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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic’s Applied AI team helps the world’s largest organizations put Claude to work. As a Cybersecurity Specialist on Applied AI, you’ll be part of an overlay team of domain experts who sit alongside our enterprise account teams and bring deep security expertise to the accounts where it matters most. You won’t own an account. You’ll be the security expert the account team pulls in to win and grow the most important security conversations: helping CISOs and security leaders see where Claude can take on real security work, then guiding them from early pilots to durable, production workloads. You’ll cover a portfolio of enterprise accounts across regulated industries like financial services, insurance, and healthcare, strategic accounts like semiconductors (IP protection, industrial control systems, export controls), and digital natives and public sector agencies, each with its own threat model. How this team works You partner with account executives, account architects, and generalist Applied AI engineers, who own the customer relationship and the broader technical engagement. You bring the security depth they don’t have time to build. You work across many accounts at once, so the playbooks, reference implementations, and evaluation approaches you build are reused across the field, not j

Job Details: Job Description: We are seeking a System Software Development Engineer to design, develop, integrate, test, validate, and debug software across multiple layers of the software stack. This role involves working on technologies, products, and platforms that enable key features, capabilities, and solutions for next-generation computing systems. The engineer will collaborate with cross-functional teams to deliver high-quality software that supports hardware and software innovation. Key Responsibilities Design, develop, and maintain software across multiple layers of the system software stack, including: Firmware Device drivers Operating systems Middleware Frameworks Algorithms Applications and user interfaces Integrate software components to enable specific product features, capabilities, and solutions. Perform software testing, validation, debugging, and performance optimization to ensure reliability and quality. Develop and support reference platforms and product-specific software solutions. Collaborate with hardware, firmware, architecture, and validation teams to optimize system functionality and performance. Analyze system requirements and translate them into scalable software designs and implementations. Troubleshoot complex software and system-level issues across multiple technology domains. Contribute to software architecture, code reviews, and continuous improvement of development processes. Support product development throughout the software lifecycle, from concept and design through deployment and maintenance. Behavioral Traits Strong problem-solving and analytical skills. Technical curiosity with a passion for learning new technologies.<

Join NVIDIA, a company with over 25 years of experience advancing visual technology, personal gaming platforms, and high-performance computing! We have pushed innovation through our innovative technology and talented team. As we expand into AI's vast possibilities, we need a Senior Security Engineer, Architecture Patterns to build the future of computing. In this role, you will be involved in the latest AI developments, uphold security standards, and contribute to powerful projects alongside top talent in Santa Clara, CA. Join us! What you'll be doing: Develop shift-left solutions that embed security standards directly into AI-generated code, ensuring constraints, scaffolds, rules, and guardrails are applied during the coding process rather than post-shipment. Convert written security standards into machine-enforceable formats, enabling programming assistants and pipelines to apply them seamlessly without manual interpretation. Engineer verification workflows that confirm generated code meets claimed standards, providing evidence for downstream release gating and policy enforcement. Maintain and evolve evaluation harnesses, reference repositories, known-bad cases, and encouraged findings to ensure constraint-steered agents produce conformant code amid changing models, patterns, and tooling. Convert approved architecture patterns into secure, runnable reference implementations, such as templates, Helm charts, container images, and worked examples, ensuring their reliability as platforms evolve. Elevate AI solutions from prototypes to enterprise-grade products, focusing on versioning, observability, latency and cost budgets, access control, audit, graceful failure, and a detailed support and deprecation model. Set the enterprise-grade architecture standards for AI tooling in a security context, determining qualification criteria and monitoring adoption and outcomes to ensure effic

NVIDIA DGX Cloud is an AI Factory designed to power the next generation of AI and industrial-scale breakthroughs. As the Distinguished Engineer for Security Architecture, within our Security Engineering organization, you will set the security design bar for an AI factory of hundreds of thousands of GPUs, and then build against it alongside the teams. This is the founding architecture seat in a new organization. Security Engineering is a new organization at DGX Cloud, accountable for the security outcome of the platform, and this is the architecture function inside it. You will define the security design standard for DGX Cloud, a bar that sits above the company floor, and hold it from inside the teams doing the building. Security here is fleet horizontal and stack vertical, so your scope runs from the hardware root of trust and the hardened baseline, through tenancy and GPU workload isolation, to the services and APIs built on top, across every DGX Cloud engineering organization. A small team of Principal Engineers will report to you and hold the bar at domain depth. This is still a hands-on seat, and you stay in the design with them. You will also serve as DGX Cloud's technical interface into NVIDIA's central security organization. There is no architecture review board here and no approval queue; the bar holds because the strongest security engineers in the room helped set it and helped ship it. What You Will Be Doing: Set the DGX Cloud Security Bar: Own the security design standard across DGX Cloud (tenancy, GPU workloads, identity, supply chain, and isolation) and make it concrete. Reference architectures, golden paths, and requirements engineers can actually build against, not a policy library. Hold the Bar by Building: Embed with engineering teams on real work: join the design, learn the code, help ship the thing rather than grade it afterward.

NVIDIA's GPUs and SOCs are the world leaders in power, performance and efficiency. We are continually innovating to deliver new and creative, unusual solutions to extraordinary problems in a wide range of sectors. To this purpose, we are now seeking a hard-working Senior Package Layout Engineer who is committed to making a difference in the world through their contributions! This position will collaborate with Technical Package Lead and different design teams in the design and development of sophisticated, detailed layout of IC substrates for NVIDIA products. In addition, work with design teams to plan schedules, resolve costs, manufacturing, and electrical design issues. What you'll be doing: As part of a Layout team, you will collaborate to implement high speed/density ASIC packages. Perform substrate breakout patterns for ASIC packages. Optimize package pinout incorporating system level trade-offs of pins assignment. Help perform package routing, placement, stack-up, reference plane and power distribution using Cadence APD or SiP tool suite. Propose layout design trade-offs to the Technical Package Lead for resolution and implementation. Conduct design feasibility studies to evaluate the Package design goals for size, cost, and system performance. Develop symbols and CAD library databases using Cadence APD design tools Develop methodologies to improve layout productivity What we need to see: Hold a B.S. Electrical Engineering or equivalent experience 5&#43; years experience in PCB Layout of graphics cards, motherboards, line cards or other related technology. Experience with HDI designs is a plus Proven experience in substrate layout of wire bond and flip chip packages, preferred Significant background with Cadence AP

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 are seeking a Principal Analog Design Engineer to lead the design, integration, and delivery of advanced analog and mixed-signal IPs for High Bandwidth Memory (HBM) products. This role is critical in developing and integrating high-performance analog subsystems within the HBM logic die, enabling industry-leading bandwidth, power efficiency, and reliability. As a principal engineer, you will provide deep technical leadership across analog design, IP integration, system alignment, and silicon execution, driving end-to-end success of HBM solutions. Responsibilities will include, but are not limited to: Lead the design and own critical HBM analog circuits, including: High‑speed transmitters and receivers Clock generation and distribution (PLLs, DLLs, CDRs) SerDes‑related analog blocks Biasing, reference, and calibration circuits Power delivery and regulation circuits (LDOs, regulators) Define and lead IP interfaces, power domains, clocking schemes, and reset strategies across subsystems Perform detailed pre‑layout and post‑layout simulations Conduct PVT, Monte Carlo, mismatch, and aging analyses Work closely with layout engineers to define floorplanning and symmetry requirements, ensure matching, shielding, and EM/IR compliance Review and sign off on analog layouts Drive layout‑aware build optimizations for advanced nodes <

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana Altana is looking for a Principal Platform Engineer to be the technical authority for the platform our products run on. This is a senior individual contributor role, reporting to the Senior Director of Platform Engineering, for someone who steers architecture across organizational boundaries rather than inside one team's backlog. We operate a broad estate. Multi-cloud infrastructure across AWS and Azure, a multi-tenant commercial platform, accredited environments including FedRAMP and IRAP, and dedicated sovereign deployments for national customers. The architecture that holds those together determines how fast every product team can ship, how quickly a new customer comes online, and what our infrastructure costs. You will set the direction for it, and you will have real white space to go after the problems you judge to be the most consequential. You will be a permanent member of the Platform Engineering leadership team alongside our engineering managers, and you will be the person other engineers across the company come to when a technical question spans more teams than any one of them owns. Your Responsibilities Drive technical decisions and systems architecture across multiple organizations , not only within Platform Engineering, and contribute to company-wide design through existing forums while proposing new ones where they are missing Own the platform reference architecture across AWS and Azure and across our commercial, regulated, and sovereign environments, and define the patterns that engineering teams build against Translate company strategy into area-level technical strategy , keep it aligned with customer and product outcomes, and communicate the options and tradeoffs upward so leadership can choose with a clear view of the consequences Lead t

About Scale AI Our mission is to develop reliable AI systems for the world's most important decisions. The Enterprise AI business delivers performant, reliable, and production-grade AI applications to enterprises across all industries by providing Generative AI expertise and infrastructure. The Role Scale is looking for a seasoned world-class leader and operator to architect and expand our partnership ecosystem and transform how Scale goes to market globally. This leader will build high-impact relationships with world-class partners, focused on professional services firms, to accelerate the development of AI applications with Scale. We are looking for a revenue-minded leader to own GSI-sourced and GSI-influenced pipeline. You should be able to set the strategy and also run the operating cadence it takes to turn alliance agreements into closed revenue: joint account plans, co-sell motions, practice building, and delivery enablement. You will source, evaluate, negotiate, and execute partnerships covering go-to-market, joint solutions, and delivery areas. This is a highly cross-functional role, as you will collaborate across internal teams including product, engineering, finance, legal, marketing and operations. You will Define and deliver the strategy and roadmap for Scale's GSI partnership program, including partner selection, tiering, and investment priorities Build trusted relationships with alliance leaders, AI practice leads, and C-level executives at top GSIs and consultancies Structure and negotiate alliance agreements (e.g., resale, referral, co-sell, joint go-to-market, and delivery partnerships) and get cross-functional alignment on terms Build joint account plans with GSI partners for Scale's priority Enterprise accounts and drive co-selling with Scale's sales teams Help partners build Scale-certified practices: training, technical enablement, certification, reference architectures, and repeatable delivery playbooks Co-develop industry-spe

Location: Remote ERGO NEXT’s mission is to help entrepreneurs thrive. We’re doing that by building the only technology-led, full-stack provider of small business insurance in the industry, taking on the entire value chain and transforming the customer experience. Simply put, wherever you find small businesses, you’ll find ERGO NEXT. Since 2016, we’ve helped hundreds of thousands of small business customers across the United States get fast, customized and affordable coverage. We’re backed by industry leaders in insurance and tech, and we still have room to grow — that’s where you come in. This is a full-time hybrid position within the Claims Department. The primary focus of the role is training delivery and content development but the secondary focus will be claim handling and related duties. During training downtime, this position will support the department in other capacities, which may include administrative work and/or handling claim files. As training demand grows, responsibilities will shift increasingly toward dedicated training work. What You’ll Do: Assist with the development of Claims Department training curriculum Plan, prioritize and identify training needs for new projects, initiatives and change, including preparation of communication tools Participate in delivering training sessions to the Claims department on policies, procedures and Best Practices Create and maintain training content, job aids, and reference materials for the Claims team Partner with Claims Leadership in ensuring that the Department meets its objectives and goals Lead people to change, moderating discussions, building moments of reflection, being an expert and sharing his/her expertise, presenting, mentoring, etc Assist with identifying knowledge gaps, creating and implementing solutions to improve employee performance Provide administrative support to the Claims Department during training downtime Handle or assist with claim files du

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview As a Senior Engineering Lead, you will be a hands-on technical leader within the Platforms & Infrastructure team in Enterprise Operations & Technology, helping a growing cloud platform organization raise its engineering maturity and delivery effectiveness. This high-visibility role applies GenAI, AIOps, automation, and modern AWS engineering practices to reduce platform toil, remove operational delays, and design self-service, self-healing capabilities. By codifying reusable patterns, automation frameworks, and guardrails, this role enables application teams to modernize with less platform friction while maintaining secure, scalable, and resilient outcomes in a regulated environment. Our Impact: Enterprise Operations & Technology enables Freddie Mac’s business through resilient operations, technology modernization, risk management, and platform innovation. Our teams deliver the capabilities, standards, and tools that help the enterprise operate securely, efficiently, and at scale. Your Impact: Provide senior technical leadership to a maturing cloud platform team by establishing reusable patterns, reference architectures, automation, and implementation standards. Design self-service and self-healing platform capabilities that reduce manual intervention, ticket-driven support, operational delays, and recurring resiliency issues. Deliver AWS-native automation, serverless patterns, infrastructure as code, and code artifacts that create repeatable platform outcomes. Advance AIOps, GenAI, and intelligent automation across

About Us SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people’s lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja , the company has a proven track record of bringing disruptive innovation to market and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 4,100 associates, the company’s products are sold at key retailers, online and offline, and through distributors around the world. AI at SharkNinja At SharkNinja, we’re building an AI-native culture. We’re not waiting for the future; we’re creating it. Our people are expected to experiment boldly, adopt new tools, and continuously raise what’s possible to create meaningful impact for our consumers. If you believe the best way to do your job hasn’t been invented yet, you’ll fit right in. Position Summary The Manager of Embedded Firmware Architecture leads the platform and architecture-implementation team within SharkNinja's embedded firmware organization, sitting as a peer to the Embedded Firmware Delivery manager and reporting to the Director, Embedded Firmware. Where the Embedded Firmware Delivery manager owns design implementation and feature delivery, this role owns the architecture side: the reference implementations, hardware abstraction, and platform standards that every embedded firmware program builds against. This is a working leadership role. The Manager carries the technical depth to define interface contracts, HAL boundaries, and platform selection criteria, and to review code against them, while leading a team of Senior Embedded Firmware Developers who implement that architecture. The role holds the technical standard applied to internal developers a

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, TX What You'll Do Cloudflare is seeking a Security Engineer to design and build agentic security tooling for Cloudflare Security, and to release that work as open-source reference implementations, interactive labs, and technical workshops for customers and partners. This role sits in the Applied Research & Labs function within the Office of the CSO. You will work embedded with Cloudflare's security teams, build on Cloudf

At FourKites we have the opportunity to tackle complex challenges with real-world impacts. Whether it's medical supplies from Cardinal Health or groceries for Walmart, the FourKites platform helps customers operate global supply chains that are efficient, agile and sustainable. Join a team of curious problem solvers that celebrates differences, leads with empathy and values inclusivity. As a Principal AI Architect, you will own the architecture underneath every FourKites AI agent: the harness they run in, the context they see, the models they call, and the evals that tell us whether they work. Our digital workers (Tracy for track and trace, Sam for supplier operations, Alan for appointment management, Cassie for customer service, Polly for document management, and more on the way) do real supply chain work on a shared platform, and you will set its direction. This is a hands-on individual contributor role based in Chennai (hybrid). You'll write code most weeks, lead design reviews across agent teams, and make the calls on model choice, context strategy and evaluation that every team builds on. What you’ll be doing: Define the reference architecture for FourKites agents: the agent loop, tool execution, state and checkpointing, retries and recovery, guardrails, permissions, and human-in-the-loop handoffs Design for long-running, multi-step work that spans many context windows and recovers cleanly when a tool, carrier API or model call fails Decide where each problem is best solved (frontier LLM, open-weight model, fine-tuned encoder, or plain code) and own model routing, cost-per-task and latency budgets across the fleet Integrate agents with FourKites' event-driven platform (Kafka, microservices, Postgres) and with customer systems through APIs and MCP servers Set the standard for what goes into an agent's context window (system prompts, tool definitions, retrieved documents, memory, prior turns) within an explicit token budget Build shared components for retrieval,

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners . You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy. Responsibilities: Strategic Technical Partnership : Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues. Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. Partner Ecosystem & Events : Represent Anthropic at partner events such as GSI customer workshops, summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities. Product Feedback: Valid

About the team The Applied AI Engineering (Codex) team helps customers adopt OpenAI's coding tools throughout their software development lifecycle. We act as trusted technical partners, guiding engineering teams as they integrate Codex into their projects and workflows. Our customers span digital-native companies to global enterprises, and we work side-by-side to accelerate how they plan, build, and deliver software. About the Role We are seeking a technically deep, creativity-driven Applied AI Engineer who is already a power user of AI coding tools and passionate about pushing the boundaries of developer productivity. You will partner directly with engineering leaders and hands-on builders to design, validate, and scale advanced AI workflows, often using Codex to prototype and build the very demos, integrations, and automations customers ultimately adopt. This is a highly cross-functional role that blends technical architecture, product strategy, and customer-facing leadership. You’ll work closely with Sales, Solutions Engineering, Product, Applied Engineering, and the broader Codex organization to advocate for customer needs, shape product direction, and accelerate the successful deployment of intelligent coding systems across some of the world’s most influential companies. This role is based in Singapore. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees In this role, you will: Serve as the primary technical subject matter expert on OpenAI Codex for a portfolio of customers, embedding deeply with them to enable their engineering teams and build coding workflows. Partner directly with customers to design and implement AI-enhanced development workflows, from rapid prototyping through scalable production rollout. Build high-quality demos, reference implementations, and workflow automations, using Codex itself as part of your development process. Lead large-format workshops, technical deep dives, and hands-on