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. Roles and Responsibilities Verification of Analog and mixed signal circuits. Generation of a Full chip mixed signal simulation environment where analog, digital and FW co-exist. Schematic/behavioral model generation of certain blocks to make FC simulation feasible/efficient Device level electrical rule checks – SOA, snapback, sfb etc Static and dynamic simulations to identify the leakage paths SPF extraction and fanout, coupling checks Power cycling simulations – PL and Brown out events Chip level user mode simulations correlating analog subsystems, logic and FW algorithms Design data sheet review and generation of verification plan You will also work and support the efforts of groups such as Product Engineering, Test, Probe, Process Integration, Assembly and Marketing to proactively design products to optimize all manufacturing functions and assure the best cost, quality, root-cause analysis, reliability, time-to-market, and customer satisfaction. Requirements Understanding of MOS device physics mainly second order effects Basic knowledge of few analog circuits – CM, BGR, op-amp, regulators, ADC, DAC and charge pumps Familiarity with shell, Perl/python scripts Familiarity with virtuoso, hspice, xa and cosim Familiarity with HDLs – Verilog/SV and Verilog A/AMS Debug enthusiast with system level outlook Ability to grab complex workflows and constant drive to innovate
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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. Summary Department Overview The Fab Engineering team supports semiconductor manufacturing by driving process performance, product quality, and operational efficiency. The team partners closely with equipment, quality, and production organizations to enable stable processes, improve yield, and deliver consistent manufacturing outcomes. Join us and make a change! Position Overview As a Fab Engineer, you will own and sustain semiconductor manufacturing processes within the fab. You will solve process issues, analyze performance data, and implement solutions that improve yield, quality, and cycle time. This role plays a direct part in enabling high-volume manufacturing through structured problem solving and multi-functional execution. Responsibilities Own process performance and drive improvements in yield, quality, and cycle time Troubleshoot manufacturing issues using structured methodologies (e.g., root cause analysis, FMEA, SPC, 8D) Analyze process data to identify trends, gaps, and improvement opportunities Define, monitor, and adjust process parameters across semiconductor manufacturing equipment Partner with cross-functional teams to resolve process excursions and implement corrective actions Support qualification and integration of new equipment, materials, and process changes Drive initiatives focused on yield improvement, cost reduction, and productivity Perform defect analysis and long-term investi
Job Title: Principal Software Engineer Location: South San Francisco, CA preferred; Remote optional Job Type: Full-time About the Role We're seeking a Principal Software Engineer to join Natera's R&D team. We build the cloud infrastructure, workflow platforms, and data platforms that R&D uses to do its science - including a Kubernetes-based workflow execution platform, a custom R&D LIMS system, and a set of supporting tools that routinely handle production-scale workloads. This is a senior technical role. You'll own the full architecture, implementation, and delivery of large projects across our platform. You'll partner with the team lead on roadmap and tough technical calls, mentor mid-level engineers, and help the team find the right solution for the problem - not the most elaborate one. We're a small team (4 engineers + lead) with broad scope, and we're heavily AI-augmented: every engineer uses Claude Code / Cursor as a daily tool, and we build our own AI tooling (custom plugins, MCP servers, agents) to multiply ourselves. Responsibilities Architecture & Delivery: Own the design, implementation, and delivery of major initiatives across our platform. Take fuzzy problems through to shipped, working software used in production. Technical Leadership: Lead architecture and design reviews. Help the team find the right solution for the problem and avoid unnecessary complexity. Influence technical decisions across the team. Mentorship: Mentor mid-level engineers through code review, design docs, and pairing. Raise the engineering bar by example. AI-Native Development: Build and improve our AI-coding tooling alongside the rest of the team. Help us push the frontier of agent-driven software development inside the company. Cross-Functional Partnership: Work with bioinformaticians, scientists, and other R&D engineers to understand their needs and translate them into platform capabilities. Partner with the team lead on roadmap, prioritization, and tough te
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 driving the next wave of memory innovation at Micron, pushing the boundaries of DRAM and enabling future scaling! Our team works at the intersection of science and manufacturing, turning advanced concepts into high-volume solutions that power a data-driven world. As a Principal/ MTS Wet Process Development Engineer, you will lead critical process innovation and integration for next-generation nodes. This role shapes wet process technology direction, influences roadmap decisions, and delivers scalable, manufacturable solutions that enable high-volume success. Key Responsibilities Technical Leadership and Problem Solving - Lead development, optimization, and troubleshooting of advanced wet process applications from Wet cleans and etches, Vapor-phase processes, Strip processes, Bevel etch, to Copper plating. Perform rigorous root cause analysis and implement robust, fab-ready and HVM-compatible solutions. Apply strong fundamentals in fluid dynamics, reaction kinetics, thermodynamics, transport phenomena. Evaluate interactions between upstream and downstream processes to ensure integration and yield success. Technology Development and Road-mapping - Translate device scaling requirements into actionable wet process technology roadmaps. Identify technical gaps and define solutions to meet critical specifications (CSPEC). Drive innovation in chemistry, process architecture, and tooling to support future technology nodes. Contribute to the development
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. Snowflake is redefining how enterprises bring data, applications, and AI together. As customers build AI systems for insights, automation, and action, they need governed access to the most important business data in the enterprise: data from systems like SAP, Salesforce, Workday, ServiceNow, and other leading application platforms. Historically, integrating this data meant building pipelines, duplicating data, losing business semantics, and creating operational complexity. The next generation of enterprise AI requires a better pattern: open, governed, zero-copy interoperability across application platforms, open table formats, catalogs, semantics, and Snowflake. We are looking for a hands-on, high-conviction Principal Product Manager to lead and scale Snowflake’s Zero-Copy Integrations product stream. This person will help shape the product strategy, execution model, partner roadmap, commercial motion, and customer experience for how Snowflake interoperates with the world’s most important business application platforms. This is a highly strategic role at the intersection of product, engineering, design, partnerships, GTM, and executive-level customer engagement. You will work closely with leading application vendors and Snowflake teams to define how customers access structu
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. Streamlit in Snowflake (SiS) is our flagship app development platform, enabling data engineers, analysts, and developers to build and deploy interactive, data-driven applications directly within Snowflake. As Principal Engineer for the Streamlit in Snowflake team, you will be the top technical voice shaping how millions of users build and deploy apps on Snowflake's data platform. This role requires a rare combination: deep hands-on engineering expertise in Python/container runtimes, a systems architect's instinct for platform design, and the organizational influence to drive cross-team programs. You will define how SiS evolves from its container-native SPCS runtime and embedding/iframe SDK, to its developer experience, performance at scale, and integration with Snowflake's broader AI and data ecosystem. AS THE PRINCIPAL ENGINEER FOR STREAMLIT IN SNOWFLAKE YOU WILL: Define and own the architectural vision for the SiS platform spanning the SPCS container runtime, the warehouse runtime, the embedding SDK, developer tooling, and the Snowsight integration layer. Drive the platform's evolution toward its next-generation capabilities building on publicly shipping features like chromeless viewer URLs and IdP integration, and shaping the architectural direction for areas still in de
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 Principal Product Quality Engineer, you are responsible for ensuring the stability and reliability of semiconductor manufacturing processes. This role involves defining standard operating procedures, applying statistical tools, and supporting audits to maintain high product quality standards. Additionally, the Principal Product Quality Engineer is a strategic leader responsible for architecting and driving global quality frameworks across multiple manufacturing sites. This role uses advanced engineering expertise, data analytics, and multi-functional collaboration to ensure process stability, product reliability, and continuous improvement at scale. You will influence global strategy and drive innovation. Responsibilities: Lead multi-functional and cross-site teams to resolve complex quality issues, driving global alignment and continuous improvement. Develop and implement global quality management systems in partnership with other Micron manufacturing facilities. Support the NPI qualification, PG/PTS yield improvement, Burn and module dpm reduction, defense line 4 enhancement and shift-left improvement Cover critical SWRs and RAR risk assessment, Fab Excursion-affected materials and RMA management. Monitor and report on critical quality metrics, including DPM, yield variation, and reliability performance. Supervise Wafer Level Reliability (WLR) and Wafer Level Burn In (WLBI)
Help leading insurers rethink how underwriting, claims and operations work The Role Capco is growing its Insurance practice in Hong Kong and is looking for a Principal Consultant to lead transformation initiatives with major Life, Health and General Insurance clients across Hong Kong and APAC. This is an opportunity to work directly with senior insurance leaders to redesign operating models, transform underwriting and claims capabilities, modernise customer journeys, and unlock value through digital, automation, data and AI-enabled solutions. You will play a key role in shaping client outcomes, developing market propositions, and contributing to the continued growth of Capco’s Insurance practice. What You’ll Do Lead end-to-end transformation programmes across Life, Health and General Insurance clients throughout Hong Kong and APAC. Design future-state operating models, process improvements, and customer, underwriting and claims journey enhancements. Partner with senior stakeholders including COOs, Heads of Claims, Heads of Underwriting, Operations Leaders and Transformation Executives to deliver strategic change. Lead multidisciplinary teams across consulting, technology, operations, data and third-party vendors to achieve successful outcomes. Contribute to business development activities, market propositions, thought leadership and the growth of Capco’s Insurance capability. What We’re Looking For 8–12+ years of experience within consulting, insurance operations, underwriting, claims, transformation, or a related discipline. Strong understanding of insurance operating models, process optimisation, underwriting operations, claims operations and policy servicing. Proven experience delivering large-scale transformation programmes within regulated insurance environments. Ability to engage senior stakeholders and translate strategic objectives into practical, measurable delivery plans. Professional fluency in English; Cantonese and/or Mandarin language ski
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. Lead end-to-end SSD firmware test architecture design and quality validation for enterprise/data center/automotive SSD products. Build high-efficiency automation platforms and CI/CD pipeline, drive critical issue resolution and product mass production. Key Responsibilities Own overall test architecture, validation strategy and quality system for enterprise SSD firmware. Design and implement test solutions covering functionality, performance, reliability, QoS, PLP, FTL, GC, power and security. Build and optimize automation test framework, long-stability test system and CI/CD pipeline to support mass validation. Lead root cause analysis and closure of critical FW issues including hang, drop, performance degradation and compatibility problems. Participate in product architecture review and provide technical suggestions on FW design, NAND selection and reliability targets. Drive test team capability improvement, process optimization and technical standardization. Track new storage technologies: PCIe 5.0/6.0, NVMe 2.0, ZNS, CXL, automotive and industrial storage. Requirements Bachelor’s/Masters
About the Role: The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding and ads optimization that shape the future of streaming. We are seeking a highly skilled Staff Machine Learning Engineer to contribute to transformative projects in video personalization. In this role, you will design and implement advanced algorithms and systems to improve our personalization strategy. As a senior technical expert, you will tackle complex problems in machine learning at scale, collaborating closely with cross-functional teams to develop and optimize machine learning-driven solutions. This is a hybrid role in our Toronto office. What You'll Do: Lead the design, development, and implementation of advanced recommendation systems and algorithms for a global audience Conduct deep dives into algorithmic components and systems, ensuring that models are optimized for both performance and scalability across multiple regions and product areas Build and deploy high-impact robust ML pipelines, including data extraction, feature development, model training, testing, and deployment Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring they meet business goals and provide high-quality user experiences. Work closely with Product, Engineering, and Data Science teams to align on product requirements, set expectations, and deliver machine learning-driven solutions that improve user engagement Your Background: 8+ years of industry experience building production Machine Learning systems MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks Proficiency in building and deploying full-stack machine le
About the Team The Ads & Promos Delivery team powers the last-mile delivery of ads and promotions, two marketing products offered to merchants, connecting merchant intent with consumer demand across search and discovery experiences. As a Principal Engineer, you will lead the technical direction for AI-first experiences, including ranking and relevance systems that sit at the core of our ads marketplace and shape how ads are selected, ordered, and personalized in real time across all verticals. You will design and build next-generation AI-first ranking systems using state-of-the-art techniques such as sequence modeling, deep learning, and large language models (LLMs). Your work will span query understanding, user and merchant representation learning, contextual relevance, and multi-objective optimization, balancing advertiser value, consumer experience, and marketplace health at scale. You will set the long-term technical vision, drive cross-team alignment, and translate cutting-edge research into production systems that operate under strict latency, scale, and reliability constraints. As DoorDash expands into 40+ global markets and new verticals such as Grocery and Retail, this role offers a rare opportunity to define how modern AI, including sequential models and LLM-powered decisioning, reshapes ads relevance in a closed-loop marketplace. About the Role Apply state-of-the-art machine learning and LLM techniques to problems across personalization, query understanding, user and content understanding. Rigorously evaluate ML and LLM models using a combination of offline analysis and online experimentation, designing metrics and experiments that clearly measure quality, impact, and tradeoffs. Own the full model lifecycle from research to production, including data analysis, model development, evaluation, offline and online A/B testing, and continuous iteration. Partner closely with product managers, data scientists, and designers to ensure AI-driven systems deliver
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. Lead end-to-end SSD firmware test architecture design and quality validation for enterprise/data center/automotive SSD products. Build high-efficiency automation platforms and CI/CD pipeline, drive critical issue resolution and product mass production. Key Responsibilities Own overall test architecture, validation strategy and quality system for enterprise SSD firmware. Design and implement test solutions covering functionality, performance, reliability, QoS, PLP, FTL, GC, power and security. Build and optimize automation test framework, long-stability test system and CI/CD pipeline to support mass validation. Lead root cause analysis and closure of critical FW issues including hang, drop, performance degradation and compatibility problems. Participate in product architecture review and provide technical suggestions on FW design, NAND selection and reliability targets. Drive test team capability improvement, process optimization and technical standardization. Track new storage technologies: PCIe 5.0/6.0, NVMe 2.0, ZNS, CXL, automotive and industrial storage. Requirements <s
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. Lead end-to-end SSD firmware test architecture design and quality validation for enterprise/data center/automotive SSD products. Build high-efficiency automation platforms and CI/CD pipeline, drive critical issue resolution and product mass production. Key Responsibilities Own overall test architecture, validation strategy and quality system for enterprise SSD firmware Design and implement test solutions covering functionality, performance, reliability, QoS, PLP, FTL, GC, power and security Build and optimize automation test framework, long-stability test system and CI/CD pipeline to support mass validation Lead root cause analysis and closure of critical FW issues including hang, drop, performance degradation and compatibility problems Participate in product architecture review and provide technical suggestions on FW design, NAND selection and reliability targets Drive test team capability improvement, process optimization and technical standardization Track new storage technologies: PCIe 5.0/6.0, NVMe 2.0, ZNS, CXL, automotive and industrial storage. Requirements Ba
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. We are the Snowflake Metadata team. We own Snowflake’s metadata systems that make it easy for customers to query, modify and manage their petabyte-scale data. We develop distributed systems that store and maintain metadata, transaction frameworks that power Snowflake’s query and DML capabilities, asynchronous systems that provide time travel and lifecycle management capabilities and entity metadata supporting DDL capabilities. We also build foundational capabilities that deliver global features like cross-region replication (Snowgrid), data sharing, and data marketplace. AS A PRINCIPAL SOFTWARE ENGINEER AT SNOWFLAKE YOU WILL: Solve real business needs at large scale by applying your software engineering and analytical problem solving skills. Design, develop and support fault-tolerant scalable distributed systems for our Snowgrid and Data Sharing teams. Create architecture and design, influence our product roadmap, and take ownership and responsibility over new projects. Analyze fault-tolerance and high availability issues, performance and scale challenges, and solve them. Mentor and grow junior engineers. Understand trade-offs between consistency, performance and costs to build solutions which can meet the demands of rapidly growing services. Ensure operational readiness of
Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Summary: As a Principal Software Engineer at Appian, you will be the primary technical strategist, responsible for shaping the architectural foundation of our platform. Your role involves anticipating future challenges and implementing innovative solutions today. You will drive complex cross-functional initiatives, ensuring Appian remains a leader in the low-code and automation industry. Responsibilities: Define the long-term architectural vision and governance for the Appian platform. Identify systemic technical risks and lead task forces to resolve architectural bottlenecks. Develop internal tools and SDKs to simplify infrastructure and enhance developer productivity. Conduct deep-dive troubleshooting for complex production issues. Promote AI-native engineering practices and integrate AI features into the platform. Lead the development of core platform libraries and high-risk prototypes. Participate in the Architectural Guild and review high-impact design documents. Mentor lead and senior engineers, and represent Appian in the tech community. Ensure operational resilience with self-healing and highly available systems. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field. 15+ years of software engineering experience, with significant experience in architecting large-scale distributed systems. Strong understanding of data structures, algorithms, and design patterns. Proven transformational leadership in technological migrations or strategies. Expertise in Java and Cloud-Native ecosyst
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