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About Graphcore Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure. You will develop essential tools and services that empower our broader software team. Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components. Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed systems. The Team An exciting opportunity to join a new team within the Software Operations group. The Build Engineering team is a new function within Software Infrastructure, which focuses on the overall process of building and integration of the Machine Learn ing S oftware S tack. You will work closely with the QA and development teams to get an understanding of how our ML SW stack is built, helping to ensure good build practices, and proving that the stack works together and is reproducible in secure, sandboxed environments. Responsibilities and Duties Developing our internal t

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team Over the past few years, development of LLMs has evolved at a rapid pace. It’s not enough for our customers to just “set it and forget it” when it comes to AI software. Truly successful AI Agents require hands-on execution, rigorous iteration, and deep technical delivery to reach enterprise-grade performance. We’re creating an Agent Deployment Engineering Org : a specialized technical delivery team responsible for end-to-end execution of AI agent builds. Agent Deployment Engineers own the hands-on work required to deliver best-in-class agents—writing and configuring key components, validating integrations, and ensuring agents perform reliably at scale. This team brings greater specialization and focus to build quality. Agent Deployment Engineers are technical and customer-facing: interfacing with senior technical stakeholders while going deep on agent configuration and build execution. About the Role As Director of Agent Deployment Engineering , you will lead Decagon’s technical deli

Front-End Manufacturing Engineering Production Supervisor — Taoyuan - Fab 11, Taiwan. Apply via Workday.

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role The Eval Platform team owns the simulation and evaluation and validation platform that underpins autonomy development and driverless readiness validation. This platform is mission‑critical for both rapid iteration during development and rigorous validation used to assess safety, performance, and deployment readiness. We are looking for a seasoned engineering leader to lead the Eval Platform as a Director‑level role. This leader will define the technical vision, execution strategy, and organizational structure for a multi‑disciplinary org spanning simulation, evaluation infrastructure, and compute and storage platform. The evaluation platform brings together data, simulation, metrics, and analysis workflows into a coherent system that allows the teams to: Iterate quickly to improve the autonomy performance Measure autonomy performance and risk with credibility and rigor Make confident, data‑driven decisions about driverless

This role is part of our Seobility team, one of our growing brands at saas.group. Seobility joined saas.group in 2022. The Seobility all-in-one SEO suite empowers businesses and marketers around the world to boost their website visibility with professional SEO tools. Starting in 2013 with a commitment to usability and actionable advice to make professional-grade SEO accessible, Seobility today has over 700,000 users and earned international awards along the way! Role Overview As the Head of Engineering at Seobility, you lead the technical heart of a mature, high-traffic SEO SaaS product. We've just completed a large relaunch of the platform last year — and are digging into the real work now: evolving what an SEO tool does as AI rewrites how people search and what they expect from software. In a rapidly changing market shaped by AI-driven search, you lead our organizational and technical evolution. Reporting directly to the CEO, you will bridge the gap between engineering challenges and business impact. You guide the team through a transformation toward greater autonomy and lead them towards outcome-focussed execution and AI-native engineering. We're a small, senior team — ambitious and driven, but we genuinely look out for each other. You'll find real scope to own and room to grow. Your Impact (First 3-6 Months) Build Trusting Partnerships: Establish deep working relationships with the engineering team and tech leads to foster our culture of psychological safety and high performance. Enable Distributed Ownership: Support the team in fostering ownership for outcomes. Guide the transition from functional (FE/BE) to end-to-end ownership. Optimize and Leverage: Partner with the team to resolve friction, bottlenecks and leverage AI potential. Implement a value-driven delivery flow with improved predictability and velocity. Strategic Roadmap: Start executing on a roadmap that balances the strategic transformation of our engineering (e.g. tech debt, AI-native engineering,

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 Reinforcement learning (RL) is how Claude learns to reason, write code, and act autonomously over long horizons. This role sits on the team that builds and owns the RL training system: the system that trains our production models and that researchers across Anthropic run their experiments on. The team works closely with research teams across the company on the science and engineering of making RL work at scale. As a Research Engineer on the team, you'll work at the center of RL at Anthropic. You'll have a direct view of how RL training behaves at the frontier because the system you own sits underneath both production and research runs. You will use it with collaborators across research teams to understand what is working, what is fragile, and where the next improvements are. Key responsibilities Build, own, and improve the core RL training system that serves Anthropic's production and research runs Work across the stack (orchestration, environments, training, inference, evaluation) wherever the system needs it Study how RL training behaves at scale and contribute to the research that improves it, in collaboration with teams across Anthropic Implement new training methods as stable, fast, well-tested code Improve the speed and efficiency of RL training and evaluation through profiling, optimization, and benchmarking Make the system easier for researchers to build on, through clean abstractions, clear APIs, and automated testing Debug hard problems across the stack, from a run that has quietly drifted to a distributed systems failure that only shows up at scale Communicate results clearly, in writing and in discussion Min

Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. The Opportunity As the Head of AI Platform Engineering at Postman, you will lead the alignment of AI development with our growing API platform. You will drive the AI roadmap with a focus on expanding AI-driven API collaboration and agentic capabilities across the platform. This role requires a leader who can identify market opportunities, coordinate cross-functional AI initiatives, and foster strong partnerships to amplify the Postman AI platform's impact What You’ll Do Lead the development and execution of Postman’s AI platform strategy, focused on API ecosystem growth and platform innovation. Drive the AI roadmap, concentrating on API integration, platform expansion, and AI-driven agent functionality. Identify and capitalize on market opportunities for AI-enhanced API collaboration and intelligent agent features. Collaborate closely with business units, product teams, engineering, and external partners to ensure alignment and successful AI initiatives deployment. Oversee implementation with core AI platforms (OpenAI, Anthropic, AWS, etc)), ensuring technical and strategic alignment with AI features and API lifecycle improvements.

Product Quality Engineering SMTS — Taichung - Fab 16, Taiwan. Apply via Workday.

SMTS/DMTS in Process Engineering — Taichung - Fab 16, Taiwan. Apply via Workday.

We are seeking a Software Developer , preferably with successful competitive programming experience, to join our dynamic team. You will join a team of intelligent, calm, and thoughtful teammates with a strong focus on detail and a passion for streamlining business procedures. The solutions developed by the team have a profound impact on the entire business, so we expect you to have good soft skills and be responsible. The position is characterized by fast feedback loops and very tangible results of work. WHAT YOU’LL BE DOING: Implementation of efficient trading algorithms, finding a balance between performance of the solution and ease of maintenance Close communication with the Quantitative Research team regarding technical tasks Write a lot of asynchronous, template, network and thread-safe code WHAT WE LOOK FOR IN YOU: Strong knowledge of data structures, algorithms, and a competitive programmIng background Experience with C or C++ Understanding of Linux system internals and networking Decent level of written and spoken English to work in an international environment NICE-TO-HAVE: In-depth knowledge and expertise with low latency/real-time development with sub-microsecond latency LockFree containers and thinking pattern Knowledge of CUDA WHY SHOULD YOU JOIN OUR TEAM? Great challenges with fast feedback loops A welcoming group of highly qualified international professionals Cutting-edge hardware and technology Work remotely from anywhere in the world Access any of our global offices anytime Flexible schedule 40 paid days off Competitive salary

SMTS/DMTS in Process Engineering — Taichung - Fab 16, Taiwan. Apply via Workday.

Join us at Zoox, where cutting-edge technology meets the open road. We are revolutionizing transportation and shaping the future of mobility, and as the leader of the Product Software organization, you’ll be at the forefront of our mission to redefine the way we live and travel. We’re seeking a dynamic and visionary leader to lead the development of our ride-hailing service, overseeing the software teams building our ride-hailing app, fleet management backend, operational tools, and in-vehicle experience. Your expertise in software development, iterative product strategy, and team leadership will be essential as we build and scale a world-class customer experience. In this role, you will: Strategic Vision: Develop and execute a comprehensive product strategy for our ride-hailing platform, ensuring alignment with Zoox’s overarching goals and the evolving demands of the market. Product Development: Lead the end-to-end development of the ride-hailing ecosystem, including the user-facing app, backend fleet management systems, operational tools for dispatch and fleet monitoring, and the in-vehicle user experience. Drive adoption of best software engineering and infrastructure automation practices to increase efficiency and streamline development processes. Cross-functional collaboration: Work closely with teams across engineering, product management, marketing, and fleet operations to ensure seamless integration and alignment on product objectives and deliverables. Leadership and Team Building: Attract, hire, and inspire a world-class engineering team, fostering a culture of innovation, collaboration, and excellence. Customer-Centric Approach: Advocate for the customer at every stage of product development, ensuring the ride hailing experience meets and exceeds user expectations. Define and monitor key metrics to track the success of the product, driving continuous improvement through data-driven insights. Qualifications <

Roles and Responsibilities- ? Write maintainable/scalable/efficient code. ? Work in a cross-functional team, collaborating with peers during the entire SDLC. ? Follow coding standards, unit testing etc. ? Follow release cycles and commitment to deadlines. Qualifications & Experience ? 1+ years of experience in large scale applications. ? Problem solving skills, data structures and algorithms. ? Experience with distributed systems handling huge data. ? Coding skills in Java/J2EE. ? Good understanding of Web Technologies. ? Good understanding of any RDBMS and/or messaging.

FE CPIE RDA Defect Engineering Snr Engineer/Principal Engineer — Taichung - Fab 16, Taiwan. Apply via Workday.

Software and Engineering Graduate Roles - HP Solutions (HPS) Description - T he following posting is a pipeline requisition, meant to accumulate candidates for 2026 & 2027 . Qualified applicants will be contacted in concert with the approval and publication of identical, approved positions within HP, Inc . HP occasionally offers work authorization sponsorship for critical need roles. However, this opportunity currently does not offer work authorization sponsorship and HP will not provide any assistance or sign documentation in support of immigration sponsorship including Optional Practical Training (OPT). About Us Innovation is in HP’s DNA. From our origins in a Palo Alto garage in 1939, to our current position as one of the world’s leading technology companies, HP has grown to become a leader in technology and corporate culture, inspiring innovators, and entrepreneurs around the globe. HP brings together a portfolio that spans printing, personal computing, software and services to serve more than 1 billion customers in over 170 countries. We are committed to fostering a diverse and inclusive workplace that attracts exceptional talent and to supporting our employees to succeed at all levels. We dream in over 35 languages and share one mission: to engineer experiences that amaze. The Program: Our future success depends on the innovation and fresh ideas you bring to HP, Inc. We are hiring students and new graduates with a diverse set of skills and experiences to join us, across the different organizations that make us HP, Inc. Our new grad program is intended to help you learn and grow at HP, give you an opportunity to make an impact, and work with leading edge technology. A