Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. 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. We are opening a new AI Engineering Campus in Bengaluru which will play a central role in Graphcore's work building the future of AI computing. The physical design team sits within the wider silicon design team which includes RTL, verification and DFT. Our work also involves strong links with architecture, packaging and product engineering. We are responsible for working with those teams to create high-quality RTL and building the final chip layout (e.g. GDSII) ensuring a signoff-quality design is delivered to the Foundry (e.g. TSMC). We are looking to hire high-quality silicon physical design engineers to join our team. The successful candidate will support the team with achieving our goals and creating the right engineering solutions. We are a collaborative team and good communication is essential, as is the ability to adapt and learn. For the successful candidate we offer an open, honest and collaborative environment working on leading-edge designs at the most advanced nodes. Our engineers are not siloed, and they are trusted and encouraged to ta ke ownership of their designs and problem solutions. You will be part of a team that looks for improvements to everything we do: our designs, our flows, our methodologies, our infrastructure. Responsibilities and Duties Applicants will be expected to contribute technically to the development of Graphcore's next generation of AI superchips, focusing on achieving robust, high-performance and power-efficient designs
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Physical Security Manager in Bengaluru
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Silicon Physical Design Engineer Multiple roles across different levels Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. 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. We are opening a new AI Engineering Campus in Bengaluru which will play a central role in Graphcore's work building the future of AI computing. The physical design team sits within the wider silicon design team which includes RTL, verification and DFT. Our work also involves strong links with architecture, packaging and product engineering. We are responsible for working with those teams to create high-quality RTL and building the final chip layout (e.g. GDSII) ensuring a signoff-quality design is delivered to the Foundry (e.g. TSMC). We are looking to hire high-quality silicon physical design engineers to join our team. The successful candidate will support the team with achieving our goals and creating the right engineering solutions. We are a collaborative team and good communication is essential, as is the ability to adapt and learn. For the successful candidate we offer an open, honest and collaborative environment working on leading-edge designs at the most advanced nodes. Our engineers are not siloed, and they are trusted and encouraged to ta ke ownership of their designs and problem solutions. You will be part of a team that looks for improvements to everything we do: our designs, our flows, our methodologies, our infrastructure. Responsibilities and Duties Applicants will be expected to contribute technically to the development of Graphcore's next generation of AI superchips, fo
Physical Design Engineer ICE — India, Bangalore. Apply via Workday.
CPU Physical Design Engineer — India, Bangalore. Apply via Workday.
Staff Engineer - ASIC Physical Design — Bengaluru, India. Apply via Workday.
From ₹3.2L/yr
Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. Be part of a cutting-edge AI data collection project, capturing real-world actions and annotating video footage to train next-generation robotics. 📍 Location: Marathalli, Bengaluru 📍Shift: Night Shift Options: 8:30 PM – 3:00 AM | 9:00 PM – 6:00 AM 📍 Salary: ₹27,000/month + Incentives 📍 Work Location: Kitchen / In-Office Setup About the Role We are looking for motivated individuals to join our night shift data collection team for an AI robotics project. As a Data Collector & Annotator, you will record structured video footage of real-world tasks and annotate the recordings to help train robotic systems. This role operates across two night shift environments — a kitchen setup and an in-office setup — depending on your assigned location. Your shift and location will be confirmed at the time of onboarding. No prior experience in AI or technology is required. Full training is provided before you begin work. Key Responsibilities • Record structured video footage of assigned tasks using a camera device (iPhone on chest mount) • Follow the prescribed annotation format — clearly stating task names, commands, and action sequences during recording • Perform physical actions accurately as per the task list assigned for the shift • Submit demo recordings within the designated time window for quality review • Maintain consistent quality standards as trained — script compliance, action accuracy, and environment setup • Follow guidance from the Supervisor and Trainer during the shif
From ₹3L/yr
Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. Be part of a cutting-edge AI data collection project, capturing real-world actions and annotating video footage to train next-generation robotics. 📍Location: Marathalli, Bengaluru 📍 Shift: Morning: 6:00 AM– 2:30 PM | 📍Evening: 1:00 PM – 8:00 PM 📍 Salary: ₹25,000/month +Incentives 📍 Work Location: Airbnb / Kitchen Setup About the Role We are looking for motivated individuals to join our data collection team for an AI robotics project. As a Data Collector & Annotator, you will record structured video footage of real-world tasks and annotate the recordings to help train robotic systems. This role operates across two environments — household setups (Airbnb locations) and a kitchen setup — depending on your assigned location. Your shift and location will be confirmed at the time of onboarding. No prior experience in AI or technology is required. Full training is provided before you begin work. Key Responsibilities • Record structured video footage of assigned tasks using a camera device (iPhone on chest mount) • Follow the prescribed annotation format — clearly stating task names, commands, and action sequences during recording • Perform physical actions accurately as per the task list assigned for the shift • Submit demo recordings within the designated time window for quality review • Maintain consistent quality standards as trained — script compliance, action accuracy, and environment setup • Follow guidance from the Supervisor, Trainer, and Live QA during the shift • Complete the s
We are looking for a talented Senior System Software Engineer to help build NVIDIA Halos, our full-stack safety critical platform for physical AI: autonomous vehicles, humanoids, industrial robots, and intelligent machines that sense, decide, and act in the real world. This role is equally grounded in ISO 26262 functional safety engineering and embedded systems, rich operating systems, virtualization, accelerated computing. If you have a good understanding of System Software development on Real Time OS (RTOS), ARM architecture, Virtualization, and experience with ISO 26262 safety lifecycle, we want to hear from you! We are a leading artificial intelligence computing company and are paving the way with innovations in gaming, visualization, supercomputing, and autonomous vehicle and robotics safety platforms. NVIDIA gives automakers, tier-1 suppliers, automotive research institutions, and startups the power and flexibility to develop and deploy breakthrough artificial intelligence systems for autonomous vehicles. Our unified computing architecture makes it possible to train deep neural networks in the data center on the NVIDIA DGX™, and then seamlessly run them on NVIDIA's Halos platform inside the vehicle. Leading vehicle manufacturers, tier 1 suppliers, mapping and simulation companies, software and sensor providers, and startups around the world are developing on the NVIDIA Halos® platform to deliver the best solutions for the new world of mobility. As a System Software Engineer, you will get an opportunity to work on high-performance NVIDIA edge AI platforms running complex mixed-criticality software stacks across QNX, Linux, hypervisors, safety partitions, accelerators, and real-time AI workloads, and work alongside industry experts in diverse teams and projects. <
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. Senior UX Researcher Role Located out of: Bengaluru, Karnataka, India The Overview At Okta, we’re building a world where anyone can safely use any technology, and we’re specifically focused on protecting the future of work. We bring simple and secure access to people and organizations everywhere, promising to not only protect the identities of our workforce and users but to ask, “what more can we make possible?” As a Senior UX Researcher at Okta India, you will join a globally distributed research and design team, shaping customer experiences across the Access Management ecosystem. Your mission is to secure workforce access right from physical device bootup delivering frictionless, phishing resistant, and passwordless authentication across macOS, Windows,Linux, iOS, and Android platforms. In this role, you will lead end to end research initiatives, translating ambiguous product questions into actionable insights that directly influence long term strategy and near term product decisions across global Engineering, Product, and Design (EPD) teams. Finer Print You will join an AI first team of researchers and designers supported by leadership who fosters high autonomy, deep ownership, and a strong culture of craft. As part of Okta’s centralized Design & Research organization in Bengaluru, you will act as a key research anchor, working closely with cross functional partners in both India and the US to define problems, explore solutions, and drive impact. You
Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. Location : Bengaluru (On-site) + multi-city coordination Instawork Robotics Lab (IRL) Robots are getting smarter, but they still can’t reliably do the everyday physical tasks people do — chopping vegetables, stocking shelves, assembling parts. The bottleneck is data. UC Berkeley’s Prof. Ken Goldberg calls it the “100,000-year data gap”: the chasm between the massive text datasets used to train language models and the tiny amount of real-world, physical-dexterity data available to train robots. The entire robotics industry collected only ~100,000 hours of training data in 2024 and ~1 million in 2025 — and even the ~20 million hours projected for 2026 is still less than 0.04% of what is ultimately needed. IRL exists to close that gap. Using Instacore — a wearable multi-camera and sensor system (head, chest, and wrist cameras plus IMUs and a compute pack) — our field teams capture synchronized, high-diversity egocentric data of real people doing real tasks across real commercial environments: kitchens, warehouses, hotels, retail, and light manufacturing. That data is quality-checked, anonymized, and delivered to the world’s leading robotics companies and foundation-model labs to teach robots how to operate in the messy physical world. In India, we run the on-ground engine of this mission — a growing fleet of Instacore rigs, Field Officers and Data Collectors, regional hubs, and the operations and finance backbone that keeps it
Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. Instawork Robotics Lab (IRL) Robots are getting smarter, but they still can’t reliably do the everyday physical tasks people do — chopping vegetables, stocking shelves, assembling parts. The bottleneck is data. UC Berkeley’s Prof. Ken Goldberg calls it the “100,000-year data gap”: the chasm between the massive text datasets used to train language models and the tiny amount of real-world, physical-dexterity data available to train robots. The entire robotics industry collected only ~100,000 hours of training data in 2024 and ~1 million in 2025 — and even the ~20 million hours projected for 2026 is still less than 0.04% of what is ultimately needed. IRL exists to close that gap. Using Instacore — a wearable multi-camera and sensor system (head, chest, and wrist cameras plus IMUs and a compute pack) — our field teams capture synchronized, high-diversity egocentric data of real people doing real tasks across real commercial environments: kitchens, warehouses, hotels, retail, and light manufacturing. That data is quality-checked, anonymized, and delivered to the world’s leading robotics companies and foundation-model labs to teach robots how to operate in the messy physical world. In India, we run the on-ground engine of this mission — a growing fleet of Instacore rigs, Field Officers and Data Collectors, regional hubs, and the operations and finance backbone that keeps it all running at quality and scale. Role Overview The Finance Associat
Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. About IRL (Instawork Robotics Labs) Researchers at UC Berkeley have identified a “100,000-year data gap” — the gulf between what trained AI language models and what physical robots actually have to learn from. Closing that gap is the defining infrastructure challenge of the physical AI era. IRL is Instawork’s answer to it. We deploy skilled workers into real commercial and residential environments — kitchens, warehouses, hotel floors, homes — to capture the high-fidelity task data that the world’s leading Robotics labs use to train their foundation models. Read more [ here ] What You'll Do Design and deliver on a learning curriculum for the Operations team that aligns with Instawork’s business objectives and scales with a growing organization; coordinate and administer training Develop a comprehensive onboarding program that encourages new team members to provide premier support for Instawork’s customers and internal stakeholders, as well as prepare them for an intensive operational role managing high volume and nuanced customer requests Collaborate with management to create training plans, develop training modules, and facilitate real-time training for Operations new hires and continuing education for tenured specialists Manage the efficacy of new hire onboarding through continuous process planning, execution, and identifying metrics for the Operations learning curriculum Establish methods for measuring and reporting on learner engagement, comprehension, and practical application Provide con
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. ASIC IP STA Engineer (6-10 Years) | DDR PHY / ONFI PHY / IO Expander Location: Bengaluru, India Experience: 6-10 Years Enducational Qualification : BE/B-Tech/M-Tech (EEE, ECE, Micron Electronics, VLSI) Key Requirements Member of the AMS IP Physical Design team , responsible for post-layout STA signoff and timing closure of high-speed interface IPs, with close collaboration across IP Design, SoC Synthesis, and SoC Physical Design teams throughout IP development and SoC integration. 6-10 years of experience in Static Timing Analysis (STA) with a proven track record of 4 + successful tapeouts . Strong hands-on expertise with Cadence Tempus (preferred). In-depth experience in MMMC timing analysis and closure across functional, scan, MBIST, and other DFT modes. Experience working on high-speed Memory Interface IPs such as DDR PHY, ONFI PHY, IO Expander (IOE) , or similar high-performance interface designs. Strong understanding of timing constraints development, validation, and debug , including clocks, generated clocks, timing exceptions, and mode-specific constraints. Experience in Liberty (.lib) and ETM timing model generation, validation, correlation, and quality assessment . <span
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 Drive the quality strategy for our innovative enterprise storage platform, ensuring zero-downtime resilience across physical hardware and cloud environments like Cloud Block Store and CloudSnap. In this engineering leadership role, you will scale systems testing, feature interoperability, and test automation for mission-critical global applications. Partnering directly with cross-functional development, support, and escalation teams, you will champion a customer-first quality model. This position elevates overall product reliability while shaping how cutting-edge software resilience is delivered at scale. WHAT YOU'LL DO Define & Execute Quality Strategy: Own end-to-end system test designs with a focus on large-scale feature interoperability to guarantee zero-downtime performance across enterprise and cloud environments. Build High-Impact Automation & Tooling: Design and deploy automated test workflows and triage tooling to accelerate defect detection, drastically reducing execution friction across thousands of automated test suites. Simulate Real-World Customer Workflows: Replicate complex customer deployment architectures to validate real-world fault tolerance and overall resilience against failure domains. Drive Root-Cause Resolution: Partner directly with escalation and support engineering teams to analyze and resolve complex defects, utilizing customer feedback loops to eliminate quality gaps. Lead Agi
Silicon Verification Engineer Multiple roles across different levels Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. 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. We are opening a new AI Engineering Campus in Bengaluru which will play a central role in Graphcore's work building the future of AI computing. The verification team sits within the Silicon design team and is responsible for ensuring that the RTL created by the logical design team and used by the physical design team matches the architecture specification for Graphcore silicon. The silicon verification engineer is responsible for verification activities within Graphcore, helping the team meet the company objectives for quality silicon delivery. Responsibilities Verification planning, specification and closure of functional coverage Providing feedback to architects Test generation and failure diagnosis/triage Contributing to shared verification infrastructure Ensuring good communication between sites Essential skills: • Verification experience in relevant industry • Proven leadership and planning skills • Highly motivated, a self starter, and a team player • Ability to work across teams and programming languages to find root causes of deep and complex issues • Experience of the verification process applied in CPU and/or ASIC environments • System Verilog, Python, C++, Linux Desirable skills: • UVM • SVA • Assembly languages • LLVM, GCC • DVCS e.g. Git • SGE or other DRMS • XML and XPath/XSLT • Web programming – HTML/DOM, Javascript, SQL Benefits: In addition to a competitive salary, Graphcore offers a competitive benefit
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