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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. Responsibilities: Drive Materials Cost Strategy and Goals Define and guide short- and long-term materials cost strategies aligned with manufacturing priorities and business goals Lead initiatives across multiple functions to identify, prioritize, and deliver cost reduction opportunities with measurable results Provide technical leadership in handling expenditures related to materials, guiding priorities and decisions across sites Define program scope, goals, timelines, and resources with collaborators Establish and improve methodologies, governance, and tools to scale and sustain cost programs Technical Leadership and Program Management Structure and lead programs across multiple initiatives, including prioritization, breakthroughs, tracking, and risk management Develop cases, execution plans, and provide regular updates to partners and leadership Identify technical and operational challenges early and drive timely solutions Maintain effective governance and review cadence to support decisions and execution Partner with sites, engineering, and procurement teams to convert ideas into implemented solutions and realized savings Cross-Site Leadership and Influence Act as a subject matter resource in materials cost and value engineering, providing mentorship to collaborators and senior leaders rs Strengthen alignment across sites by sha

About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Enterprise Applied AI Engineer, you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. In this role, you will: Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria. Design, build, and deploy AI systems that solve important customer problems and produce measurable business outcomes. Work hands-on in code to build pr

About the Team The Ecosystem Applied AI Engineering team supports strategic partners as they build high-quality technical integrations into ChatGPT and Codex. Our goal is to create products users depend on, drive adoption and retention, and build an ecosystem where partners win when OpenAI wins. About the Role We are looking for an Applied AI Engineer to help strategic partners design, build, evaluate, submit, launch, and maintain high-utility plugins for ChatGPT and Codex. This is a hands-on, partner-facing product engineering role for someone who can contribute to the platform itself, lead sophisticated partner engagements, and translate ambiguous product needs into production-ready integrations. You will work across partner product and engineering teams and OpenAI's product, engineering, partnerships, legal, policy, design, and go-to-market teams. You will identify the right use cases, prototype and review implementations, run evaluations, debug issues across systems, guide partners through submission and review, and support launch and post-launch iteration. The best person for this role moves fluidly between code, product judgment, project leadership, and clear communication with engineers and executives. This role is a fit for a product minded engineer who wants to stay close to users and partners while still going deep on code, reliability, evaluations, and developer experience. The goal is to help partners ship plugins that are not merely technically functional, but genuinely useful in ChatGPT and Codex. This role is based in our San Francisco office. 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 will: Own the technical partner journey for priority B2B plugins—from pitch and readiness assessment through architecture, build, evaluation, submission, launch, and ongoing maintenance. Identify strong plugin use cases, define crisp user journeys and expected behaviors, and help partne

About the Team The Privacy Engineering Team at OpenAI is committed to integrating privacy as a foundational element in OpenAI's mission of advancing Artificial General Intelligence (AGI). Our focus is on all OpenAI products and systems handling user data, striving to uphold the highest standards of data privacy and security. We build essential production services, develop novel privacy-preserving techniques, and equip cross-functional engineering and research partners with the necessary tools to ensure responsible data use. Our approach to prioritizing responsible data use is integral to OpenAI's mission of safely introducing AGI that offers widespread benefits. About the Role As a part of the Privacy Engineering Team, you will work on the frontlines of safeguarding user data while ensuring the usability and efficiency of our AI systems. You will help us understand and implement the latest research in privacy-enhancing technologies such as differential privacy, federated learning, and data memorization. Moreover, you will focus on investigating the interaction between privacy and machine learning, developing innovative techniques to improve data anonymization, and preventing model inversion and membership inference attacks. This position is located in San Francisco. Relocation assistance is available. In this role, you will: Design and prototype privacy-preserving machine-learning algorithms (e.g., differential privacy, secure aggregation, federated learning) that can be deployed at OpenAI scale. Measure and strengthen model robustness against privacy attacks such as membership inference, model inversion, and data memorization leaks—balancing utility with provable guarantees. Develop internal libraries, evaluation suites, and documentation that make cutting-edge privacy techniques accessible to engineering and research teams. Lead deep-dive investigations into the privacy–performance trade-offs of large models, publishing insights that inform model-training and prod

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. Job Description As a Central Planning Modeling Engineer, you will be a central contact for the manufacturing network, calculating and presenting capital impact of process changes to senior leaders in Manufacturing and R&D . You will be responsible for connecting many parts of the business in order to drive the execution of manufacturing and cost saving processes, including supply change, finance, engineering, procurement, production and planning. Innovation is highly valued at Micron, and you will have the opportunity to develop new tools to expedite, optimize and refine the planning and reporting processed used across the network. The ability to understand and effectively communicate the capital and operational impacts of manufacturing changes is important. Attention to detail and ability to work in where information is ambiguous will be extremely valuable Responsibilities Lead network tool utilizations strategies and benchmark performance to optimize the company’s deployed capital Lead and communicate improvement and implementation plan to all relevant levels and functions in Manufacturing Optimize capacity of install equipment and lead sites and tool level optimizatio

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. Job Summary This team member will focus on performing semiconductor design engineering assignments including engineering and designing chip layout circuits, circuit checking, documenting specifications, and modifying and evaluating semiconductor devices and components. Typically responsible for projects, or portions of projects, to design, fabricate, optimize, and validate memory circuit solutions while supporting advanced semiconductor technology development. Responsibilities Design, layout, and optimize memory circuits with a focus on performance, power, area, and manufacturability. Perform circuit simulation and analysis using industry-standard tools such as SPICE and Verilog to validate circuit functionality. Develop and support schematic blocks including memory arrays, control logic, address decoders, datapaths, and internal test circuitry. Evaluate design architecture tradeoffs and incorporate layout parasitics to ensure robust circuit operation and silicon success. Drive innovation through test chip development, silicon validation, and AI-enabled improvements to design methodologies and workflows. Minimum Qualifications Bachelor’s degree in Electrical Engineering (BSEE) or higher, or equivalent experience. Basic understanding of memory array architectures, circuits, and operation. Strong understanding of circuit simulation setup, analysis, and debug techniques. Strong written and verbal communication skills with the ability to convey technical concepts

About the Team The Support team is central to ensuring that our customers' experience with our products is nothing short of exceptional. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from individual customers to early-stage startups and established global enterprises. Given OpenAI’s breakneck shipping cadence and growth – and the expectation that it will only accelerate – our ability to architect automation systems and agentic workflows for scale is central to our ability to maintain exceptional support quality in the face of AGI. About the Role We are seeking a Support Operations Lead who combines operational leadership, systems thinking, vendor management, and hands-on execution. You’ll own service health, automation programs, partner and vendor management. In addition to delivering high-quality service, you’ll identify opportunities to reduce manual work, experiment with tools and help operationalize AI across support at scale. This is not a traditional support operations lead role. We’re looking for someone to help us define the future of support, who thrive at the intersection of team/project management, systems building, data science/engineering, and with deep craft experience in the support operations space. 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. 1-2 weeks of travel per quarter may be required. In this role, you will: Lead and evolve organizational design for our frontline operations across partner and vendor management, coaching teams to expand automation and deliver measurable capacity gains. Lead multi-site partner management, including co

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. For more than 45 years, Micron Technology, Inc. has redefined innovation with the world’s most advanced memory and semiconductor technologies. We’re an international team of visionaries and scientists, developing groundbreaking technologies that are transforming how the world uses information to enrich life. We are hiring a Layout Engineer for Micron Technology’s HBM Team in Hyderabad, India. In this role, you will contribute to advanced applications including artificial intelligence and high-performance computing solutions with High Bandwidth Memory. You will coordinate with peer groups across Micron's worldwide locations on multiple projects, providing an exceptional chance for career development! Role and Responsibilities • Responsible for Design and development of critical analog, mixed-signal, custom digital block, and full chip level integration support. • Perform layout verification like LVS/DRC/Antenna, quality check and support documentation. • Responsible for on-time delivery of block-level layouts with acceptable quality. • Demonstrate leadership qualities in area/time estimation, scheduling, and execution to meet project schedule/milestones in multiple project environments. • Ability to guide Peer team-members in their execution of Sub block-level layouts & review critical items. • Effectively communicating with Local engineering teams to assure the success of layout project

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. As a DRAM System Engineer in the DRAM System Validation Group at Micron Technology, Inc., you will be responsible for system-level validation, system characterization, failure analysis and experimentation as requested. We will be running and configuring diagnostic software, designing experiments, analyzing and interpreting data, crafting custom tools, and presenting data to customers both inside and outside Micron. Apply AI-enabled tools (e.g., data analytics, automation, or Copilot-based solutions) to improve system-level validation, failure analysis, and engineering productivity. On occasion, you may need to carry out these responsibilities at the customer site. We will work with colleagues in the Systems Compatibility Group, in Application Engineering Groups, Product Engineering, Return Material Authorization (RMA), and throughout Micron! Education: Bachelor’s Degree in Electrical Engineering, related field of study, or equivalent experience Successful candidates for this position will have: Familiarity with DRAM and System operations Good understanding system level debug Good multi-tasking, teamwork and problem solving skills Strong verbal and written communication skills in English Preferred Skills and Experience with: Application engineering or design experience related to memory testing and

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Team: Plaid is becoming an AI-first company, and AI Tooling is being built from the ground up to extend AI-native tooling to non-engineers at Plaid. Tools built for engineers assume things non-engineers don't have: local toolchains, monorepos, engineer credentials, PR-based workflows. That mismatch means Ops, Support, and other teams can't easily inherit what we build for engineering. They need their own path and we're building that path. Role: As a Senior Software Engineer on AI Tooling, you will build and operate internal systems that empower non engineering teams to automate their workflows with AI. You will own the product and platform layer for internal tools, including the constraints and infrastructure that keep those tools safe and maintainable. There's no existing playbook for this at Plaid. You will define what the right non-eng AI surface looks like, ship its first durable versions, and partner closely with internal users to make sure it solves real problems. You will act as the engineering point of contact embedded with non-engineering teams, running discovery and translating their operational needs into shipped software. What you build here becomes how non-engineering

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. Job Summary As an MTS Design Verification Engineer, you will serve as a technical leader driving innovation in DRAM verification for advanced memory products. This role focuses on leading design and verification strategy, influencing key technical decisions, and ensuring high-quality, functionally correct, and scalable memory solutions. You will collaborate with global teams, guide methodology improvements, mentor engineers, and act as a domain expert to support next-generation DRAM technologies. Responsibilities Lead DRAM verification innovation, driving key technical decisions, architecture, and strategy during product execution Collaborate with global teams to define and implement best-known methods for verification and product development Drive verification planning, coverage closure, and silicon debugging for advanced DRAM products Evaluate and implement new tools, methodologies, and flows to improve verification efficiency and quality Mentor engineers and provide technical leadership while contributing expert guidance to senior leadership teams Minimum Qualifications Bachelor’s degree in Electrical Engineering, Computer Engineering, or related field 8+ years of experience in DRAM/memory or advanced CMOS verification Strong circuit analysis and debug skills at the transistor level — able to root-cause behavior, not only at the testbench level Experience with simulation tools such as HSPICE, Finesim, Verilog, or SystemVe

About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineeriIng teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Enterprise Applied AI Engineer you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role is based in our SF or NYC office. 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 will: Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteri

About the team The Applied AI Engineering team is responsible for ensuring the safe and effective deployment of generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our API customers, working to build an effective backlog of frontier AI use cases for their industry and drive them to production through strong technical guidance. As an Applied AI Engineer in the Digital Native segment, you’ll work with industry-leading technology companies like Stripe, Uber, and Reddit to bring new AI capabilities into the products their customers use every day. You’ll partner directly with experienced product and engineering teams to turn frontier model capabilities into new features and agentic experiences. The work combines rapid experimentation with the demands of established products: complex systems, real users, and high expectations for quality and performance. Lessons from these deployments inform OpenAI’s product and research teams. About the role You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact – not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role is based in our SF or Seattle office. 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 will: Deeply embed with our most sophisticated and technical platform customers,

About the Team The Applied AI Engineering team is responsible for helping developers and enterprises safely and effectively deploy OpenAI technologies in production. We act as trusted technical advisors and thought partners for customers, working side by side with their teams to identify high-value use cases, design practical architectures, and move from prototype to durable deployment. Cybersecurity is one of the most urgent domains where AI can help. Security teams are under pressure to reason across code, logs, infrastructure, tickets, alerts, and vulnerability data faster than ever. As frontier models become more capable, organizations need deep technical guidance on how to evaluate, validate, and safely deploy AI systems in security-critical workflows. About the Role We are looking for a Cybersecurity Applied AI Engineer to partner with customers and help them apply OpenAI models, APIs, Codex, and agentic workflows to real cybersecurity use cases. You will work with CISOs, security executives, application security leaders, SOC teams, security engineering teams, and hands-on practitioners to identify where AI can create measurable security outcomes. This is a customer-facing technical role for someone who can move fluidly between executive strategy, practitioner-level cyber depth, and hands-on solution design. You will help customers evaluate and deploy workflows such as secure code review, vulnerability triage, threat modeling, remediation, SOC and incident response workflows, detection engineering, cloud security, GRC automation, and security validation. You will collaborate closely with Sales, Solutions Engineering, Product, Engineering, Research, and Security to turn customer needs into safe deployment patterns, reusable field assets, and product feedback. This role is based in our Dublin Office. We offer relocation support to new employees. In this role, you will: Deeply embed with strategic customers as the technical lead for AI-enabled cybersecurity workf

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: As a member of the facility operations team, you will help design, build, activate, and maintain some of the world’s most technically advanced facilities and data centers. You will be able to operate with autonomy to solve diverse and complex problems, excel at managing multiple projects at a time, and work in a dynamic, fast-paced environment. As a Facilities Engineer, you will coordinate and execute infrastructure projects as well as oversee ongoing operations and maintenance of facilities, equipment, and utilities. This will involve corrective, preventive, and predictive maintenance techniques as well as operational and design feedback for maintaining and improving all systems at our Memphis and Southaven sites. RESPONSIBILITIES: Lead internal project teams, consulting engineers and contractors throughout the entirety of the MEP engineering, procurement, construction, commissioning and maintenance process. Provide technical engineering support/information to ensure construction/maintenance complies with all standards, codes, and specifications. Verify maintenance is being completed and coordinate all repair, build, and contingency systems efforts for HVA