Node Development Product Engineer Jobs

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. Key Responsibilities Lead full-chip floor planning, integration, physical implementation, signoff, and tape-out execution. Drive layout implementation of complex analog, mixed-signal, memory, and high-speed interface designs. Own DRC, LVS, ERC, EMIR, reliability, and manufacturability closure. Define and scale layout methodologies, best practices, and execution frameworks. Leverage Artificial Intelligence, Machine Learning, and Agentic AI to improve layout productivity, design quality, automation, and faster decision-making. Drive automation initiatives using AI-assisted design, verification, debugging, and knowledge management solutions. Lead cross-functional and global teams, mentor engineers, and drive technical excellence. Qualifications B. Tech /M. Tech in Electrical Engineering, Electronics, VLSI, or related field. 15&#43; years of hands-on custom layout experience. Proven success leading full-chip programs from concept through silicon tape-out. Deep expertise in: Analog & Mixed-Signal Layout Memory & High-Speed Interface Layout Full-Chip Floor planning & Integration Signal Integrity, Power Integrity, EM/IR Physical Verification & Signoff Advanced Node Technologies (FinFET/GAA) Strong proficiency with Cadence Virtuoso, Calibre, StarRC, Totem, and related EDA tools. Proven experience leveraging <

NVIDIA is seeking a Senior System Architect: Heterogeneous EDA Systems to solve a complex challenge in accelerated computing: Failure Attribution at Scale. As EDA or equivalent experience workloads scale across thousands of heterogeneous nodes, a single failure can cause massive resource waste. We need an engineer to develop and build an automated framework. This framework will ingest telemetry from CPU and GPU clusters to identify the root cause of job failures in real-time. It will distinguish between hardware faults, infrastructure instability, and software defects. What you'll be doing: Architect Failure Attribution Frameworks: Build a scalable &#34;flight recorder&#34; for EDA jobs that captures high-fidelity state across the CPU, GPU, and Fabric at the moment of failure. Build automated diagnostics that correlate GPU XID errors, PCIe bus failures, and CUDA memory exceptions. Connect these errors with system-level events such as OOM kills or NUMA-related hangs. Distributed Logging & Tracing: Implement low-overhead tracing mechanisms (using tracing tools or custom agents) that provide access to job execution across multi-node Slurm or Kubernetes clusters. Root Cause Automation: Develop heuristics and models based on machine learning to classify failures as &#34;Hardware Fault,&#34; &#34;Software Bug,&#34; or &#34;Environment Issue.&#34; This reduces the Mean Time to Identify (MTTI) for R&D teams. Resiliency Engineering: Work closely with hardware and infrastructure teams to define &#34;signals of impending failure,&#34; enabling proactive job migration or check-pointing before a crash occurs. What we need to see: Distributed Systems Mastery: BS, MS, or PhD in Computer Science or Electrical Engineering (or equivalent experience) with 6&#43; years in systems programming. Experience building automated

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Senior Software Engineer — Cortex Training The Snowflake ML Platform team's mission is to let customers run their most demanding ML/AI workloads inside Snowflake. Cortex Training is our LLM post-training platform: it turns scarce, expensive GPU capacity into a simple, composable service, so customers can adapt open-weight foundation models to their own business problems while we handle the hard distributed-systems parts, including scheduling, orchestration, multi-node training and inference, fault tolerance, and throughput. The platform already runs post-training at scale. Under the hood, it decouples GPU computation from the training loop and exposes it as primitive APIs that compose into everything from SFT to full RL workflows. You'll work alongside a team that ships fast & sweats reliability and the researchers behind DeepSpeed. We're looking for an engineer who thrives in the ML infrastructure layer and brings a solid understanding of LLMs and post-training to help us scale and grow it. YOU WILL: Design and build across the full stack — from the public training APIs and SDK through the control plane to the GPU data plane. Scale the distributed systems that make GPU compute serverless — multi-tenant scheduling, placement, and capacity-aware routing across regional G

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. 職務内容 ・Micronの安全方針に従い、必要な安全教育を完了し、安全を最優先に業務を遂行する。 ・DRAM製造におけるドライエッチプロセスの開発、最適化、および維持管理を担当する。 ・歩留まり、品質、生産性、およびコスト改善に向けたプロセス改善活動を主導する。 ・統計解析および問題解決手法を活用し、工程異常や製品不良の原因解析および是正を行う。 ・新製品導入、新技術ノード立上げ、およびプロセス変更評価を計画・実行する。 ・設備エンジニアおよび装置メーカーと協力し、装置性能向上および安定稼働を推進する。 ・工程能力改善、リスク低減、および生産性向上プロジェクトをリードする。 ・技術文書、標準作業手順書、工程仕様書および報告書を作成・維持管理する。 ・グローバル開発チームおよび社内関係部門と連携し、技術課題の解決とロードマップ推進に貢献する。 ・データ分析ツールおよび生成AIを活用し、技術解析、レポート作成、知見共有、プロジェクト推進および意思決定の迅速化を行う。 要件 ・工学、材料、化学、物理、電気電子、または関連分野の学士号以上。 ・半導体製造プロセスまたは装置技術に関する知識を有すること。 ・統計解析および問題解決能力を有すること。 ・多部門およびグローバルチームと協働できるコミュニケーション能力。 ・Microsoft Officeおよびデータ分析ツールの活用経験。 ・英語による基本的なコミュニケーション能力。 ・プログラミング、データベース、スクリプト作成の基礎知識を有することが望ましい。 ・AIツール&#xff08;生成AIを含む&#xff09;を活用して情報収集、データ分析、文書作成、業務効率化を行う能力、または新しいAI技術を積極的に学習し活用する意欲を有すること。 Responsibilities and Tasks • Complete all required safety training and perform work in accordance with Micron safety policies. • Develop, optimize, and sustain advanced dry etch processes for DRAM manufacturing. • Lead process improvement initiatives focused on yield, quality, productivity, and cost reduction. • Apply statistical analysis and structured problem-solving methodologies to identify, diagnose, and resolve manufacturing issues. • Plan and execute process evaluations supporting new product introduction, technology node transitions, and process changes. • Collaborate with equipment engineers a

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: As the Director of Site Operations, you’ll own node and rack uptime for SpaceXSI's AI supercompute cluster—the most advanced of its kind. This role is the extreme owner of cluster health and customer Service Level Agreements across 5+ sites operating 24/7. You’ll lead a 250+ person organization of site managers, shift supervisors, and technicians, plus the site reliability engineering team that monitors cluster health and drives fault mitigation at scale. We’re looking for a hands-on operations leader who can build a culture of excellence and accountability, partner tightly across the company, and keep uptime exceptional as we grow. RESPONSIBILITIES: Own Cluster Uptime: Serve as extreme owner of node, rack, and cluster health across 5+ sites running 24/7, accountable for customer Service Level Agreements and consistently exceptional uptime on SpaceXSI's supercompute cluster. Lead a Large Operations Organization: Direct a 250+ person team spanning site managers, shift supervisors, and technicians across four 24/7 shifts, building a culture of excellence and accountability at every layer of the org. Drive Node and Rack Remediation: Ensure systematic recovery of fai

Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role We are looking for a seasoned Systems level Linux engineer / Linux internals expert to help us build our next generation of command connector product that turns any legacy camera into a cloud-native, AI-searchable node. Under the hood, it's managing dozens of concurrent video streams, translating disparate camera protocols into a single unified pipeline, and feeding all of it into CV models / inference run at the edge of the device itself. We currently support 100K+ customer cameras on this product and looking for more technical talent to help our growth. What You'll Do Reading kernel oops/panic traces Debugging GPU driver issues Working with boot/security subsystems like secure boot and luks disk encryption Networking internals (routing, firewalling, link-layer issues) RAID array management (mdadm, disk failure/rebuild

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 This role owns Baseten's relationships and market intelligence across hyperscalers and strategic neoclouds, including NVIDIA cloud partners. This is a technical and commercial role in equal measure: you'll evaluate capacity from the GPU to the data center, negotiate cost and terms with suppliers, and stay close enough to the market to develop and defend a real point of view on where it's heading. Given current market conditions, Baseten needs a much stronger pulse on this part of the market so we can track pricing, stay close to the right relationships, and move fast the moment more capacity is needed. This is a senior, experienced hire who will also help pair with and develop 1-2 junior to mid-level teammates covering the same space. WHAT YOU'LL DO Build and maintain deep relationships across hyperscalers and strategic neoclouds (including NVIDIA cloud partners), working each organization from top to bottom rather than a single point of contact Maintain a consistent, "top of mind" presence with key accounts so Baseten is positioned to move quickly when capacity needs arise Evaluate capacity from the GPU to the data center — hardware generation, rack and node configuration, interconnect, power density, and cooling — so you know what a configuration will actually deliver, not just what the spec sheet claims Live in compute pricing daily: track rates by GPU generation, region, and contract term to keep Baseten inf

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As an Infrastructure Lead on the Exchange team within Institutional , you'll own the network infrastructure, deployment, and operational tooling behind a unified trading platform that runs across cloud and on-prem/colocated venues. This team powers the systems that let the world's largest financial institutions trade across markets with speed, depth, and trust. You'll keep latency-sensitive, multi-node trading environments fast, reliable, and easy to build on, shaping trading infrastructure from the ground up with the ownership of a startup and the reach of Coinbase. What you'll do: Own, operate, and optimize resilient, ultra-low-latency networks and physical data-center infrastructure supporting institutional trading, market data, and exchange connectivity across cloud and on-prem environments, including racking, cabling, cross-connects, and vendor coordination. Design and maintain routing, traffic-segmentation, and multicast market-data architectures using BGP, OSPF, VRFs, PIM, IGMP, and high-availability platforms such as Arista MLAG, Cisco vPC, and VRRP. Deploy and operate firewalls and secure connectivity across Fortinet and Palo Alto platforms, including IPsec VPNs, SSL VPNs, and third-party connections. Drive observability and operational excellence through SNMP, gRPC telemetry, latency and packet-loss analysis, microburst detection, and network automation usi

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As a Principal Hardware Systems Engineer within Everpure’s EXA Hardware Engineering organization, you will serve as a primary technical authority driving the architectural vision, end-to-end design, and system-level validation of our next-generation enterprise and cloud-scale storage platforms. In this principal-level role, you will define the technology roadmap that bridges deep silicon/board-level hardware innovation with complex, multi-node cloud execution. You will establish design patterns, set high-speed and power/thermal benchmarks, and lead technical strategy across internal platform software teams, cross-functional executives, and global OEM/ODM/JDM partners. By defining next-generation server architectures, rack-scale power/thermal strategies, and zero-downtime resilience models, you will ensure EverPure maintains its industry-leading edge in storage performance and platform reliability. WHAT YOU’LL DO Architectural Leadership & Platform Strategy: Define and own the end-to-end multi-generational hardware roadmap for enterprise storage platforms. Drive architectural trade-off decisions across compute (x86/ARM), memory subsystems, DPUs, high-speed fabrics (PCIe Gen 5/6, CXL), and media technologies to maximize storage density, performance per watt, and TCO. JDM/ODM Governance & System Design: Lead system-level HW design reviews (schematics, layout, power tree design, thermal topology) across global

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Security EDR Workflows team is in charge of building core capabilities that power Elastic Defend management experience. Our focus is on delivering policy configuration and management capabilities, Elastic Defend and third party providers response actions as forensics capabilities through OSquery. The team is leading XDR key expansion to our SIEM foundations and enhancing user experience in onboarding and managing our security product. As a Software Engineer on the Security EDR Workflows team, you will help build workflows and user-facing capabilities that get to our Elastic Defend agent to protect and respond against security threats. You’ll collaborate closely with other security engineering teams, as well as with product and design, to deliver robust, high-scale features used by security practitioners around the world. You’ll be using AI to quickly understand and solve problems. What You Will Be Doing You’ll implement features that power Elastic Defend user interface capabilities. You’ll contribute to the architecture of Elastic Defend management and response actions framework along with OSquery forensics capabilities. You’ll develop scalable, high performance systems within the Elastic ecosystem. Write production-grade code in Typescript/Node JS (and potentially other languages) as part of high-quality, well-tested

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Security EDR Workflows team is in charge of building core capabilities that power Elastic Defend management experience. Our focus is on delivering policy configuration and management capabilities, Elastic Defend and third party providers response actions as forensics capabilities through OSquery. The team is leading XDR key expansion to our SIEM foundations and enhancing user experience in onboarding and managing our security product. As a Software Engineer on the Security EDR Workflows team, you will help build workflows and user-facing capabilities that get to our Elastic Defend agent to protect and respond against security threats. You’ll collaborate closely with other security engineering teams, as well as with product and design, to deliver robust, high-scale features used by security practitioners around the world. You’ll be using AI to quickly understand and solve problems. What You Will Be Doing You’ll implement features that power Elastic Defend user interface capabilities. You’ll contribute to the architecture of Elastic Defend management and response actions framework along with OSquery forensics capabilities. You’ll develop scalable, high performance systems within the Elastic ecosystem. Write production-grade code in Typescript/Node JS (and potentially other languages) as part of high-quality, well-tested

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Security EDR Workflows team is in charge of building core capabilities that power Elastic Defend management experience. Our focus is on delivering policy configuration and management capabilities, Elastic Defend and third party providers response actions as forensics capabilities through OSquery. The team is leading XDR key expansion to our SIEM foundations and enhancing user experience in onboarding and managing our security product. As a Software Engineer on the Security EDR Workflows team, you will help build workflows and user-facing capabilities that get to our Elastic Defend agent to protect and respond against security threats. You’ll collaborate closely with other security engineering teams, as well as with product and design, to deliver robust, high-scale features used by security practitioners around the world. You’ll be using AI to quickly understand and solve problems. What You Will Be Doing You’ll implement features that power Elastic Defend user interface capabilities. You’ll contribute to the architecture of Elastic Defend management and response actions framework along with OSquery forensics capabilities. You’ll develop scalable, high performance systems within the Elastic ecosystem. Write production-grade code in Typescript/Node JS (and potentially other languages) as part of high-quality, well-tested

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Security EDR Workflows team is in charge of building core capabilities that power Elastic Defend management experience. Our focus is on delivering policy configuration and management capabilities, Elastic Defend and third party providers response actions as forensics capabilities through OSquery. The team is leading XDR key expansion to our SIEM foundations and enhancing user experience in onboarding and managing our security product. As a Software Engineer on the Security EDR Workflows team, you will help build workflows and user-facing capabilities that get to our Elastic Defend agent to protect and respond against security threats. You’ll collaborate closely with other security engineering teams, as well as with product and design, to deliver robust, high-scale features used by security practitioners around the world. You’ll be using AI to quickly understand and solve problems. What You Will Be Doing You’ll implement features that power Elastic Defend user interface capabilities. You’ll contribute to the architecture of Elastic Defend management and response actions framework along with OSquery forensics capabilities. You’ll develop scalable, high performance systems within the Elastic ecosystem. Write production-grade code in Typescript/Node JS (and potentially other languages) as part of high-quality, well-tested

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Security EDR Workflows team is in charge of building core capabilities that power Elastic Defend management experience. Our focus is on delivering policy configuration and management capabilities, Elastic Defend and third party providers response actions as forensics capabilities through OSquery. The team is leading XDR key expansion to our SIEM foundations and enhancing user experience in onboarding and managing our security product. As a Software Engineer on the Security EDR Workflows team, you will help build workflows and user-facing capabilities that get to our Elastic Defend agent to protect and respond against security threats. You’ll collaborate closely with other security engineering teams, as well as with product and design, to deliver robust, high-scale features used by security practitioners around the world. You’ll be using AI to quickly understand and solve problems. What You Will Be Doing You’ll implement features that power Elastic Defend user interface capabilities. You’ll contribute to the architecture of Elastic Defend management and response actions framework along with OSquery forensics capabilities. You’ll develop scalable, high performance systems within the Elastic ecosystem. Write production-grade code in Typescript/Node JS (and potentially other languages) as part of high-quality, well-tested

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Security EDR Workflows team is in charge of building core capabilities that power Elastic Defend management experience. Our focus is on delivering policy configuration and management capabilities, Elastic Defend and third party providers response actions as forensics capabilities through OSquery. The team is leading XDR key expansion to our SIEM foundations and enhancing user experience in onboarding and managing our security product. As a Software Engineer on the Security EDR Workflows team, you will help build workflows and user-facing capabilities that get to our Elastic Defend agent to protect and respond against security threats. You’ll collaborate closely with other security engineering teams, as well as with product and design, to deliver robust, high-scale features used by security practitioners around the world. You’ll be using AI to quickly understand and solve problems. What You Will Be Doing You’ll implement features that power Elastic Defend user interface capabilities. You’ll contribute to the architecture of Elastic Defend management and response actions framework along with OSquery forensics capabilities. You’ll develop scalable, high performance systems within the Elastic ecosystem. Write production-grade code in Typescript/Node JS (and potentially other languages) as part of high-quality, well-tested