Design Manager Jobs

As a Lead AIOps Architect at Thoughtworks, you will be a hands-on technical leader driving engineering excellence and connecting our global AIOps capabilities with our regional client projects across APAC. As a seasoned AIOps practitioner, you will spend the vast majority of your time embedded in client project teams, designing production-grade solutions, writing high-quality code, and building automation pipelines on focused engagements. The rest of your time will focus on targeted technical pre-sales support, mentoring engineering teams, and advancing our internal AIOps practices. This is a high-visibility, technical individual contributor (IC) role. You will lead through technical influence, hands-on engineering, and architectural guidance across global and local teams, bringing global accelerators and reference architectures to local accounts while feeding project-level insights back to the global practice. Job responsibilities Architecture Design: Own the technical solution architecture for AIOps engagements, designing pragmatic, production-ready solutions that balance technical constraints, cost-efficiency, performance, and security. Hands-On Building: Deeply engage in building and implementing AIOps solutions, PoCs, and accelerators (across observability, intelligent alerting, AI-assisted triage, RCA, knowledge retrieval, and runbook automation) by writing production-quality code. Data & Workflow Engineering: Design and build data pipelines, tool integrations, and agentic workflows connecting observability, ITSM, and collaboration platforms into cohesive, automated flows. Engineering Excellence: Champion Thoughtworks engineering best practices, including clean code, TDD, CD, IaC, and strong observability within project teams. AI Evaluation & Governance: Design and operate evaluation/testing pipelines for AI/LLM components, establishing baselines/guardrails for accuracy, latency, cost, and reliability. Technical Advisory: Act as an AIOps advisor to cli

NVIDIA’s Silicon Co-Design Group sits at the crossroads of architecture, silicon, systems, and manufacturing, where first-principles thinking and engineering judgment at the highest level translate directly into product outcomes at scale. We are looking for a Principal Performance and Manufacturing Architect who has built the models, defined the specs, and seen them validated through silicon. You have owned the connection between design intent and manufacturing reality, not as a reviewer or a contributor, but as the person who set the methodology and proved it worked. You turn ambiguous physical phenomena into quantified, defensible margin terms. You do not wait for data to confirm your hypothesis; you design the experiment that gets it. You improve how the organization ships products after every program. The exceptional hire also uses AI deliberately — with proven workflow impact and the judgment to know where it compresses real work and where it introduces risk. What you'll be doing: Own the physics, from mechanism to margin. Build first-principles models connecting AVF, defect mechanisms, and DVFS transients to field FIT, system-level yield, and DPPM vs. coverage — calibrated per node and population shift — so every margin term in the V/F curve and P-state table is named, sourced, and defensible. Set the screen that resolves escapes. Specify ATE and SLT voltage, frequency, and timing conditions that capture worst-case transient VF windows — making it unambiguous whether a marginal defect or timing violation is detected or escapes at every manufacturing stage. Make the POR the authoritative source. Author the methodology document for each program and drive alignment across build, product definition, reliability, and test engineering — so every team is making decisions from the same model. Prove the model before produc

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. SDET Contractor We are looking for an experienced Software Development Engineer in Test (SDET) to help ensure the quality, reliability, and resilience of Agentic AI systems and backend services. This role will design and implement automated testing strategies across AI/LLM-driven applications, APIs, microservices, and distributed systems. The ideal candidate brings strong Quality Engineering and test automation fundamentals, with experience testing Generative AI, LLM-based, or Agentic AI systems. They should be comfortable testing complex systems where behavior may be non-deterministic and traditional pass/fail testing alone may not be sufficient. Responsibilities Develop and execute comprehensive QE strategies and test plans for Agentic AI systems, backend services, APIs, and service integrations. Design and maintain scalable automated test frameworks across API, functional, integration, contract, regression, and end-to-end testing. Develop testing approaches for non-deterministic AI behavior and establish meaningful evaluation criteria. Identify quality risks early and apply risk-based, shift-left testing practices throughout the development lifecycle. Integrate automated testing into CI/CD pipelines and establish effective quality gates. Partner with Sof

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Principal Network Engineer, you will work cross-functionally to plan the growth of Roblox’s global production network to support rapid user growth. In this role, you are responsible for Engineering and Architecture of Roblox Backbone and Edge Network. You will ensure that we are making the right investments with our global expansion to provide a great experience for all our users worldwide. We run services and a hosting platform with some unique complexities, so this role is an opportunity for the experienced network engineer to take on new challenges in addition to applying their existing expertise. You Will: Serve as a Principle Engineer for Roblox's Backbone Network. Drive future design, deployment, and operations for Roblox’s large-scale Network Infrastructure. Engage in design, qualification, and validation of new technologies, and ensure new technologies are deployable at scale and are safely operable. Collaborate with the Network Tooling Team to automate workflows and improve telemetry, observability, and alerting. Work with net tools to automate existing workflows and improve our telemetry and alerting framework. Participate in on-call rotation to support the global netw

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. About the Role The New York Times' Motion Graphics team focuses on elevating how animated graphics and motion design are used in our video journalism. Working in close collaboration with Video, Shows and Graphics, the team responds to the demands of stories and formats across the newsroom—from news explainers and visual investigations to enterprise series and shows. As a member of Digital News Design's Motion Graphics team, you will focus on work for Shows, a department created to expand the reach of The Times's audio and video shows. You will collaborate with reporters, editors, producers, art directors and show hosts to craft motion assets and visuals for our expanding roster of shows across a range of formats and platforms. You will be responsible for identifying creative needs and producing a range of design assets, including motion graphics, typography, animations, and MOGRT templates. In consultation with editors and other newsroom leaders, you'll exercise journalistic judgment and visual creativity to innovate and ensure accuracy, clarity, and validity of the content presented. Design team members are expected not only to make exceptional contributions to our journalism, but also to engage with others to foster an environment of learning and constructive dialogue about our work. This is an in-office position based in New York and includes regular attendance in the office four days each week. There may be some flexibility to work remot

To lead the design, integration, implementation, and optimization of advanced security automation systems across projects, ensuring robust site security through seamless deployment of Access Control, CCTV, Facial Recognition, and Perimeter Intrusion Detection solutions. The role is responsible for driving technology innovation, system reliability, stakeholder coordination, and project execution while establishing a centralized and intelligent security ecosystem that enhances operational effectiveness and risk mitigation. Source: Adani Group | Job ID: 56027

Key Responsibilities Landscape design and planning for large-scale developments Concept creation, detailed design, and execution coordination Collaboration with architects, consultants & project stakeholders Softscape & hardscape planning, site development strategies Managing consultants, vendors, and contractors Ensuring design intent throughout project execution Strong understanding of planting design Software Skills AutoCAD • Lumion • SketchUp • Photoshop Source: Adani Group | Job ID: 48496

NVIDIA is leading company of AI computing. At NVIDIA, our employees are passionate about AI, HPC , VISUAL, GAMING. Our SA team is more focusing to bring NVIDIA new technology into difference industries. We help to design the architecture of AI computing platform, analysis the AI and HPC applications to deliver our value to customers, focusing on defining and solving computational challenges in LLM inference and training acceleration, as well as network communication and data transfer optimization. What You'll Be Doing: Contribute to the development of open-source inference frameworks such as SGLang and vLLM, including feature and operator development, performance optimization, and model support, in collaboration with the community. Develop and optimize KV cache offloading frameworks for LLM workloads, supporting multi-level cache offloading and reuse across CPU, SSD, and remote storage to improve inference efficiency. (Team project: FlexKV) Drive R&D on compute performance in distributed training, and explore methods and technologies for performance optimization. Study computational challenges in machine learning systems, identify common needs and bottlenecks, and build example code, acceleration libraries, or frameworks accordingly. What We Need to See: Over 5 years working experience in the technology industry, with master’s degree or above in computer science, mathematics, electrical engineering, automation, or related fields. Strong interest in accelerated computing, parallel computing, and heterogeneous computing, with the motivation to explore these areas in depth. Solid programming skills, with a good understanding of data structures and computer systems fundamentals. Strong learning agil

Basic knowledge of graphic design tools (Photoshop, Illustrator, Canva, etc.) Basic video editing skills (Premiere Pro, After Effects, CapCut, or similar) Creativity with an eye for detail Creative thinking & design sense Willingness to learn and grow in a professional environment Good communication and teamwork skills

GAQ226R75 About the Role We are looking for a Senior Full Stack Developer to design, build, and deploy modern, scalable AI agents and applications that leverage Large Language Models (LLMs). This role requires a strong focus on end-to-end agent development, including building a high-performance React frontend, designing the agentic logic in Python, integrating with backend services, and ensuring production readiness. Key Responsibilities: Design, develop, and deploy AI agents for business-critical workflows, with a focus on LLM orchestration and tooling. Implement complex agentic behaviours using frameworks like LangChain or LangGraph, including ReAct loops for reasoning and action. Design and develop a high-performance React application for the agent's user interface. Collaborate with backend teams to integrate APIs and services, and build tools for agents. Work with middleware (Python/Node.js) to orchestrate agent calls and data flow. Implement comprehensive observability and tracing for agent runs and system performance. Build reusable, scalable UI components. Optimise application performance, responsiveness, and scalability. Participate in architectural discussions and contribute to solution design. Write clean, maintainable, and testable code with proper documentation. Required Skills & Experience 5+ years of experience in full-stack development, with strong expertise in Python and React.js . Proven experience in designing, building, and deploying at least 1 production-deployed AI agent or LLM application . Deep expertise in LLM orchestration, prompt engineering, and utilizing tools/plugins to extend agent capabilities. Experience with agent frameworks like LangChain or LangGraph , including implementing reasoning patterns like the ReAct loop . Experience with observability, logging, and tracing for AI agents. Experience building large-scale, enterprise-grade applications. Strong experience with API integration (REST/GraphQL). Experience working in Agile/Sc

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Team : Have you ever considered what powers the intelligent features behind seamless product experiences? The GenAI team is at the forefront of enabling AI-powered security and intelligent innovation across our organization. From crafting AI powered security services, to intuitive generative AI-powered chat experiences that provide instant product support, and developing the best developer experience around authentication for generative AI and AI agents, our team is instrumental in bringing the transformative power of AI to life. We collaborate closely with the Machine Learning team and various product teams to ensure the seamless and secure delivery of AI-enhanced features that provide real value to our users. The Opportunity : As a Staff Machine Learning Engineer on the Generative AI team, you will help shape, architect, and accelerate our Generative AI strategy by contributing across the stack of model development, infrastructure, and platform services. You’ll drive design and implementation of production-ready AI/ML systems at scale: ranging from LLM-powered features to reusable components that other teams across Okta can build on. You will have the opportunity to: Architect, design, and deploy robust Machine Learning & GenAI systems, ensuring seamless integration with diverse platform services and establishing scalable LLMOps pipelines in production. Drive technical decision making while striving to hit the right balance between factors s

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. The Role: Design the Learning. Set the Standard. Take the Stage. We're looking for a Senior Instructional Designer to join the team that shapes how Synthesia teaches the world to use Synthesia. This is Customer Education, not in-house enablement. You'll be joining a team of instructional designers who collectively own the part of the pipeline where quality is actually decided: needs analysis and learning design . You'll carry your own portfolio of work end-to-end — figuring out what learners genuinely need, deciding what to build (and what not to), and producing design blueprints sharp enough that our Knowledge & Enablement Specialists can develop and publish them without needing to guess. You'll stay close to the build, getting hands-on in development where it counts, but your leverage comes from the thinking that happens before anyone opens a timeline. You’ll be joining a team of ambitious instructional designers who will be your deep collaborators, sounding board and discussion partners. We work hard to avoid silos - collaboration is highly valued and built into out structure. This role is also the face and voice of our learning content . You'll facilitate live sessions and workshops for customers, and yo

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. At Micron, our Technology Development team sits at the center of innovation. We build advanced modeling and AI solutions that shape how memory and storage technologies are designed, built, and scaled. Working at the intersection of physics, data, and engineering, we turn complex problems into practical breakthroughs that matter! This role is critical to how we accelerate semiconductor technology development using advanced AI and physics-based modeling. You will lead the design and deployment of agentic and LLM-powered solutions that directly influence process technology, packaging, and early manufacturing decisions. If you enjoy driving hard problems end to end and collaborating across hardware and software teams, this role offers real impact and visibility. Note: We are hiring for more than one role spanning Senior/Staff/Principal/Technical Staff Engineer. Responsibilities: Design and deploy physics-based, ML, and LLM-powered modeling solutions for semiconductor process, package, and manufacturing workflows Architect agentic AI systems that integrate with modeling tools, design automation environments, and fab/test platforms to enable digital twin development Define and promote best known methods for deploying LLMs and agentic systems reliably in production environments Evaluate and improve model performance using methods such as structured benchmarking, prompt tuning, RLHF, and feedback loops Translate modeling results into clear insights through data storytelling and visualiza

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 a Senior Software Engineer on the Platform Core Automation team, you'll build the AI infrastructure and agentic systems that automate customer support and compliance operations at Coinbase. This team is reimagining what these processes look like when AI handles them end-to-end, replacing manual workflows with intelligent agents that resolve customer issues and execute compliance tasks autonomously. You'll own the design and delivery of LLM-powered systems, grounding techniques, and integration pipelines that directly reduce resolution times, cut costs, and improve accuracy across millions of customer interactions. What you’ll be doing (ie. job duties): Own the design and delivery of agentic AI systems that power Coinbase's customer support and compliance automation, from LLM orchestration through production deployment and monitoring. Build scalable, secure backend infrastructure in Python and Golang that serves AI workloads, including model integration pipelines, guardrails, grounding mechanisms, and measurement frameworks. Drive end-to-end project execution on complex AI initiatives, making technical trade-offs across latency, accuracy, cost, and reliability. Partner with Customer Experience, Compliance, and product engineering teams to identify high-impact automation opportunities and translate operational pain points into AI-powered solutions. Strengthen engine

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 Everpure is seeking a talented and experienced Agentic AI Software Engineer to join our dynamic team in Santa Clara, CA. In this role, you will build production-grade agentic AI solutions that drive enterprise automation and digital transformation. You will design and deploy LLM-based services , implement strong prompt engineering techniques, guardrails, and model evaluation frameworks, and ensure secure, scalable delivery on AWS. This role focuses on building reliable, secure, and observable AI systems integrated with enterprise platforms. WHAT YOU'LL DO Design and develop production-grade Agentic AI solutions using LLMs, multi-agent workflows, and RAG pipelines. Implement and refine Prompt Engineering strategies, including structured prompts, tool-calling, and agent orchestration to ensure reliable and deterministic AI behavior. Build secure backend services and REST APIs in Python, integrating AI agents with enterprise systems using microservices architecture. Establish robust guardrails, including output validation, fallback strategies, rate limiting, safe tool invocation, and human-in-the-loop patterns where appropriate. Develop and maintain model evaluation frameworks, including automated prompt testing, retrieval validation, regression testing, and performance benchmarking. Deploy and operate AI services on AWS, leveraging services such as EC2, S3, Lambda, RDS, and containerization using Docker and Kubernet