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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. As a Design Validation Product Engineer on High Bandwidth Memory (HBM) technology you will be tasked with developing next-generation HBM products. Product Engineers are a key interface between Design, Manufacturing, Test, and Quality internal departments as well as external customers. We take ownership of HBM products; starting at the Design phase, through initial bring-up, qualification, and into volume production. The seniority level offered will be based on a combination of experience and education. In HBM HIG or equivalent experience (High Bandwidth Memory, Heterogeneous Integration Group), we innovate and integrate end-to-end groundbreaking front-end and backend processes with groundbreaking design, debugging various tests, and qualification techniques to develop the lowest power per bit solutions to improve customer experience in the field of ML (Machine Learning) and AI. The success of a sophisticated product such as HBM relies vastly on vertical integration and the various engineering working in unison. To provide greater detail, our HBM technology pertains to stacking numbers of DRAM chips along with a logic chip within one package through an assembly technology called TSV (Through Silicon Via). This greatly increases the memory density in a package, while allowing very high-speed signal transmission. Furthermore, "high bandwidth"; is an outstanding memory design area where custom gate-level design and RTL style logic design are blended into the same product, and most of the DDR or LPDDR design is based on the gate-level design onl

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: Every gigabyte Micron ship is trusted to hold someone's data for years, whether in a phone, a car, a data center or an AI cluster. The NAND Product Reliability Architecture (NRA) team defines how we prove that trust before a product is released. As a Staff Engineer in NAND Product Reliability Architecture team, you will own the reliability architecture for Micron's newest NAND products end-to-end: interpreting reliability requirements, architecting qualification and stress strategies, developing and integrating reliability algorithms and system features, and optimizing coverage, sampling and test time so that we qualify faster without compromising quality. This is a high-leverage, high-visibility role. Your architecture decisions directly influence qualification cycle time, product time to market and the reliability our customers experience in the field. In a market where being first to qualify is a competitive advantage, speed is a core expectation. You will work closely with Technology Development, System Architecture, Design Engineering, Product Engineering, Manufacturing and Quality, and you will be expected to influence across these teams. Main Responsibilities: Comprehend NAND reliability specifications

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’re part of a team that enables advanced semiconductor design through innovative CAD and EDA solutions. Our work sits at the intersection of design automation, software engineering, and AI, helping engineering teams move faster, solve complex challenges, and deliver high-quality products. If you enjoy tackling technical problems and improving the tools that power chip development, this is an exciting opportunity to make a meaningful impact. As a CAD Engineer, you will support and enhance semiconductor design flows, EDA tools, and automation solutions used across integrated circuit development. This role combines software development, technical leadership, and AI-driven innovation to improve engineering productivity and design quality. You will collaborate closely with design, process, and CAD teams while helping shape the next generation of design methodologies. Responsibilities: Lead complex CAD and EDA tool development, enhancement, and support projects Drive AI and machine learning adoption within CAD workflows and engineering processes Develop, debug, and improve design, layout, simulation, and verification tools and flows Partner with design and process engineering teams to optimize semiconductor development methodologies Provide technical guidance, training, and documentation for new tools and capabilities Minimum Qualifications: Bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering, or a related field 5&#4

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 distributed systems engineers and product-minded generalists to build the distributed runtime that powers large-scale LLM inference on Baseten. Our inference platform empowers customers to deploy and operate cutting-edge models with industry-leading performance, scalability, and reliability. It also powers Model APIs, our hosted endpoints for the latest open-source models. You'll work across the stack, from the developer experience customers use to deploy models, through the libraries behind features like tool calling and reasoning, down to the systems that orchestrate deployments on Kubernetes and route traffic efficiently. Your job is to make sure every model on our platform is fast, reliable, and cost-efficient. You'll join a small, high-impact team at the intersection of distributed systems, model performance, infrastructure, and product, helping define how developers use AI models at scale. This role is ideal for engineers who enjoy owning systems in production, solving hard integration problems, and making complex infrastructure simple and reliable for users. EXAMPLE INITIATIVES You'll get to work on these types of projects on our Inference Platform: The Baseten Inference Stack at NVIDIA Dynamo Day 2x faster inference with KV cache-aware routing How Baseten multi-cloud capacity management (MCM) unifies deployments RESPONSIBILITIES Build the infrastructure and orchestration systems that de

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 inference performance engineers who want to make the world's most demanding AI workloads run faster and more efficiently. You'll work across the stack, from the inference engine and runtime through scheduling, serving, and routing. Along the way you'll apply techniques like prefill/decode disaggregation, speculative decoding, and KV-cache management. You'll reason from first principles about where time and memory go, find what's holding performance back, and close the gap. Your work directly impacts how fast our customers' models run and how efficiently we serve them. This role is ideal for someone who thrives in a fast-paced startup environment and is eager to make significant contributions to the exciting field of LLM inference. EXAMPLE INITIATIVES You'll get to work on these types of projects as an Inference Performance engineer: Agentic Kernels in Production How we built the new fastest API for GLM-5.2 Live draft model training for speculative decoding Making Kimi K3 Tokenization 18x faster The Baseten Inference Stack Driving model performance optimization RESPONSIBILITIES Implement and productionize cutting-edge inference techniques, working deep in runtime internals. That includes quantization, speculative decoding, KV-cache reuse, chunked prefill, LoRA, guided generation for structured outputs, and custom scheduling and routing algorithms. Profile and optimize inference end to end, from

About Zoox Zoox is an autonomous ridehailing company building the world's first purpose-built robotaxi — fully electric, bidirectional, with no steering wheel or driver's seat. Backed by Amazon and founded to make transportation safer, cleaner, and more accessible, Zoox designs its vehicles entirely around the rider. We're currently operating in Las Vegas and San Francisco, with Austin and Miami on the horizon, and testing underway across seven U.S. markets. About Our Contract Student Worker Program Zoox's contract student worker program puts you at the center of one of the most ambitious challenges in transportation. You'll contribute to real projects, work alongside engineers and researchers pushing the boundaries of autonomous technology, and gain experience that goes well beyond the classroom. We're looking for students who bring strong academic foundations, curiosity that doesn't stop at coursework, and a drive to be part of something that matters. Role Overview The Automated Validation & Gating Pipeline Engineer will focus on building, maintaining, and scaling robust automated validation and gating pipelines for off-board software, maps, and framework components across our autonomous driving platforms. Responsibilities Design, develop, and maintain continuous automated validation and release gating pipelines for off-board mapping and cloud software components. Define and implement automated test strategies, metrics, and quality gates for component-level and framework-level validation. Triage build or pipeline failures, establish regression test suites, and collaborate with downstream teams (e.g., SIV) to streamline release readiness. Strong analytical skills with the capability to analyze large sets of data. Experience designing triage logic and processes, as well as highlighting and reporting key issues. Required Qualifications Strong software engineering background with

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: You will lead a team of AI Tutors (full-time employees and contractors) responsible for delivering high-quality training data and evaluations that power SpaceXSI's models. You will set the standard for data quality on your projects, review work in the domain, ensure the accuracy and consistency of the data produced, and build operational excellence at the team level. This is a hands-on leadership role — you will both execute labeling/review work and continuously improve processes as we scale. RESPONSIBILITIES: Own end-to-end quality and delivery for assigned Human Data projects — personally reviewing work in the domain, ensuring accuracy, consistency, guideline adherence, and high-quality data production at scale. Lead, coach, and performance-manage a team of AI Tutors, including conducting regular performance reviews, maintaining records, creating action plans, managing shadow sessions, and driving continuous improvement. Oversee and actively participate in labeling and reviewing tasks to maintain high standards and model best practices. Ensure strict guideline adherence, taxonomy management, and quality assurance processes. Drive efficiency by identifying and r

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! The AI Research team at Figma is working on the cutting edge of AI and Design. We work on optimizing agentic systems for design quality and end user experience. We build robust evaluators for Design and post-train models. We are a very collaborative, close-knit and impact-focused team of researchers and research engineers working on some of the most challenging technical problems at the intersection of AI and creativity. We are seeking PhD interns with expertise in machine learning and artificial intelligence to develop innovative AI solutions for design and creative products. Through both fundamental and applied research, your work will contribute to new AI-driven features in Figma products. This internship can take place in Winter 2027 or Summer 2027 in San Francisco or New York. What you’ll do at Figma: Drive fundamental and applied research in Generative AI with Figma product use cases in mind Formulate and implement new modeling approaches both to improve the effectiveness of Figma’s current AI models as well as enable the launch of entirely new AI-powered product features Explore the boundaries of what is possible with the current technology set and experiment with novel ideas Depending on your project, you may have the opportunity to publish your research in leading AI/ML conferences We'd love to hear from you if you have: Are a 4th or 5th year senior Ph.D student in AI, Machine Learning, Computer Vision, Natural Language Processing, Human Computer Interaction or a related field Pro

At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI , Uber , Spotify , Instacart , Cruise , and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the Role Anyscale's security and compliance needs are growing as we work with larger and more demanding customers. Compliance is increasingly a customer-facing, contractual function rather than an internal exercise, and we are looking for someone to own it. This role owns that function end to end: our audits, our evidence base, our risk register, and the security diligence that customers put us through before and during a contract. You will work directly with the Head of Security and across engineering, IT, legal, and sales. This is a program-ownership role with the autonomy and accountability that implies. You will not have a senior compliance function above you to defer to; you are that function. In your first year, success looks like a complete and defensible evidence base with clean audit outcomes, a repeatable way to answer customer security diligence, and a risk register that leadership actually uses. What You'll Do Own our SOC 2 Type II and ISO 27001 programs, and future frameworks as we take them on, including scope, evidence, control operation, and the relationship with our external auditors. Own and complete the control evidence base in our compliance automation platform, moving controls from partially substantia

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. Project Title Photolithography Equipment Digital Twin and Throughput Optimization Using Advanced Data Analytics Project Description Develop a data-driven digital twin framework for photolithography manufacturing equipment to model tool behavior, identify productivity constraints, and evaluate optimization opportunities. The project will leverage equipment performance, process, and manufacturing datasets to create predictive simulations that improve understanding of tool utilization, cycle time drivers, and throughput performance. The project will provide exposure to advanced manufacturing analytics, simulation modeling, machine learning techniques, and data visualization applications commonly used in semiconductor manufacturing. Objective of the Project The objective of the project is to develop an analytical framework for modeling photolithography equipment behavior, evaluating productivity constraints, and identifying data-driven opportunities to improve equipment utilization, cycle time, and throughput performance. Opportunities for Full Time Employment The intern may be considered for relevant full-time employment opportunities based on business needs, position availability, and demonstrated suitability during the internship.

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. The HBM Design Architecture team drives exploration and analysis of next‑generation AI memory and system environments. The organization partners closely with DTPCO, Design, and Product/System teams to understand how evolving AI workloads shape memory system behavior and architectural strategies. The HBM Design Architecture Intern supports early‑stage research, performance modeling, and tool development that guide future HBM architectural decisions. This role provides hands‑on exposure to AI system trends and memory subsystem analysis while working closely with senior engineers and technical mentors. Responsibilities Research emerging trends in compute, networking, and storage infrastructure to understand how future AI workloads may evolve. Support HBM architecture analysis by gathering and synthesizing data related to bandwidth, latency, and system‑level memory requirements. Help develop or refine simulation frameworks used to model AI cluster performance and memory subsystem behavior. Participate in building trend dashboards using CSP benchmarks and industry datasets. Collaborate with DTPCO mentors to explore architectural intercept opportunities for next‑generation AI systems. </ul

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 You'll join the team designing Okta for AI Agents — one of Okta's newest and most critical strategic initiatives, providing identity management, access control, and governance for AI agents and non-human identities. Our customers are IT and security admins, AI developers, and system architects who need to safely deploy and govern how AI agents interact with corporate data, tools, and production environments. As a designer on this team, you'll own key workflows end-to-end, from early-stage concepting of novel interaction models (there's no established pattern library for "agentic permissioning" yet) to hardening flows for scale as the product matures. You'll partner closely with product managers, engineers, researchers, and content designers, and work closely with our Principal and Staff designers, to turn ambiguous, highly technical agentic problems such as delegation, policy, audit, and trust boundaries between humans and agents into experiences that feel simple and safe. You'll be expected to bring sound design judgment to problems that don't have precedent to borrow from, and to actively experiment with how AI can be woven into your own design process, from exploration to prototyping. What you will do Own key workflows end-to-end, from early-stage concepting of novel interaction models, where few established patterns exist yet, through hardening and polishing flows as the product matures and scales to millions of customers. Bring a systems-think

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. At Okta, we're building a world where anyone can safely use any technology, and we're specifically focused on protecting the future of work. We bring simple and secure access to people and organizations everywhere, promising to not only protect the identities of our customers' workforce and users, but to ask, “what more can we make possible?” 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. We are looking for a talented Staff Product Designer who can help shape Okta’s expansive product portfolio by bringing exceptional craft and fresh perspective to the world of identity and security. Finer print You will be designing the user experience for Okta Identity Governance . Large companies need to know who should have access to what and prove it to auditors. We build the tools for requesting, reviewing, and managing that access. At our customers' scale, one review can involve the whole company. Making that feel simple and intuitive is your job. What you will do Own the long-term design strategy for your product area, shaping where it goes across multiple releases, not just the roadmap in front of you. Partner with design leadership to define the patterns and standards other designers build on, and raise the

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

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Staff Data Analyst, you'll turn raw data into actionable insights that inform strategic decisions across GitLab's global Support Engineering organization. You'll design dashboards, reports, and data models that help leaders monitor performance, optimize costs, and improve customer outcomes. You'll also promote data innovation by experimenting thoughtfully and working through complex problems. What you'll do Own annual operating plan and capacity planning through data modeling and validation that support workforce and budget decisions. Build and maintain utilization and team-performance scorecards, in