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 building the next generation of DRAM technology and pushing what’s possible at the intersection of device physics and circuit design. Our team thrives on solving deep technical challenges and turning innovative ideas into high-performance, manufacturable memory solutions. If you’re excited about influencing future technology nodes and working on designs that ship at scale, you’ll feel right at home with us! As a Staff DRAM Design Engineer, you’ll play a critical role in shaping memory architectures and circuit innovations that directly impact product performance, power, and reliability. This is a hands-on design role where your expertise will drive key decisions from concept through silicon validation, while collaborating with cross-functional teams to deliver meaningful results. Responsibilities: Lead design and optimization of DRAM circuits including memory array, control logic, datapath, and test logic Perform and analyze circuit simulations using tools such as SPICE and Verilog Evaluate architectural trade-offs impacting power, performance, and die size Integrate layout parasitics into simulations and drive design for manufacturability Define validation strategies including test chip development and silicon bring-up Minimum Qualifications: Bachelor’s degree in Electrical Engineering or related field 5+ years of circuit design experience or product engineering experience Strong understanding of analog and digita
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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. About the Role We are looking for experienced EDA/CAD engineer with hands-on AI, ML, or LLM experience who is excited to shape the next generation of AI-assisted workflows for custom memory development. In this role, you will apply your expertise in IC design, layout, verification, simulation, and design automation to identify and deliver high-value solutions that improve engineering productivity, quality, and cycle time. This position offers the opportunity to build on a strong CAD foundation while growing into a broader AI-focused role over time. Responsibilities Design, develop, and deploy software, automation, and AI-assisted solutions that improve IC design workflows across layout, verification, simulation, and tape-out activities Develop and enhance AI-assisted tools, agents, and automation that improve engineering productivity and design team efficiency Collaborate with worldwide design, layout, verification, and CAD teams to identify high-impact use cases for automation and AI enablement Build a
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. What You'll Do Architect and implement scalable multi-agent systems: A2A collaboration, memory, reasoning, tool use, workflow orchestration, observability. Build agentic workflows on the Claude ecosystem: Claude Code–style engineering, MCP tool access, and AWS AgentCore runtime patterns. Design and optimize Vector RAG & GraphRAG: retrieval, semantic search, grounding, citation, graph traversal, and context engineering. Deliver technology-agnostic hybrid architecture: across AWS, GCP, Kubernetes, and on-prem/distributed data platforms. Partner across engineering, manufacturing, product, validation, and data teams; lead PoCs, mentor, and set standards. What You Bring (Required) Bachelor's or equivalent experience in CS, AI, Data Science, or a related field; 8+ years in software/AI-ML, enterprise, platform, or knowledge engineering. Validated delivery of enterprise-scale Agentic AI, Generative AI, and RAG/GraphRAG solutions. Hands-on Python plus agentic framewo
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. Job Purpose and Summary: At CVS Health, we are focused on transforming health care for our customers and making our company a great place to work. We help people navigate the health care system – and their personal health care – by improving access, lowering costs, and being a trusted partner for every meaningful moment of health. Within our Retail locations, we bring this promise to life with heart every day. Our Staff Pharmacists play a critical role in cultivating a culture of excellence in their pharmacy by acting as a role model for all, demonstrating genuine care, and setting the bar for the pharmacy team. As a Staff Pharmacist, you play a critical role at the forefront of delivering our purpose, modeling our values, and demonstrating genuine, authentic care for our patients. In addition to supporting the Pharmacy Manager in leading and directing the pharmacy team, you are accountable for supporting the management, oversight, and operation of all aspects within your pharmacy. The Staff Pharmacist’s responsibilities include, but are not limited to: Living our purpose by helping to manage and improve patient health through safe and appropriate dispensing, counseling, and immunizing practices Taking direction from the Pharmacy Manager and overseeing the pharmacy as their proxy during bench shifts without overlap, including strengthening pharmacy performan
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. Job Purpose and Summary: At CVS Health, we are focused on transforming health care for our customers and making our company a great place to work. We help people navigate the health care system – and their personal health care – by improving access, lowering costs, and being a trusted partner for every meaningful moment of health. Within our Retail locations, we bring this promise to life with heart every day. Our Staff Pharmacists play a critical role in cultivating a culture of excellence in their pharmacy by acting as a role model for all, demonstrating genuine care, and setting the bar for the pharmacy team. As a Staff Pharmacist, you play a critical role at the forefront of delivering our purpose, modeling our values, and demonstrating genuine, authentic care for our patients. In addition to supporting the Pharmacy Manager in leading and directing the pharmacy team, you are accountable for supporting the management, oversight, and operation of all aspects within your pharmacy. The Staff Pharmacist’s responsibilities include, but are not limited to: Living our purpose by helping to manage and improve patient health through safe and appropriate dispensing, counseling, and immunizing practices Taking direction from the Pharmacy Manager and overseeing the pharmacy as their proxy during bench shifts without overlap, including strengthening pharmacy performan
Fanatics Commerce is the global leader in licensed sports merchandise, operating a vertically integrated platform that designs, manufactures, and delivers officially licensed apparel, jerseys, headwear, and collectibles for major leagues, teams, and events worldwide. With more than 900 e-commerce sites and a global omnichannel presence across digital, in-venue, and retail, Fanatics Commerce reaches fans in over 180 countries and powers official fan experiences for many of the world's most iconic sports properties. At Fanatics, we bring our BOLD Leadership Principles to life every day - building championship teams, obsessing over fans, acting with entrepreneurial speed, and delivering with a determined and relentless mindset. Staff Product Manager, AI Platform Adoption & Growth As we continue to scale our global platform, the Staff Product Manager, AI Platform Adoption & Growth will play a critical role in driving adoption and business impact of Fanatics Commerce's AI platform. ROLE OVERVIEW Fanatics Commerce is building an AI platform that makes it easier for teams to build, deploy, and scale AI-powered agents and tools across the organization. The Staff Product Manager, AI Platform Adoption & Growth owns the adoption and growth of that platform, identifying where teams struggle, removing friction from onboarding through production, and turning recurring customer needs into platform improvements. This role partners with business and technology teams, fellow AI platform PMs, and engineering leaders so that customer demand and adoption data shape the platform roadmap. The Staff Product Manager, AI Platform Adoption & Growth delivers business and fan impact through BOLD leadership and execution excellence, leveraging data, automation, and AI-enabled insights. HOW WILL YOU DRIVE IMPACT Success is measured by the ability to deliver results through BOLD capabilities and measurable outcomes. Team & Leadership Impact (Build Champions
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. Staff Software Engineer – File Ingestion (Customer-Facing Services) Build the Future of the AI Data Cloud Snowflake’s File Ingestion team owns the core engines behind COPY INTO and Snowpipe — the primary arteries landing customer data into the AI Data Cloud at hundreds of petabytes per quarter. We are expanding our core mission to build next-generation, external-facing ingestion services that directly expose file-ingest capabilities to external platforms, partner ecosystems, and customer applications. As a Staff Software Engineer , you will lead the architectural vision and execution for these mission-critical, customer-facing services. You will operate at the intersection of high-throughput distributed systems, API platform design, and direct customer feature delivery, defining how enterprise data seamlessly flows into Snowflake at global scale. What You’ll Do Drive Technical Vision & Architecture: Define the multi-year architecture and technical strategy for high-throughput, external-facing ingestion services and APIs across multi-cloud environments (AWS, Azure, GCP). Deliver Customer-Facing Innovations: Lead the end-to-end execution of enterprise-grade external features, ensuring low-latency data landing, high availability, and seamless ecosystem integration (e.g., S
About the Team DoorDash is building the world's most reliable on-demand, logistics engine for delivery. We are continuing to grow rapidly and expanding our Engineering offices globally! We are looking for Software Engineers, Machine Learning to build and maintain a large scale 24x7 global infrastructure system that powers DoorDash's 3-sided marketplace of Consumers, Merchants and Dashers. About the Role As a Software Engineer, Machine Learning, you’ll be conceptualizing, designing, implementing, and validating algorithmic improvements to the catalog system and our product knowledge graph at the heart of our fast-growing grocery and retail delivery business. You will use our robust data and machine learning infrastructure to implement new ML solutions to make our product knowledge graph accurate, standardized, semantically rich, easily discoverable, and extensible. We’re looking for someone with a command of production-level machine learning and experience with solving end-user problems who enjoys collaborating with multi-disciplinary teams. This role is hybrid with some in-office time expected and will report to an Engineering Manager. You're excited about this opportunity because you will... Develop advanced machine learning models to improve ads efficiency and quality. Design and build optimization algorithms for budget pacing and automated bidding to achieve various advertising goals. Establish a data-driven framework to understand how the bid density and market competitiveness would affect advertising value and platform revenue. Develop new data solutions (eg. embeddings and consumer profiles) to target the relevant audience. Be responsible for the end-to-end ML lifecycle, including ideation, offline model training, online shadowing/deployment, experimentation, and post-launch monitoring/measurement. Build and extend the current data/ML infrastructure to empower Ads data applications including data analysis, ML modeling, and experimentati
About the Team Come help us build the world's most reliable on-demand, logistics engine for last-mile retail delivery! We're looking for an experienced machine learning engineer to help us develop modern growth and personalization models that power DoorDash's growing retail and grocery business. About the Role We’re looking for a passionate Applied Machine Learning expert to join our team. As a Staff Machine Learning Engineer, you’ll be conceptualizing, designing, implementing, and validating algorithmic improvements to the growth and personalization experiences at the heart of our fast-growing grocery and retail delivery business. You will use our robust data and machine learning infrastructure to implement new ML solutions to make the consumer search experience more relevant, seamless, and delightful across grocery, convenience, and many other retail categories. You will demonstrate a strong command of production level machine learning, experience with solving end-user problems, and collaborate well with multi-disciplinary teams. You will report into the engineering manager on our Personalization team. We expect this role to be hybrid with some time in-office and some time remote (#LI-Hybrid). You’re excited about this opportunity because you will… Develop production machine learning solutions to build a world class personalized shopping experience for a diverse and expanding retail space Partner with engineering and product leaders to help shape the product roadmap applying ML Mentor junior team members, and lead cross functional pods to create collective impact You can find out more on our ML blog here We’re excited about you because you have… 8+ years of industry experience developing machine learning models with business impact, and shipping ML solutions to production. Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring an
About the Team The Fulfillment Planning team builds the intelligence that powers DoorDash’s logistics network. We optimize how deliveries are planned and executed across the full delivery lifecycle, improving customer experience, merchant outcomes, Dasher efficiency, and DoorDash profitability. Our mission is to improve fulfillment quality while reducing fulfillment cost. We do this by applying machine learning, optimization, and systems engineering to the core decisions behind assignment, routing, batching, timing, and fulfillment estimation. The team works on some of DoorDash’s most important logistics systems, including: The core assignment engine that matches deliveries with Dashers in real time. Real-time ETA and fulfillment estimation systems for consumers, Dashers, and merchants across diverse geographies and all business lines. Assignment and planning algorithms for specialized delivery types, including grocery, retail, parcel, and catering. ML models and optimization algorithms that shape demand, improve service quality, and reduce cost. Tier-0 logistics services that require high reliability, low latency, and strong operational discipline. The team also builds reusable ML systems and modeling patterns that scale across DoorDash’s logistics ecosystem. This role will help define the technical direction and best practices for logistics ML at DoorDash. About the Role We’re looking for a Staff Machine Learning Engineer to lead the design, development, and deployment of large-scale production ML systems that drive real-time decisioning across DoorDash’s fulfillment ecosystem. You will start by owning ML systems for assignment and fulfillment estimation, partnering closely with Product, Data Science, Engineering, and Platform teams to improve delivery quality, cost, and efficiency. Over time, you may also contribute to adjacent areas such as batching, fulfillment execution, demand shaping, and logistics optimization across DoorDash’s business lines. This is
About the Team The Notification Hub and Experience team is a product-focused engineering team responsible for one of the company's most scalable growth levers. Our mission is to deliver intelligent, personalized notifications that reach the right user, in the right channel, at the right time. The Notification Hub is the home of comms personalized to you, where every notification a customer has ever gotten lives on, browsable and actionable, so a missed push never means a missed deal. We operate at a massive scale, and we are transitioning from a campaign-centric mode to a fully personalized experience that treats notifications as a sequential, over-time experience with continuously learning from user behavior. About the Role We are looking for a Staff Backend Engineer to join our team. As a Staff Engineer, you are a technical leader and trusted advisor — you set the engineering excellence bar, own ambiguous cross-functional problems, and shape the roadmap for your domain. You will be the technical visionary leading our transition into high-level autonomy. You will drive the architecture and strategy for our notification experience at massive scale, while making every notification smarter, more timely, and more relevant for millions of customers. This role requires a deep understanding of distributed systems, AI fluency, and a product-minded approach to technical leadership. You will be responsible for building a system that balances immediate conversion value against long-term reachability costs. You’re excited about this opportunity because you will… Technical Leadership & Architecture Define and own the multi-quarter technical strategy for notification hub and experience team. Architect the notification system and experience, moving from campaign centric notification to an integrated personalized system that reasons over the entire user notification lifecycle. Make high-quality architectural decisions across relevance, latency, and system complexity Raise the
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 Staff Product Manager, Test & Code Coverage, you'll build product capabilities from initial discovery through launch and adoption. You'll help engineering teams understand why pipelines fail, improve test automation, and use code coverage to make better decisions about software quality and risk. You'll turn a technically complex problem space into a focused strategy, roadmap, and developer experience. Working closely with Engineering and Design, you'll explore how agents can diagnose failures, recommend next steps, and help teams recover safely. The goal isn't to add artificial intelligence (AI) fo
About the job Shape how Graphcore products move from hardware design into reliable volume manufacturing. As Staff Manufacturing Product Engineer, you will take a leading role in supporting NPI development and volume production across complex hardware products. You will connect design, test, quality and supply chain decisions with real manufacturing outcomes. Your work will help ensure products are manufacturable, resilient and ready for supplier capability. You will provide DfM feedback that improves PCB and system design before issues reach production. You will work closely with contract manufacturers, especially during NPI and early volume manufacture. You will drive yield improvement, analyse production data and resolve L6 manufacturing issues. This role suits someone who enjoys practical engineering ownership across design and production. You will travel to Taiwan and work close to suppliers shaping next generation manufacturing technologies. The team and culture You will join the Manufacturing and Technology Process team within Operations. The team works across Bristol, Cambridge and Taiwan, close to foundry, package assembly and PCBA partners. Work happens through clear ownership, supplier engagement and fast feedback into design teams. You will speak up early when manufacturability, yield or capability needs attention. The team values evidence, responsibility and strong cross-regional relationships. Decisions are made through engineering judgement, data and direct accountability for manufacturing performance. What we're looking for · Strong fault diagnosis, problem solving and failure analysis skills, including ICT to SMT debug · Thorough understanding of Automated surface mount assembly processes and manufacturing methodologies · Working knowledge of L10 mechanical design and system build, ideally for HPC products · Ability to connect silicon, package and PCB interactions into clear DfM feedback · Experienced in statistical analysis tools (e.g JMP, SQL, Pyth
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. Position Overview The Electrical Design Engineer will be responsible for designing, reviewing, and optimizing electrical power systems supporting a semiconductor fabrication (FAB) environment. This includes high-reliability power distribution, substations, cleanroom infrastructure, critical equipment supply, power redundancy systems, control systems, grounding systems, lightning protection, and integration with facility monitoring systems. The role requires prior experience in Power distribution design, semiconductor or similar industry, industrial manufacturing, mission-critical infrastructure, etc. Must be AI-Proficient. ⸻ Key Responsibilities • Develop & review electrical design packages including single line diagrams (SLD), load list, Sizing calculations, system studies, electrical design layouts, conceptual and detailed engineering packages. • Design, review & size of GIS, UPS systems, MV/LV Switchgears, Power & Distribution transformers, generators, VFDs, PDBs, harmonic filters, SCADA, PMS, grounding system, cabling schedules, and emergency power circuits. • Prepare and review technical documentation including control philosophies, schematics, wiring diagrams, and layout drawings. • Collaborate with multi-disciplinary engineering teams including Engineering Consultants, Global Engineering
About HopSkipDrive At HopSkipDrive, our mission is to create opportunity for all through mobility. We're the leader in safe, fast, and simple supplemental student transportation. Through our marketplace, we connect kids to highly-vetted caregivers on wheels. Through our software, we solve the biggest transportation challenges facing schools and school districts across the country. Founded by three moms as a solution to their own transportation challenges, we've now facilitated more than five million rides across over over 20states. We continue to grow rapidly — earning a spot on the Inc. 5000 list numerous times and the Deloitte 500 Fast-Growing Technology list. HopSkipDrive is a Series D company and has raised $100M to date. How we work We use AI every day, and not as a productivity add-on. It's woven into how we work at every level. We're rethinking how work gets done, who does what, and what a small team can accomplish. If you've already built AI into how you work, you'll hit the ground running. If you haven't, you'll need to be ready to learn fast and work differently than you have before. We're remote-first, mission-driven, and built for people who want to do work that matters with people who hold a high bar. Who We Are Platform & DevOps is a team that builds the platform that HopSkipDrive Engineering ships on: cloud infrastructure, CI/CD, test infrastructure, and the AI coding-agent tooling used by our product teams. Our engineers use coding agents every day, and this team makes the path from pull request to production as fast and safe as possible. This role will: Lead the development of infrastructure to help HopSkipDrive engineers test and ship safely through CI/CD, ephemeral environments, and AI-assisted testing and verification. Develop workflows where AI safely drafts test suites, scenarios, and verification artifacts while allowing engineers to oversee quality, evals, and safeguards. Establish cross-functional benchmarks for definin
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