Optical Engineer in United States

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We are seeking a highly skilled Physical Design Engineer with deep expertise in physical design and methodology. This individual contributor role sits within our physical design team and is central to delivering power, performance, and area (PPA) optimized datapath and interconnect solutions for next-generation AI accelerators. You’ll work closely with RTL designers to define and execute on physical design strategies. You will develop tools, flows and methodologies to increase team productivity. Your work will directly impact silicon’s performance and cost efficiency, as well as the team’s execution velocity and quality. In this role, you will: Develop, build and own tools, flows and methodologies for physical implementation Own physical implementation of floorplan blocks from floorplanning to final signoff Collaborate with RTL designers to drive optimal block implementation solutions Analyze and optimize design for timing, power, and area trade-offs, working in collaboration with EDA vendors and ASIC partners Qualifications: BS w/ 4+ or MS with 2+ years or PhD with 0-1 year(s) of relevant industry experience in physical design and methodology development Demonstrated success in taping out complex silicon designs Hands-on experience with block physical implementation and PPA convergence Strong coding experience with python, bazel, TCL Strong experience building physical design tools, flows and methodologies Strong understanding of microarchitecture, RTL design,

About the Team The ChatGPT Search Product Infrastructure team builds the foundational systems that power search experiences across ChatGPT. We develop the product infrastructure that connects models with search systems and other sources of real-time information, enabling ChatGPT to deliver timely, relevant, and trustworthy answers to users around the world. Our work sits at the intersection of product engineering, AI, and large-scale infrastructure. We build shared platforms and abstractions that enable product teams to independently develop, evaluate, and launch new search-powered experiences. These platforms provide the guardrails, testing capabilities, observability, and rollout controls needed to prevent reliability, scalability, quality, and latency regressions while supporting rapid product iteration. The team partners closely with: Post-Training on model launches, experimentation, and prompt optimization Search product verticals on new user experiences Inference on GPU efficiencies Indexing and Retrieval on the systems that identify and deliver relevant information Capacity/Fleet team to ensure optimal regionalized provisioning of GPUs and CPUs About the Role We are looking for an Engineering Manager to lead the team responsible for ChatGPT’s Search Product Infrastructure. You will set the technical and organizational direction for the systems that bring search capabilities into ChatGPT. You will guide architectural decisions across search orchestration, model and prompt integration, serving infrastructure, experimentation, observability, evaluation, and product integrations. You will balance immediate launch and product needs with the long-term reliability, scalability, latency, and maintainability of the platform. A central responsibility of this role is creating leverage for Search product verticals. You will lead the development of extensible platforms that allow those teams to independently build, test, and launch features without requiring ongoing invol

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Senior Software Engineer, Capacity Engineering At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic, fast-moving environments and approach challenges with an experimental mindset, rapidly testing emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake’s infrastructure is expanding rapidly across AWS, Azure, and GCP. The Capacity team plays a pivotal role in provisioning the cloud resources essential for Snowflake's operations and ongoing growth. Capacity Engineering accurately models demand, forecasts requirements, and delivers optimal CPU and GPU capacity on schedule. We drive hardware cost-efficiency and price/performance while continually maximizing fleet utilization. To achieve this across all major cloud providers, the team is building a centralized, self-se

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Role Overview: We are seeking a skilled and experienced Senior AI Engineer – AI Platform to join our ClickUp Engineering team. In this role, you will play a critical part in both building the core AI platform and directly applying large language models (LLMs) to deliver intelligent features across ClickUp. You will focus on backend systems that enable scalable, reliable, and secure AI-powered capabilities, while also working hands-on with LLMs to solve real user problems and drive product innovation. Key Responsibilities: Architect, design, and implement scalable AI platform services that support the deployment, orchestration, and lifecycle management of LLMs and other AI models. Apply LLMs and other AI technologies directly to build and enhance ClickUp’s intelligent features, working closely with product and engineering teams to deliver impactful solutions. Build and maintain robust APIs and backend systems that enable seamless integration of AI-powered features into ClickUp’s core platform. Develop infrastructure for model serving, monitoring, logging, and automated evaluation to ensure high reliability and performance of AI services in production. Integrate with multiple LLM providers (e.g., OpenAI, Anthropic, Google) and manage model selection, routing, and fallback strategies for optimal performance and cost. Drive the adoption of best practices in AI privacy, security, and compliance, including data anonymization, secure data handling, and regulatory adherence. Optimize platform performance, scalability, and cost-efficiency, leveraging cloud-native technologies and distributed systems. Stay curre

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Role Overview: We are seeking a highly skilled Staff AI Engineer – AI Platform to join our ClickUp Engineering team. In this role, you will play a critical part in both building the core AI platform and directly applying large language models (LLMs) to deliver intelligent features across ClickUp. You will focus on backend systems that enable scalable, reliable, and secure AI-powered capabilities, while also working hands-on with LLMs to solve real user problems and drive product innovation. Key Responsibilities: Architect, design, and implement scalable AI platform services that support the deployment, orchestration, and lifecycle management of LLMs and other AI models. Apply LLMs and other AI technologies directly to build and enhance ClickUp’s intelligent features, working closely with product and engineering teams to deliver impactful solutions. Build and maintain robust APIs and backend systems that enable seamless integration of AI-powered features into ClickUp’s core platform. Develop infrastructure for model serving, monitoring, logging, and automated evaluation to ensure high reliability and performance of AI services in production. Integrate with multiple LLM providers (e.g., OpenAI, Anthropic, Google) and manage model selection, routing, and fallback strategies for optimal performance and cost. Drive the adoption of best practices in AI privacy, security, and compliance, including data anonymization, secure data handling, and regulatory adherence. Optimize platform performance, scalability, and cost-efficiency, leveraging cloud-native technologies and distributed systems. Stay current with ad

Job Details: Job Description: Intel is shaping the future of technology to help create a better future for the entire world. Our work in pushing forward fields like AI, analytics, and cloud-to-edge technology is at the heart of countless innovations. With a career at Intel, you'll have the opportunity to use technology to power major breakthroughs and create enhancements that improve our everyday quality of life. Join us and help make the future more wonderful for everyone. Want to learn more? Visit our YouTube Channel or the link below. Life at Intel The Role and Impact As a SoC Power Thermal Performance Validation and Optimization Engineer, you will play an essential role in ensuring Intel's products achieve optimal power, thermal, and performance benchmarks at the system-on-chip (SoC) level. In this position, you will develop and execute validation methodologies, optimize hardware/software solutions, and perform SoC-level debugging to address power, thermal, and performance challenges. Your contribution will directly impact Intel's ability to deliver competitive, high-performing products to market. Business Group This role is part of Intel's Data Center Group (DCG), which focuses on designing innovative solutions to power the next generation of computing platforms for data centers. As a member of the PTP PreSi Correlation Solution team, you will contribute to shaping the development and validation processes for cutting-edge technologies, ensuring Intel meets and exceeds industry standards for performance and efficiency. Key Responsibilities: Develop and execute SoC-level power, thermal, and performance validation and

About the Team OpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI’s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI. About the Role As an Engineer on our hardware optimization and co-design team, you will co-design future hardware from different vendors for programmability and performance. You will work with our kernel, compiler and machine learning engineers to understand their unique needs related to ML techniques, algorithms, numerical approximations, programming expressivity, and compiler optimizations. You will evangelize these constraints with various vendors to develop and influence future hardware architectures towards efficient training and inference on our models. If you are excited about efficiently distributing a large language model across devices, dealing with and optimizing system-wide/rack-wide networking bottlenecks and eventually tailoring the compute pipe and memory hierarchy of the hardware platform, simulating workloads at different abstractions and working closely with our partners, this is the perfect opportunity! 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. Key Responsibilities Co-design future hardware for programmability and performance with our hardware vendors Assist hardware vendors in developing optimal kernels and add support for it in our compiler Develop performance estimates for critical kernels for different hardware configurations and drive decisions on compute core and memory h

Strength in Trust OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. The Challenge As Senior Manager, Data Engineering and Platform you will be a people leader of a team of Data Engineers responsible for creating platform and data engineering architecture for business intelligence and data science solutions. This role will have a substantial focus on coaching and people management alongside a strong individual contributor component in hands-on data engineering. Your Mission You will work closely with other team members like data architects and business analysts to understand what the business is trying to achieve, move data from source to target, and design optimal data models. Develop and adhere to standard methodologies: platform architecture, data engineering, data quality, analysis, validation to ensure the team provides quality work to company and build trust with analytics solutions. Propose and socialize data architecture to enable OneTrust business analytics. Drive technical conversations with stakeholders to explore all facets of problem and solution. Solve immediate production issues with an eye to solve things for long-t

About DevRev At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. About the team The Applied AI Engineering team ensures our customers get the optimal experience from DevRev. As customers go through their DevRev journey, they may identify needs for integration with existing enterprise systems and services, workflow and process automation, or customization of the DevRev platform to achieve their business objectives. Our team works with customers to understand requirements and design, develop, and implement solutions to meet customer goals. Your mission is to systematically help customers find value with DevRev by developing a thorough understanding of their needs, owning coordination between internal and external stakeholders, and engineering the solution to get the job done. You are a product expert and will use your application development and AI/ML skills to ensure our customers get the most out of the DevRev platform. About the role As a Forward Deployed Architect, you will serve as a hands-on senior technical architect on the Applied AI Engineering team, owning the end-to-end design and delivery of AI-driven business transformation projects. You will work closely with pre-sales teams to scope technical integration and implementation strategies, translating business requirement

Job Details: Job Description: Intel Corporation is the world's largest semiconductor company and a global leader in computing innovation. Our Quantum Computing Group represents Intel's bold venture into the next frontier of computing technology, leveraging our decades of semiconductor manufacturing expertise to develop silicon-based quantum processors. We're pioneering spin qubit technology in silicon quantum dots, combining cutting-edge quantum physics with Intel's unmatched manufacturing capabilities to create the world's first commercially viable quantum computers. Our collaborative approach spans Intel's research divisions and partnerships with leading academic institutions worldwide. We are seeking an exceptional Quantum Packaging Modeling Engineer to join our pioneering quantum computing team in Oregon. In this role you will be responsible for thermal modeling and simulation of various packaging solutions from silicon redistribution layers to IC substrates within a multidisciplinary team. You'll play a crucial role in advancing Intel's silicon quantum dot technology while contributing to the development of scalable quantum systems that will revolutionize computing. Key Responsibilities - Thermal modeling and simulation of packaging hardware to understand how heat flows from silicon test chips through various heat spreader hardware - Manage the overall integration of the packaging hardware and enable co-design between relevant stakeholders - Work closely with mechanical designers to define heat spreaders for optimal performance - Deliver and disseminate design milestones to stakeholders - Communicate designs in presentations and relevant documentation - Stay current with the latest developments in packaging technology and design techniques by attending conferences and rea

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Airbnb, a leader in travel and hospitality, is on a mission to create a world where anyone can belong anywhere. We offer unique accommodations and experiences, crafted and curated by locals. As we expand into new marketplaces for in-person experiences and services, we are on the lookout for driven and innovative individuals to help shape our growth trajectory. The Difference You Will Make: Airbnb is seeking a Staff, Advanced Analytics, to support our Guest App team. This individual will act as a senior thought partner, supporting strategic business and product initiatives through detailed data analysis, experimentation, statistical modeling, and the development of reporting tools and metrics. The individual will be instrumental in driving product decisions for the Guest App, especially for strategically important Promotional Merchandising initiatives, to optimize for the company's objectives and ensure optimal experiences for guests. A Typical Day: Be the Advanced Analytics owner and expert on domain datasets. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches. Apply technical expertise with quantitative analysis, experimentation, data mining, forecasting and the presentation of data to identify trends and patterns that can inform decision-making. Collaborate closely with Product, Engineering, Finance, Marketing, Operations, Data Science, Advanced Analytics, Data and Analytical Engineering, and other cross-functional teams to provide actionable insights. Design, execute, and analyze experime

Work Flexibility: Hybrid What you will do - As a Supply Planner, you will develop and maintain end-to-end supply plans for assigned manufacturing sites and third-party suppliers within your franchise. You will partner closely with Production, Procurement, Finance, Integrated Business Planning (IBP), Customer Service, and site leadership to ensure a balanced, data-driven approach to supply planning. You will play a key role in aligning supply, capacity, inventory, and demand strategies to support business objectives, service requirements, and long-term growth. Working cross-functionally with Operations, Engineering, Quality, and divisional teams, you will help ensure the right product is available at the right place and time while optimizing inventory and resource utilization. Create a Master Resource Plan based on the latest demand signal to cover what needs to be produced or purchased as a finished product and ensure that within the process there is sufficient raw materials and components to support the required supply plan up to 24 months’ time horizon Create capacity plans based on the latest demand signal and identify where there is any potential bottlenecks or risks to supply and to develop and recommend appropriate proposals to mitigate and to ensure that the plant or 3rd party can meet the future demand Identify where there is significant underutilization which could impact the costs of supply Develop a supply plan across a complex portfolio and multiple sites if required as franchise maturity develops Work on capability building as part of cross functional teams and add expertise in creating the optimal solutions Set the correct levels of inventory within the supply plan by understanding the demand volatility and supply chain lead times Create a safety stock strategy and plan that enables cont

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Difference You Will Make: We're looking for a thoughtful, analytically rigorous, and strategically minded finance professional to partner with our Community Support leadership team. This role sits at the intersection of strategy, product, and operations: evaluating the impact of what we build, shaping the Airbnb customer experience, and connecting Community Support initiatives to Airbnb's broader company priorities. You'll be a trusted advisor to leadership and a key voice in cross-functional conversations across Product, Engineering, Finance, and Operations, working on some of the most consequential technology and investment decisions at Airbnb. A Typical Day: Build frameworks to measure ROI and cost-effectiveness of technology deployed within Customer Support, surfacing where investments are working and where spend should be reallocated Develop financial analyses evaluating AI initiatives, differentiated Customer Support models, unit economics, customer retention, and contribution margin Provide financial analysis and deal support for negotiations with operations partners to secure optimal pricing and contract terms Ensure Customer Support proactively and efficiently supports new business initiatives such as Hotels on Airbnb, Experiences, and other partnerships Monitor Customer Support industry trends and emerging technologies, including AI in customer service, to identify risks and opportunities Own core financial planning for CS, including forecast accuracy, the annual planning process, and long range planning Your Expertise: 9+ years in strategic finance, investment banking, or management consult

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The Field Service Technician provides on-site technical support to CVS Pharmacy locations, traveling between stores to maintain and repair computer systems, hardware, and store technology. This role supports point-of-sale (POS), pharmacy systems, networking equipment, and other in-store technologies. The technician diagnoses and resolves technical issues, performs preventative maintenance, and ensures minimal disruption to store operations. This position works closely with remote support teams such as network services, software engineering, and help desk personnel to restore service and identify root causes of issues. The Field Service Technician maintains accurate service records and ensures timely resolution of all assigned work while delivering excellent in-store customer support. What You Will Do Travel between assigned CVS Pharmacy locations to provide on-site technical support and maintenance. Deliver hands-on support for store systems, including POS systems, pharmacy systems, photo kiosks, and inventory management systems. Perform preventative maintenance, software updates, hardware upgrades, and equipment replacements to ensure optimal system performance with minimal supervision. Install and integrate new technology in stores, including setup and configuration of POS terminals, peripherals, and network connectivity. <

Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72&#43; million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact. A Day in the Life We are looking for a Production Planner that combines analytical thinking, organization, problem-solving, communication and proactive leadership to ensure the right product is made at the right time with the right resources. Responsibilities may include the following and other duties may be assigned. Plans, prepares, issues, and controls production schedules and directs material requirements to ensure a controlled flow of raw and approved finished goods materials timed to meet production requirements. Advises management of the status of work in progress, material availability, inventory levels, and potential production or material supply disruptions to ensure that personnel, equipment, materials, and services are provided on-time and at an optimal cost. Schedules equipment and personnel, confirms material supply and demands, prepares work orders or purchase requests for the production or purchase of components or parts based on a master production schedule, shop load, and inventory requirements. Coordinates interdepartmental activity with quality assurance, manufacturing, purchasing, engineering, inventory control, traffic, demand planning, etc.; schedules and expedites the movement of parts by means of move orders, stock transfers, and requests for shipping orders. Required Knowledge and Experi