Artificial Intelligence Research Intern Jobs

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 Summary: As a Principal Engineer/MTS (Member of Technical Staff), you will join a groundbreaking Next Generation NAND research and development Dry Etch team working on critical modules listed below. This role offers many opportunities for innovation, collaboration, and expanding capabilities with Next Generation NAND. You will collaborate closely with process integration and other areas such as Wet Etch, CVD, Diffusion, Metals, Lithography, and CMP. You will manage powerful dry etch chambers and lead the process roadmap to achieve program and yield targets. Your responsibilities include, but are not limited to: Main Responsibilities: Leading innovation in Dry Etch technology and essential module advancement Develop and innovate dry etch processes to meet structural and electrical specifications. Work together with hardware teams to develop the equipment roadmap for the current and upcoming generation of NAND products. Show expertise in dry etch technology fundamentals and possess a mechanistic understanding of how process parameters affect out

Join us at the forefront of AI compiler technology and help shape the future of accelerated computing. NVIDIA is seeking passionate engineers to build the next generation of tools used by AI developers and researchers worldwide. Our team is developing Thunder , an ambitious, source-to-source compiler built to unlock outstanding performance for PyTorch models on NVIDIA GPUs. This is a unique opportunity to contribute to a project that enhances the PyTorch ecosystem, working with modern compiler stacks like PyTorch 2.0's TorchDynamo and TorchInductor to create powerful, open-source solutions that benefit the entire community. If you are driven to solve complex problems and want to make a foundational impact on the AI ecosystem, apply to join our collaborative and innovative team. What you'll be doing: As a key member of our team, you will be contributing directly to the future of accelerated AI. Your role will be dynamic and deeply technical, placing you at the center of compiler innovation. You will lead the design, implementation, optimization, and maintenance of the core compiler technologies that accelerate massive deep learning workloads. This is a highly collaborative role where you'll work alongside the very engineers who built PyTorch for NVIDIA hardware, helping to pioneer new features and stay at the forefront of framework development. You'll dive deep into performance analysis, scrutinizing workloads running on thousands of GPUs to find optimization opportunities that will shape the future design of Thunder. Furthermore, you will be part of a vibrant ecosystem, working closely with leading compiler, library, and systems teams—including experts behind nvFuser, TVM, XLA, and CUDA—to translate the latest research into practical, high-impact solutions for the open-source community. What we need to see: We are look

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. Responsibilities Module Ownership: Lead one or more process modules related to the development and operation of 3D NAND semiconductor coordinated circuits. Specification Definition: Define structural specifications and process requirements for assigned modules. Strategic Direction: Set a clear direction and vision for the module and establish a continual improvement plan. Proactive Issue Resolution: Identify potential structure, electrical, and reliability issues early and address them with process control. Solve problems using a model-based approach. Performance Optimization: Focus on structural development, electrical performance, parametric verification, and process control. Optimize manufacturability assessments. Material Innovation: Analyze materials physically and electrically. Collaborate with process groups to select new materials for development and transition them from research to production. Build Experiments: Build and complete device and process experiments. Extract, analyze, report, and draw conclusions on experiments and clarify the statistical significance of the data. Team Leadership: Assemble and coordinate a development team, including process engineers, to drive module development. Decision-Making & Goa

NVIDIA is seeking a Senior Software Engineer to help us develop distributed storage services for AI/ML. In this role you will work closely with the broader NVIDIA team to design and build a reliable, scalable, and efficient storage-as-a-service tailored to AI applications that can be deployed anywhere and scale without limitations. This service supports the whole NVIDIA critical business from graphics drivers to autonomous vehicles to deep learning frameworks. To achieve this goal, we are looking for an engineer with a deep understanding of distributed systems, outstanding design skills, and a track record in building and delivering large-scale distributed services. What you will be doing: Leading the overall architecture and design of our distributed storage service optimized for AI/ML Develop and maintain distributed, robust and scalable Go programs deployed to state of the art open-source ecosystems, including Kubernetes. Develop and maintain user-space applications, containers, Go-bindings, and CLI tools. Building features for a distributed storage service to enhance availability and reliability for large-scale deployments Engaging and collaborating with NVIDIA Research, Computing, Product teams, cross-functional teams, and external customers to deliver Cloud services. Automating distributed storage service end-to-end, including deployment, management, and monitoring What we need to see: Bachelor’s of Science in Computer Science, or related field (or equivalent experience) with 8+ years of industry experience Strong background in developing distributed systems involving Golang, Kubernetes, and Cloud Service Provider integrations Strong track record of delivering distributed services in a variety of distributed computing environments Experience in i

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. A CAD Engineer is a development/support role focusing on semi-conductor/EDA design flows/tools. At Micron Technology, Inc., you will be working in a fast-paced, collaborative, production support role evaluating, developing, improving, and debugging both in-house and commercial EDA tools and flows for the design, physical layout, and verification of CMOS integrated circuits. Responsibilities and Tasks include, but not limited to: Serves as a subject matter of expert within a technical discipline Defines and leads large projects Provide input to team members and managers on technical or innovation Guide the AI/LLM implementation on CAD flows Providing training, documentation, and support to end-users on new tools and methods Collaborating closely with design and process teams Develop and apply CAD software engineering methods, theories, and research techniques in suppor

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in Paris. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own technical delivery across multiple deployments from first prototype to stable production Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Scope work, sequence delivery, and remove blockers early Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow-through You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work Have scoped and delivered complex systems in fast-moving or ambiguous environments Write and review production-grade code across frontend and backend using Python, JavaScript, or comp

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in Zurich. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own technical delivery across multiple deployments from first prototype to stable production Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Scope work, sequence delivery, and remove blockers early Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow-through You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work Have scoped and delivered complex systems in fast-moving or ambiguous environments Write and review production-grade code across frontend and backend using Python, JavaScript, or com

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in Munich. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own technical delivery across multiple deployments from first prototype to stable production Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Scope work, sequence delivery, and remove blockers early Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow-through You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work Have scoped and delivered complex systems in fast-moving or ambiguous environments Write and review production-grade code across frontend and backend using Python, JavaScript, or com

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. • Leverage AI and advanced analytics tools to identify process variation, uncover hidden KPIVs, and accelerate root cause analysis. • Develop and deploy AI-assisted monitoring, anomaly detection, and predictive models to improve process stability, yield, and equipment performance. • Utilize digital solutions (Copilot, Power BI, AI Agents, dashboards, etc.) to automate routine engineering analysis, reporting, and decision-making workflows. • Drive data-driven process optimization through machine learning, pattern recognition, and large-scale manufacturing data analysis. • Partner with Automation, IT, and Data Science teams to implement smart manufacturing solutions and AI-enabled process control methodologies. • Establish and maintain digital twins, predictive maintenance models, and AI-based early warning systems for process and equipment health monitoring. • Identify opportunities to reduce engineering cycle time through AI-assisted experiment design, data mining, and knowledge management platforms. • Lead AI adoption initiatives within the manufacturing organization to improve productivity, quality, cost, and operational efficiency. AI in Job Requirements: •Baseline digital fluency, with the ability to use AI-assisted tools to support research, analysis, content creation, problem-solving, or operational tasks relevant to the role. Basic Qualifications M

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. • Leverage AI and advanced analytics tools to identify process variation, uncover hidden KPIVs, and accelerate root cause analysis. • Develop and deploy AI-assisted monitoring, anomaly detection, and predictive models to improve process stability, yield, and equipment performance. • Utilize digital solutions (Copilot, Power BI, AI Agents, dashboards, etc.) to automate routine engineering analysis, reporting, and decision-making workflows. • Drive data-driven process optimization through machine learning, pattern recognition, and large-scale manufacturing data analysis. • Partner with Automation, IT, and Data Science teams to implement smart manufacturing solutions and AI-enabled process control methodologies. • Establish and maintain digital twins, predictive maintenance models, and AI-based early warning systems for process and equipment health monitoring. • Identify opportunities to reduce engineering cycle time through AI-assisted experiment design, data mining, and knowledge management platforms. • Lead AI adoption initiatives within the manufacturing organization to improve productivity, quality, cost, and operational efficiency. AI in Job Requirements: •Baseline digital fluency, with the ability to use AI-assisted tools to support research, analysis, content creation, problem-solving, or operational tasks relevant to the role. Basic Qualifications M

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Marketplace team at Lyft is responsible for accelerating the growth of the business and for delivering our top business/company goals around financial metrics and marketplace performance. The team provides analysis and use cases to support Product teams, build automated tooling, and manage growth investments. We are looking for an analyst to join the Central Market Management team and help us grow our market share. You will work with cross-functional stakeholders to analyze and improve existing product and financial levers leveraged in the marketplace. You will influence growth strategy with your data analysis and competitive insights while getting a ton of executive exposure along the way. We’re looking for an intellectually curious individual who has extraordinary attention to detail, a track record of analytical problem-solving and skilled communication. Responsibilities: Support marketplace operations to provide world-class analysis, forecasting and reporting to stakeholders. Become an expert in marketplace trends and support weekly reporting structures for the Rideshare organization. Develop domain-specific subject matter expertise in our lever portfolio and support cross-functional initiatives to improve existing products and develop new ones. Analyze marketplace product & financial levers and provide cross-functional teams with actionable insights on improvements and problem areas. Operate within Rideshare decision-making frameworks with a critical lens, evaluating areas of improvement and business growth opportunities. Prepare regular business reviews for leadership, highlighting key areas of focus. Work with stakeholders and other teams to track, report, and reconcile budget allocation across marketplace programs. Analyze data, conduct research and synthesize feedba

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The role Okta enables universal, secure access to technology for every user and organization. Okta Customer Identity (OCI) is the identity platform behind that promise for the applications our customers build for their own customers: the login, MFA, and account management layer for millions of end users across B2B, B2B2C and B2C products. OCI sits alongside Okta Workforce Identity (OWI) as one of the two halves of the Okta platform. We're hiring a Senior Product Manager to grow OCI's footprint inside our existing enterprise base and to incubate the next generation of platform capabilities. This is a builder's role. You'll spend a good chunk of your time in true zero-to-one territory: sizing a raw opportunity, proving it out with a design partner or two, and turning it into a capability that ships and gets adopted. You'll spend the rest of it as the connective tissue across engineering, design, research, and go-to-market, making sure those bets land in the field. What you will own New Capability Incubation: Own the pipeline of zero-to-one bets on the Okta’s Okta Customer Identity platform, from a rough problem statement through a validated design and a shipped v1. You'll decide what's worth building before anyone asks engineering to build it. Platform Growth: Drive the product side of Okta Customer Identity platform expansion into our existing enterprise base. You'll turn a hypothesis about why they haven't adopted the Okta Customer Identity platform into pr

We are looking for a talented Senior System Software Engineer to help build NVIDIA Halos, our full-stack safety critical platform for physical AI: autonomous vehicles, humanoids, industrial robots, and intelligent machines that sense, decide, and act in the real world. This role is equally grounded in ISO 26262 functional safety engineering and embedded systems, rich operating systems, virtualization, accelerated computing. If you have a good understanding of System Software development on Real Time OS (RTOS), ARM architecture, Virtualization, and experience with ISO 26262 safety lifecycle, we want to hear from you! We are a leading artificial intelligence computing company and are paving the way with innovations in gaming, visualization, supercomputing, and autonomous vehicle and robotics safety platforms. NVIDIA gives automakers, tier-1 suppliers, automotive research institutions, and startups the power and flexibility to develop and deploy breakthrough artificial intelligence systems for autonomous vehicles. Our unified computing architecture makes it possible to train deep neural networks in the data center on the NVIDIA DGX™, and then seamlessly run them on NVIDIA's Halos platform inside the vehicle. Leading vehicle manufacturers, tier 1 suppliers, mapping and simulation companies, software and sensor providers, and startups around the world are developing on the NVIDIA Halos® platform to deliver the best solutions for the new world of mobility. As a System Software Engineer, you will get an opportunity to work on high-performance NVIDIA edge AI platforms running complex mixed-criticality software stacks across QNX, Linux, hypervisors, safety partitions, accelerators, and real-time AI workloads, and work alongside industry experts in diverse teams and projects. <

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in London. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own technical delivery across multiple deployments from first prototype to stable production Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Scope work, sequence delivery, and remove blockers early Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow-through You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work Have scoped and delivered complex systems in fast-moving or ambiguous environments Write and review production-grade code across frontend and backend using Python, JavaScript, or com

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 Our Team as a STAFF ENGINEER, TDT PD CMP At Micron, we are driven by the pursuit of excellence and innovation. As a Chemical Mechanical Planarization (CMP) Process Development Engineer, you will play a key role on our Technology Development Taiwan (TDT) CMP team. You will contribute to the progress of our innovative DRAM technology. If you have a passion for semiconductor development and enjoy working in a dynamic and collaborative environment, we invite you to join us in defining the future of the semiconductor industry! Key Responsibilities Develop and refine CMP processes to support advanced DRAM technology acceleration. Collaborate with diverse teams to develop new outstanding semiconductor devices. Perform rigorous process characterization, develop new consumables, and evaluate new hardware. Conduct groundbreaking research and innovate to contribute to Micron’s extensive patent portfolio. Drive continuous process and efficiency improvements to meet yield, quality, and cycle time requirements. Direct and manage CMP consumables and equipment suppliers. Plan and complete well-designed experiments, presenting results in clear and concise reports. Minimum Qualifications Proficiency in both Chinese and English languages. Expertise in CMP process development. Hands-on experience with CMP polishing equipment, including familiarity with equipment operation, optical metrology, profilometry, common polishing