corporate sector and make a significant contribution to our business model. What You’ll Do: Conduct outbound prospecting to qualify new business leads and help source new business opportunities Partner with senior sales team members schedule meetings with new prospects, set up meetings with existing strategic accounts to identify growth and cross selling opportunities, and manage client feedback calls. Meet designated prospecting and meeting targets through cold calling and other lead generation efforts. Assist in the development of marketing materials and client presentations. Develop a working knowledge of the primary research methods, the competitor landscape, and the institutional investment industry investment process and investment strategies. What You Have: High level of fluency in Japanese and English. Bachelor's degree from a tertiary institution Broad base knowledge of the sales process from lead generation to relationship management. Excellent communicator capable of handling high-profile clients Demonstrated ability to work in a team atmosphere. Desire to work in a sales/ lead generation role that is KPI and metrics-driven. A desire to work in a fast-paced, results-oriented environment. Wha

About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. Expectation: • Working closely with vertical product managers/ business leads to understand product use cases, customer journeys, business applicability and impact of each use case. • Ability to understand different technology platforms, their features and be able to work with solution architects/engineering leads and write detailed product requirement documents, manage future roadmaps and deliverables • Make sure that clear, simple, and technically sound decisions are made • With your strong domain knowledge of lending platforms, we expect you to provide your subject matter expertise in requirements solutioning • Ability to work with multiple stakeholders / senior management / cross-functional teams to influence them for quicker decisions, manage sudden technical roadblocks and be able to clear them • Lead product team processes (Agile/Scrum) and manage expectations and track roadmap regularly • Be involved in what your team is building - Run edge cases, test products proactively and its features to provide feedback early in the cycle, make sure entire journeys are covered, and that product reporting exists to track KPIs for the product and its success (data-driven product management). Superpowers that will help you succeed in this role: • Bachelor’s degree in engineering, computer science and/or related field • Professional experience in a product management or analytical role with hands on experience in banking processes • Having deep understanding of Lending in Product Management role building credit platform products Knowledge of Fintech/ BFSI/ Lending domain • Exp should be in between 2 - 4 years, out of whi

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. We are the team defining the future of memory systems. Our DRAM Architecture organization works at the intersection of silicon, packaging, systems, and customers to build technologies that power next-generation platforms. If you enjoy solving ambiguous problems that matter at industry scale, this is the place. This role is a senior technical leadership position with broad architectural ownership. You will develop complete DRAM system architectures, impact industry direction, and engage directly with customers and executives to convert complex ideas into scalable products. Responsibilities: Define next-generation memory system builds focusing on performance, capacity, RAS, and telemetry Lead cross-stack co-optimization spanning silicon, package, module, board, and system Architect sophisticated RAS and telemetry features and translate system needs into silicon Drive long-range memory technology strategy and influence industry standards Act as a senior technical liaison to customers, executives, and partners Minimum Qualifications: Bachelor’s degree or relevant equivalent experience in EE, CE, CS, or a related field Extensive hands-on experience in DRAM or memory systems architecture Deep understanding of DRAM timing, signaling, power, and reliability mechanisms Proven ability to translate system requirements into silicon architecture Preferred Qualifications: Master’s degree or PhD, or equivalent experience, in a related technical field Recognized techn

About the Team The Strategy & Operations team at DoorDash is the driving force behind the In-Store business line’s long-term growth and operational excellence. We work cross-functionally to develop and execute key initiatives that align with In-Store's strategic goals, ensuring scalability, efficiency, and optimal performance across the organization. Our team is focused on leveraging data-driven insights, improving processes, and guiding business decisions that enhance customer experience and foster company-wide innovation. About the Role DoorDash is looking for a senior Associate Manager, Strategy & Operations to own and accelerate our global payments growth strategy. In this highly visible role, you will act as the strategic "train conductor" for our payments business, working to hit ambitious annual revenue targets by driving the adoption of transactional features across our merchant base. To be successful, you must possess a deep understanding of the payments industry—specifically how payment gateways, Merchant of Record (MoR) models, and transaction fees operate within B2B SaaS ecosystems. You will be directly goaled on moving the needle on critical metrics: increasing payments attach rates, boosting online GMV per venue, and optimizing our take rates. You will partner closely with Product to build new payment-driving features from scratch, shape our global Pricing & Packaging strategy, and rally Sales, Marketing, and Customer Success to execute holistic Go-To-Market launches. This role requires a highly autonomous, confident leader who thrives in ambiguity, can synthesize complex data into actionable insights, and can influence executive stakeholders without direct authority. The ideal candidate is an autonomous owner who can build consensus, synthesize complex data, and navigate 0-to-1 product launches in a fast-paced B2B SaaS environment. You’re excited about this opportunity because you will… Drive Payments Growth: Own the strategy to incr

MongoDB’s Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer and sits at the heart of our next-generation cloud storage architecture. This relatively new team is building performant, multi-tenant distributed storage services that both enhance today’s Atlas storage stack and enable more customer workloads to run more efficiently. As the Site Reliability Engineering Manager for SLS, you will partner with the teams building these storage services to define SLOs, shape capacity plans, and ensure the reliability, durability, and operational safety of the storage layer that underpins Atlas. You’ll help grow and lead a small, senior team of SREs as founding members of this organization, playing a crucial role in executing on a multi-year roadmap for MongoDB’s cloud storage architecture. We are looking to speak to candidates who are based in Dublin for our hybrid working model. Responsibilities Build and lead a team of 6-8 engineers, fostering a positive culture, handling career growth and performance conversations, and proactively removing blockers Define and drive a clear technical vision and comprehensive roadmap for our multi-tenant distributed storage systems, balancing long-term strategic infrastructure goals with immediate engineering needs Contribute through hands-on technical work, such as leading architectural design reviews, reviewing PRs, and stepping in to guide the team through complex operational challenges Act as the primary liaison for the Storage Layer Services SRE team, collaborating closely with other engineering leaders to ensure platform alignment and manage stakeholder expectations You may be a good fit if you Have 10+ years of experience working on software and operating distributed systems, with 2+ years managing engineering teams Possess a customer-focused mindset, treating internal developers as your primary users Value efficiency in processes and operations, and have a track record of optimizing team workflows Pr

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. As a Senior Engineer in Process Development for Cell Film, you are an early‑career technical contributor responsible for executing process development activities for cell film modules supporting advanced NAND memory technologies. This role focuses on building strong fundamentals in thin film processes, disciplined experimental execution, and understanding process‑device interactions under guidance from senior engineers. Key Responsibilities Process Execution & Learning Execute established thin film processes (ALD/CVD) according to defined procedures and development plans. Run experiments, collect data, and maintain accurate documentation of results. Learn process fundamentals, key knobs, and sensitivities for assigned film steps or unit processes. Data Analysis & Reporting Perform basic data analysis and summarize results in clear, structured formats. Identify obvious trends, anomalies, and repeatability issues in experimental data. Present findings in team forums with guidance from senior engineers. Tool & Process Support Support day‑to‑day process development activities on cell film equipment. Learning tool operation pr

A Career with Point72’s Valuation Team The Point72 Valuation team manages the valuation of all investments across the firm’s extensive hedge fund, private equity, and venture capital portfolios. The team’s investment valuation coverage ranges from exchange traded products to derivatives traded in OTC markets, to venture capital and private equity. The Valuation team provides valuations and P&L for investments for stakeholders across the firm, including Senior Management, portfolio managers/deal teams, Risk Management, and investor reporting. What you’ll do Manage the valuation of mortgage-backed securities, including specified pools, CMOs, TBA/TBA options, and non-agency products. Oversee market data inputs to valuation models, ensuring compliance with the firm’s valuation policy. Perform model validation for new or upgraded valuation models supporting new products and system enhancements. Perform price testing analysis against counterparty valuation and third-party pricing vendors such as Bloomberg, JPM PricingDirect, and BofA PriceServe. Maintain valuation support documentation to evidence the accuracy of investment valuations. Partner with investment professionals, Risk, and other supporting teams on pricing, valuation, P&L, and valuation models. Collaborate with the Technology team to implement valuation setups for new products and automate valuation processes. What’s required 7+ years of mortgage valuation experience covering agency MBS, including specified pools, CMOs, TBA/TBA options, as well as non‑agency products such as RMBS, CMBS, and CLO. Strong quantitative or finance background. Strong knowledge of derivatives valuation modeling principles. Knowledge of financial products and Greeks, particularly in the derivatives space. Strong sense of ownership and the ability to resolve issues independently. Excellent interpersonal and communication skills, both written and verbal, with the ability to work effectively on a cross-functional team. Strong lead

About the Job: LaunchDarkly is looking for a Data Analyst to join our Data & Analytics team in Ireland. In this role, you will focus on building and scaling reliable data models, automating reporting, and supporting global analytics delivery. You will partner closely with the Senior Data Analyst (Revenue & Metrics), Data Engineering, and business stakeholders to translate business logic into clean, scalable datasets. This role plays a key part in ensuring that defined metrics (e.g., ARR, NRR ) are consistently implemented, automated, and delivered across the organization. Responsibilities: Data Modeling & Transformation Build and maintain scalable data models using modern tools (e.g., Snowflake, dbt). Translate defined business logic (e.g., ARR calculations) into clean and reusable datasets. Metrics Implementation Implement and maintain standardized metrics (e.g., ARR, NRR , churn) in the data layer. Ensure consistency across dashboards and reports. Automation & Pipeline Support Work with Data Engineering to automate data pipelines and reduce manual reporting processes. Dashboarding & Reporting Develop and maintain dashboards that provide consistent and reliable visibility into business performance. Data Quality & Validation Validate data outputs, identify inconsistencies, and support reconciliation efforts across systems (e.g., Salesforce, billing systems). Global Collaboration Partner with teams across the US and EMEA to deliver timely and high-quality analytics outputs. Qualifications: Typically requires a minimum of 5 years of related experience in data analytics, business intelligence, or analytics engineering Strong SQL skills and experience working with structured and large datasets Experience with modern data tools (e.g., Snowflake, dbt, Looker or similar) Experience building and maintaining data models and dashboards Experience implementing business logic into data transformations Strong attention to detail and ability to ensure data

Opportunity Overview: This is a unique opportunity to join a high-caliber software engineering team that is experiencing rapid growth. You’ll play a key role in building impactful healthcare technology on a modern technology stack, with a focus on our core data and AI platforms. Your work will focus on enhancing the platform's key features while also balancing scalability, reusability, and performance. As a Staff Engineer on the Application Engineering team, you’ll serve as a senior technical leader - responsible for designing and delivering high-quality, scalable software systems that power Cohere Health’s core platform. You’ll act as a multiplier, elevating the technical bar for the team, mentoring engineers, and partnering with product, data, design , clinical and payment teams to deliver solutions that meet compliance, quality, and performance standards. This role is ideal for engineers who thrive on solving complex problems in healthcare, have deep expertise in building distributed systems including data solutions, and want to influence architectural decisions for security and scale, drive cross-collaborations for alignment, establish technical standards for consistency and evolve both application and data engineering best practices at scale. What you’ll do: Technical Leadership & Architecture Define and drive the architecture of large-scale, distributed application systems across the Cohere platform. Ensure solutions are secure, performant, maintainable, and compliant with NCQA, CMS, and payer requirements. Champion platform engineering best practices in CI/CD, testing, release management, and observability. Hands-On Engineering Write clean, maintainable, and well-tested code, primarily in modern frameworks (e.g., Python, TypeScript/React, Java/Kotlin). Lead the development of core features and APIs that directly impact providers, payers, and patients. Partner with DevOps and Data teams to ensure seamless integration, scalability, and operati

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. As a DMTS (Distinguished Member of Technical Staff), you will participate in a groundbreaking Next Generation NAND research and development Dry Etch team moving Advanced NAND and dry etch technology forward. The position provides ample chances for innovation, cooperation, and exploring new scaling methods with Next Generation NAND. A DMTS Dry Etch Engineer is a senior individual contributor and top industry expert who defines, develops, and transfers advanced dry etch processes for Micron NAND technologies. You will work directly with process integration and other areas including Wet Etch, CVD, Diffusion, Metals, Lithography, and CMP. You will operate innovative dry etch chambers and lead the process roadmap to achieve program and yield targets. Your responsibilities include, but are not limited to: Leading advancements in Dry Etch technology and essential module development Act as a technical expert for dry etch process, hardware and applications in NAND technology development at F10, Singapore. Your position encourages delivering broad technical vision, deep domain expertise, and perspective advised by extensive knowledge of dry etch physics/chemistry. Define the equipment roadmap. Work together with suppliers and develop a mechanism-focused logical hardware ro