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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 seeking experienced engineers for Principal, MTS, and SMTS roles. The level at which candidates are hired will be determined by their years of experience, demonstrated technical depth, and overall qualifications Principal Photonics Integration Engineer The Advanced Packaging Technology Development (APTD) team is shaping the future of memory, storage, and photonics technologies that power AI, high-performance computing, and next-generation data infrastructure. We collaborate across research, device, process, packaging, and manufacturing organizations to develop innovative solutions that move quickly from concept to production. Join a team where technical challenges are complex, innovation is constant, and your work will directly influence Micron's technology roadmap. As a Principal Photonics Integration Engineer, you will lead the development and integration of silicon photonics and heterogeneous integration technologies that enable high-performance optical connectivity solutions. This role combines process integration, advanced packaging, device development, and program leadership to bring new technologies from concept through manufacturing readiness. You will work across multidisciplinary teams to solve complex technical challenges while employing AI-enabled engineering tools to accelerate development and improve decision-making. Responsibilities: Develop an

About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. The Consumer Verticals team explores how ChatGPT can become meaningfully more useful in important areas of people’s lives, including health, finance, and emerging agentic experiences. We work across research, engineering, product, design, and domain experts to turn increasingly capable models into intuitive, trustworthy consumer products. Our work combines the reach of ChatGPT with the depth required to serve distinct user needs responsibly. About the Role In this role, you’ll lead the end-to-end design of new consumer experiences across emerging verticals. You’ll explore how ChatGPT should adapt to different contexts, translate complex model capabilities into clear product interactions, and establish patterns that can scale across multiple domains. This is a highly generative, zero-to-one role. You’ll move between broad product vision and detailed interaction design, creating prototypes that help teams learn quickly and polished experiences that are ready to ship. You’ll also navigate domains where trust, accuracy, safety, and user agency are essential. This role is based in our San Francisco HQ. We offer relocation assistance to new employees. In this role, you will: Shape the product and design direction for purpose-built consumer experiences across areas such as health, finance, and general consumer agents. Design and ship high-quality products from early concepts and prototypes through detailed interaction design and final visual execution. Define how ChatGPT should behave in different domains while preserving a coherent, distinctly OpenAI experience. Explore new interaction models for AI systems that can understand context, support complex decisions, and take action on a user’s behalf. Partner closely with research, engineering, product management, safety, and domain experts to turn technical capabilities into useful and responsible products. Con

Turn promising opportunities into products that create meaningful value for customers and the business. As a senior product manager at Gallup, you’ll anticipate where the market and our customers are heading, determine which opportunities are worth pursuing, and lead the development of products that strengthen Gallup’s portfolio and generate measurable returns. This is not a maintenance role. You’ll own a portfolio of initiatives end to end, bringing structure and execution discipline to complex, cross-functional efforts and making thoughtful prioritization decisions. You’ll partner closely with engineering, design, research and senior product leaders to turn high-potential opportunities into products that customers value and that drive adoption, growth and return on investment. What You’ll Do Identify and size market opportunities by synthesizing customer insights, market and competitive signals and Gallup’s data to determine where to play, which customer segments to serve and the potential return Build business cases, weigh initiatives against business impact, effort and risk, and maintain focused, well-communicated road maps aligned with the product managers who own core products Define success metrics, guardrails, ROI expectations and stop conditions before development begins, and establish the measures needed to evaluate results Drive end-to-end product decisions by clarifying problems, defining scope, validating assumptions with customers and deciding when an initiative should advance, pivot or stop Engage directly with enterprise clients, senior internal stakeholders and early adopters to test ideas, gather feedback and refine products Anticipate risks and surface trade-offs early to keep work focused and moving forward Partner with research and design to create exceptional user experiences grounded in behavioral science and Gallup’s rigorous research standards Lead cross-functional product launches in partnership with the launch program manager Help elevate

About the Team The Codex App team builds and maintains the Codex desktop app and IDE extension — the primary ways developers interact with Codex. Our goal is to make AI feel like a real software engineering teammate inside real workflows: editing code, running tasks, reviewing changes, and coordinating long-running work. We sit at the intersection of research, product, and design. We ship quickly, learn from real usage, and continuously refine both the experience and the harness that connects users to the model. About the Role We’re hiring a Frontend Software Engineer to build a top-tier desktop experience and push forward the interface for working with agents. This is a craft-heavy role: you’ll partner closely with design to prototype, iterate, and polish new interaction models — then turn them into reliable, high-performance product. You’ll help define what great looks like for “human ↔ agent” collaboration: what belongs in the UI, how state is represented, how progress and uncertainty are communicated, and how users stay oriented across long-running and multi-step work. What You’ll Do Build and ship polished, high-performance UI across the Codex desktop app and IDE extension. Partner tightly with design to turn prototypes into production-quality experiences (layout, motion, typography, interaction details). Iterate on future interfaces for interacting with agents: delegation, task timelines, status/progress, handoffs, review, and control surfaces. Own frontend architecture decisions (component systems, state management, navigation, rendering performance). Improve quality and reliability through testing, instrumentation, and thoughtful UX for failure modes. Collaborate with platform/model/backend partners to integrate new capabilities into cohesive product flows. You Might Thrive Here If You Have strong experience with modern frontend stacks (React, TypeScript) and a high bar for UI craft. Love design engineering: sweating the details while keeping velocity. Have

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 ship AI products. THE ROLE We’re looking for a high-performing strategic finance professional to join our growing Product Finance team. Training is one of Baseten's fastest-evolving businesses and it won't be the last new product line we launch. You'll own the economics of Training end to end and be the finance owner for new products as they go from idea to launch to scale, partnering directly with Product, Engineering, Infrastructure, and GTM leadership on the pricing, margin, and capacity decisions that shape each business. This is a builder role: much of what you'll own doesn't exist yet as a model, a dashboard, or a process. This role is ideal for someone with 5 to 8 years of experience across strategic finance, investing, and/or investment banking who wants broad exposure to company-building inside a fast-scaling AI infrastructure company. Experience at a usage-based company is a plus. RESPONSIBILITIES Build and maintain cost-to-serve models for Training engagements across compute, delivery time, and reserved capacity Own Training pricing and recommend structures across committed engagements, usage-based pricing, and packaged offerings Track training capacity utilization and tie capacity plans to pipeline Run the monthly Training business review across bookings, utilization, margin, pipeline, and renewal and expansion trends Own the Training forecast and annual plan, including compute needs, unit costs, and multi-year P&L Partner

About the Team The ChatGPT Space team is rethinking what work looks like when teams and agents can create together. We are building a shared workspace where a rough idea can become a polished, editable artifact, from Pages, Sheets, and Slides to entirely new kinds of work products. Our ambition is to build the best place for teams and agents to turn ideas into things they could not make alone. The work should keep evolving after the first draft, drawing on shared context, improving through collaboration, and staying current as a project moves forward. This is a high-agency team working across product, design, and research. We partner closely with model training teams to shape how frontier models create and edit artifacts, then bring those capabilities into a coherent experience across Pages, files, and tools. The work spans full-stack product engineering, editing and rendering systems, model integration, and collaboration, with a high bar for taste, correctness, and speed. About the Role As Engineering Manager, ChatGPT Space, you will lead and grow the product engineering team defining this experience. You will help shape both the product and the team that builds it, turning an ambitious, evolving vision into software people love to use. You will partner with product and design on what great collaboration between teams and agents should feel like, with research on what models can create, and with infrastructure and enterprise partners on a dependable experience at scale. This is a role for a leader who has built from zero to one and wants to help define a new category of work. You will bring the technical depth to guide hard decisions and the product judgment to know what is worth building, while developing engineers and giving them the clarity and autonomy to ship. This role is based in San Francisco. In this role, you will Lead, manage, and grow a product engineering team, creating clear ownership, supporting engineers’ development, and hiring exceptional people P

About the Team The Applied AI Architect team partners with organizations to turn OpenAI's most capable models into meaningful, real-world impact. We work with customers across industries to identify where AI can create value, design secure and scalable solutions, and help those solutions move from early exploration into sustained production adoption. The team brings together technical strategy, customer partnership, and practical deployment expertise, working closely with Sales, Product, Engineering, Research, and specialist delivery teams. About the Role As the Manager of Applied AI Architects, you will lead a team of senior technical leaders responsible for the technical strategy, customer journey, and path to production value for OpenAI's largest and most complex customers. Your team will act as the “CTO of the book of business,” partnering with customer executives and technical teams from pre-sales discovery and solution evaluation through deployment, adoption, and measurable business impact. You will set the operating model for how Applied AI Architects own technical account plans across ChatGPT Enterprise, the OpenAI API, Codex, and other agentic AI solutions. In close partnership with Sales leadership and Account Directors, you will help prioritize customer portfolios, allocate technical resources, and ensure business priorities translate into focused use cases, credible architectures, actionable adoption roadmaps, and durable customer value and growth. You will remain accountable for the team's technical outcomes while developing its people and bringing in the right specialists across deployment, implementation, enablement, security, product, research, and partners. You will serve as an executive technical sponsor for critical engagements, a senior voice of the customer inside OpenAI, and a cross-functional leader who can move confidently between regional strategy, executive decision-making, architectural depth, and hands-on coaching. This role is based in B

About the Team The AI Architect team partners with organizations to turn OpenAI's most capable models into meaningful, real-world impact. We work with customers across industries and digital-native businesses to identify where AI can create value, design secure and scalable solutions, and help those solutions move from early exploration into sustained production adoption. The team brings together technical strategy, customer partnership, and practical deployment expertise, working closely with Sales, Product, Engineering, Research, and specialist delivery teams. About the Role As an AI Architect, you will be the senior technical owner for a named portfolio of customers and the primary technical counterpart to their leadership teams. You will act as the “CTO of your book of business”, shaping each customer's AI strategy and guiding their journey from pre-sales discovery and solution evaluation through deployment, adoption, and measurable business impact. You will own the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex, and other agentic AI solutions. In partnership with the Account Director, you will translate business priorities into a focused use-case portfolio, an actionable adoption roadmap, and a clear path to durable customer value and growth. The Account Director owns commercial strategy; you own the technical strategy, customer journey, and path to production value. You will remain accountable for the technical outcome while bringing in the right specialists across deployment, implementation, enablement, security, product, and partners to provide deeper expertise and execute work where needed. This role calls for strong industry fluency, sound architectural judgment, and the ability to move confidently between executive strategy and hands-on technical conversations. This role is based in Sydney, Australia. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you wil

CSQ427R238 Sr. Manager, AI Forward Deployed Engineering (FDE) Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements that help customers build and productionize first-of-its-kind GenAI applications, and we work cross-functionally with AI Product, Research, and Engineering to shape long-term strategic priorities. We are looking for a world-class leader to lead and grow our AI FDE team in India. In this role, you will lead customers on their AI transformation with Databricks, push the boundaries of our product, recruit and develop top data scientists/machine learning engineers, and manage a portfolio of key accounts. Candidates should expect to travel at least once a month. You will report directly to our India FDE leader and dotted line to the APJ AI FDE leader. The ideal candidate is based out of Bangalore or Mumbai. Candidates should expect to travel at least once a month. The impact you will have: Lead and scale a high-performing AI forward deployed engineering team, including hiring, mentoring, and building a team structure to support long-term growth and execution at scale Shape cross-functional collaboration by influencing Product, R&D, and GTM, ensuring voice-of-customer insights and delivery learnings help inform the product roadmap and GTM strategy Develop and expand executive relationships with key customers and partners (including VP+, CIO/CDO-level stakeholders), acting as a trusted advisor during complex technical engagements and AI transformations Partner with Field Engineering and Sales leadership to set strategy for strategic accounts and coordinate delivery across functions Lead strategic AI initiatives, practice development, and scalable delivery processes Own OKRs for AI-services led accounts, revenue, utilization, and public references Represent Databricks as a thought leader in AI through conference talks, published content, etc. Wha

About the Team OpenAI is on a bold mission to build the world’s most advanced AI infrastructure. We are seeking a Data Center Network and Structured Cabling Engineer with 10+ years of experience in designing and implementing optimized network and structured cabling solutions at large data centers buildings and data center campuses. The Data Center Engineering team is central to this mission defining infrastructure strategy, driving technical innovation, working with research to set performance benchmarks, and developing reference designs that enable rapid, scalable global deployment. As part of this team, you will help design and deliver next-generation data center infrastructure optimized for AI workloads. You’ll collaborate across research, site selection, design, construction, commissioning, hardware engineering, deployment, operations, and global partners to bring OpenAI’s infrastructure vision to life. Role Summary As a Physical Network & Structured Cabling Engineer, you will own the design, implementation, and quality assurance of structured cabling and physical network infrastructure across OpenAI’s global data center footprint. This role bridges design, construction, and operations, ensuring that every layer of our physical networking from fiber trunks to copper patching meets the highest standards of performance, reliability, and scalability. Key Responsibilities Design and specify physical network infrastructure across data center buildings and campuses, including fiber and copper cabling, network rooms, rack layouts, cable trays, and duct bank pathways. Coordinate with other engineering disciplines to ensure network infrastructure space, power, cooling, and operational requirements are incorporated into the overall design Develop standards, reference designs, and installation guidelines for structured cabling and physical network deployments. Translate logical network architectures and hardware connectivity requirements into scalable physical designs,

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. Join Micron's DRAM Systems & Component Architecture team to develop next-generation software platforms and AI-enabled workflows for memory-system architecture research. This role combines computer architecture, DRAM systems, software development, and artificial intelligence to accelerate architecture exploration, simulation, data analysis, and technical decision making for future memory technologies. The US base salary range that Micron Technology estimates it could pay for this full-time position is: $35.96 - $43.15 an hour Additional compensation may include benefits, bonuses and equity. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target base pay for new hire salaries of the position across all US locations. Within the range, individual pay is determined by work location and additional job-related factors, including knowledge, skills, experience, tenure and relevant education or training. The pay scale is subject to change depending on business needs. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. As a world leader in the semiconductor industry, Micron is dedicated to

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Forward Deployed Engineering (FDE) embeds with our most strategic customers to build production AI systems on Claude. The team takes on work where no playbook exists yet, turns what works into repeatable patterns for partners and our field teams, and brings what it learns back to Product and Research. Demand for FDE is well ahead of the team's capacity, and the team is growing quickly across the Americas, Europe and Asia. We're hiring a dedicated Strategy & Operations Lead for FDE. You'll be the strategy partner to FDE leadership and own the plan: headcount and capacity, the mix of work the team takes on, how engagements are priced and measured, and how more of the work moves to partners. You'll run the business reviews and build the reporting leadership uses to make these calls. You'll sit on our GTM Strategy & Operations team, dedicated full time to FDE. You'll work closely with Finance, Deal Desk, Legal, Revenue Operations, Partnerships and Applied AI, and with the FDE program leads who run pre-sales and delivery. This is a hands-on role. You'll build the models and dashboards yourself and use Claude to automate as much of the reporting as you can. Key responsibilities: Own the plan. Build FDE's annual and quarterly plan: headcount and hiring by region and role, capacity, utilization, and the mix of commercial, research and mission-driven engagements. Model demand and capacity. Build the demand, capacity and staffing models behind the plan, with scenarios leadership can use for hiring and prioritization decisions. Run the business reviews. Lead FDE's monthly and quarterly reviews. Set KPIs with FDE leadership

A Career with Point72's Macro Team Point72’s Global Macro business is a scaled, global investment platform with more than two decades of experience trading across rates, FX, credit, volatility, and emerging markets. Operating across 10 offices worldwide, we have doubled our capital allocation and grown our number of teams fivefold since 2020. We combine deep asset-class expertise with a highly collaborative culture across macro, fundamental equities, and systematic strategies to drive differentiated investment performance and support long-term career growth for our talent. WHAT YOU'LL DO Generate trade ideas across liquid U.S. convertible securities through bottom-up fundamental research Develop credit opinions by analyzing businesses and capital structures across loans, bonds, and credit default swaps Build financial models to assess issuer fundamentals and relative value across distressed, high-yield, and high-grade credit markets Review transaction documentation to identify risks and protections that inform convertible and broader credit investment decisions Synthesize market information across sectors to uncover thematic opportunities and translate insights into actionable trade recommendations Form differentiated investment views that challenge consensus and clearly articulate conviction behind those ideas Monitor existing positions by tracking news flow, fundamental developments, and supply dynamics that may affect investment views Communicate research conclusions clearly, including key risks, relative value considerations, and factors that could affect the investment thesis WHAT'S REQUIRED 1+ years of experience conducting credit research on the buy-side or sell-side Interest in public markets and trading, with a focus on applying research to investment decisions Strong fundamental credit research skills, including financial modeling and relative value analysis Familiarity with credit securities, including bonds, convertible bonds, and credit default swaps Co

At Curai, we believe that access to high-quality healthcare is a fundamental human right, not a privilege. Our mission is to radically transform healthcare delivery by harnessing the power of artificial intelligence and clinical expertise to make care more affordable, accessible, and effective for everyone. Patients interact with advanced AI systems at every step of their care and follow-up. Licensed physicians review each case with the patient for the clinical decision in our integrated virtual clinic. We ground our approach in rigorous research, continuous learning, and a deep commitment to clinical integrity. We focus on making a real impact: improving health outcomes, expanding access to care, and setting new standards for what trustworthy, patient-centered healthcare is. Read some of our latest publications. About the Senior Software Engineer, Agentic AI role We are hiring a Full-Stack Senior Software Engineer across a range of seniority levels to push the frontier of agentic / applied AI in healthcare. As a member of the technical staff on the artificial intelligence engineering team, you will design, build, and ship ML and LLM systems (agentic AI workflows) that directly shape how clinicians and patients interact with our platform. You will work end-to-end: framing the problem, exploring data, training and evaluating models, productionizing inference, and measuring real-world clinical and product impact. The bar is high and the surface area is large; we are looking for engineers who want significant ownership and are excited to operate where research meets production. What You'll Do Lead the technical execution of complex AI initiatives, owning the design and delivery of solutions within a product or technical domain while partnering with senior engineers on broader architectural direction. <span style="

Hyliion is committed to creating innovative solutions that enable clean, flexible and affordable electricity production. The Company’s primary focus is to develop distributed power generators that can operate on various fuel sources to future-proof against an ever-changing energy economy. Job Purpose The Advanced Engineer, Combustion Aerodynamics is a hands-on technical contributor to the research, testing, and development program for the KARNO generator's reactor and oxidation system. This position executes combustion aerodynamics test campaigns, analyzes experimental and simulation data, and supports development and validation of combustion hardware. The position works closely with mechanical, thermal, and performance engineering to translate combustion test data into system design decisions and supports emissions testing in connection with regulatory certification requirements. AI at Hyliion At Hyliion, AI is core to how we work. We equip every team member with leading AI tools and count on you to use them — to move faster, solve harder problems, and help us realize the full potential of KARNO technology for the world. Duties and Responsibilities Execute combustion aerodynamics test campaigns, including instrumentation setup, experiment execution, data collection, and documentation of results. Support development and validation of the reactor and oxidation system, including fuel/air mixing characterization, emissions measurement, and heat release analysis. Operate and maintain laboratory facilities used for combustion aerodynamics system development, and support expansion of lab capability as the program grows. Apply 1D reactor network models (CANTERA or CHEMKIN) to finite-rate chemistry analysis and correlate simulation predictions with experimental results. Use CFD tools (ANSYS Fluent or CFX) to support aerodynamic and thermal analysis of combustion and oxidizer geometry. Support emissions testing and data reporting