Production Tech in India

About us 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 Reporting to senior leadership within Architecture and Validation, the Power and Performance Validation Lead will drive validation strategy and execution for advanced AI compute silicon and systems. The role is responsible for leading power, thermal and performance validation activities across pre-silicon and post-silicon environments to ensure products meet efficiency, reliability and scalability expectations. This role combines deep technical expertise with people leadership responsibilities, including team development, prioritisation, mentoring and delivery coordination across multiple projects and stakeholders. The Team The Power and Performance Validation team sits within the Architecture and Validation organisation and is responsible for validating the performance, efficiency and thermal behaviour of Graphcore silicon and systems. The team supports the full product lifecycle, from early architectural modelling through to first silicon bring-up, characterization and production readiness. Engineers work closely with cross-functional teams globally to debug complex issues, optimize workloads and continuously imp

Principal Embedded SW/FW Engineer (Bringup) - Bengaluru, multiple vacancies Job Summary We have an exciting opportunity to be part of a collaborative, cross-functional development team validating cutting-edge, high-performance AI chips and platforms. You will play a key role in supporting new product introductions and post-silicon validation. Working within the Post-Silicon Validation team, you will be involved with bringing first silicon to life, functionally validating it and working closely with many other teams to help it become a fully characterised and working product, reporting project status/progress to program management on a regular basis. You will have the opportunity to provide technical guidance to other engineering team members. In this role, you can leverage our experience and industry knowledge to architect and drive implementation of continuous improvements to test infrastructure and processes. The Team The Post-Silicon Bringup team sits within the Architecture and Validation team, we are responsible for bringup and validation of new silicon when it returns from manufacture, enabling and supporting the production SW and FW teams to bring up their software and supporting the Silicon Characterisation team. Responsibilities and Duties Plan, design, develop and debug silicon validation tests in bare metal C/C++ on FPGA/Emulator prior to first silicon Deploy silicon validation tests on first silicon and debugging them Develop automated test framework and regression test suites in Python to optimize validation efficiency Collaborate closely with engineers from many other disciplines on a variety of topics Work with Validation and Production Test engineering peers to implement best practices and continuous improvements to test methodologies Analyse test results, identify and debug failures/defects Contribute to shared test and validation infrastructure Provide feedback to architects Candidate Profile Essential:

Staff Embedded SW/FW Engineer (Bringup) 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. Job Summary We have an exciting opportunity to be part of a collaborative, cross-functional development team developing C code used to validate cutting-edge, high-performance AI chips and platforms. You will play a critical role in supporting new product introductions and post-silicon validation. Working within the Post-Silicon Bringup team, you will be involved with bringing first silicon to life, developing code primarily in C to configure and exercise systems and sub-systems on new silicon devices, and working closely with many other teams to help it become a fully characterised and working product, reporting project status/progress to program management on a regular basis. You will have the opportunity to, and be responsible for, leading, mentoring, and providing technical guidance to other engineering team members. In this role, you can leverage your experience and industry knowledge to architect and drive implementation of continuous improvements to test infrastructure and processes. The Team The Post-Silicon Bringup team sits within the Architecture and Validation team, we are responsible for bringup and validation of new silicon when it returns from manufacture, enabling and supporting the production SW and FW teams to bring up their software and supporting the Silicon Characterisation team. Respons

Staff -Power and Performance Validation Engineer About us 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 Reporting to senior leadership within Architecture and Validation, the Power and Performance Validation Lead will drive validation strategy and execution for advanced AI compute silicon and systems. The role is responsible for leading power, thermal and performance validation activities across pre-silicon and post-silicon environments to ensure products meet efficiency, reliability and scalability expectations. This role requires strong technical expertise and collaboration across multiple engineering disciplines to deliver robust validation methodologies, scalable automation frameworks and actionable performance insights. The Team The Power and Performance Validation team sits within the Architecture and Validation organisation and is responsible for validating the performance, efficiency and thermal behaviour of Graphcore silicon and systems. The team supports the full product lifecycle, from early architectural modelling through to first silicon bring-up, characterization and production readiness. Engineers work closely with cross-functional teams globally to debu

Senior -Power and Performance Validation Engineer About us 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 Reporting to senior leadership within Architecture and Validation, the Power and Performance Validation Lead will drive validation strategy and execution for advanced AI compute silicon and systems. The role is responsible for leading power, thermal and performance validation activities across pre-silicon and post-silicon environments to ensure products meet efficiency, reliability and scalability expectations. This role requires strong technical expertise and collaboration across multiple engineering disciplines to deliver robust validation methodologies, scalable automation frameworks and actionable performance insights. The Team The Power and Performance Validation team sits within the Architecture and Validation organisation and is responsible for validating the performance, efficiency and thermal behaviour of Graphcore silicon and systems. The team supports the full product lifecycle, from early architectural modelling through to first silicon bring-up, characterization and production readiness. Engineers work closely with cross-functional teams globally to deb

Job Summary Reporting to the Memory Validation leadership team, the Senior Silicon DDR/HBM Validation Engineer will be responsible for the bring-up, validation, characterization and debug of advanced memory subsystems used in next-generation AI compute platforms. The role will focus on DDR and HBM technologies, working closely with silicon design, firmware, characterization, platform and systems teams to ensure robust memory subsystem functionality, performance and reliability. The successful candidate will take ownership of significant validation activities, contribute to debug and root-cause analysis efforts, and help improve validation methodologies, automation and infrastructure. The Team The Memory Validation team sits within the Validation organisation and is responsible for the bring-up, validation, characterization and debug of memory subsystems across Graphcore silicon and platform products. The team supports DDR and HBM validation activities throughout the product lifecycle, from first silicon through production readiness. Engineers work closely with architecture, RTL, firmware, characterization, systems and platform teams to ensure memory technologies meet functionality, performance, reliability and performance objectives. Responsibilities and Duties Execute validation and bring-up activities for DDR and HBM memory subsystems Verify memory bring-up software, firmware and scripts against defined project requirements Debug firmware, hardware and system-level issues and contribute to root-cause analysis activities Analyse system logs, validation data and characterization results to identify failures and performance issues Perform PHY characterization and analog-level analysis during stress testing and validation activities Develop and execute functional, stress, performance and corner-case validation tests Perform signal integrity, voltage, frequency and timing measurements using laboratory instrumentation Char

ABOUT THE UI DESIGNER ROLE: WIN is looking for a talented UI Designers to create modern, intuitive, and visually compelling digital experiences across our web and mobile products. You will work closely with Marketing, UX, Product, and Engineering teams to transform concepts, user flows, and product requirements into polished, functional interfaces. We are looking for someone who combines strong visual design fundamentals with curiosity and speed. You should enjoy experimenting with new ideas, embracing emerging design technologies, and using AI-powered tools to explore design directions, generate references, rapidly prototype concepts, and iterate faster. As we continue to build AI-enabled products and experiences, you will play an important role in defining how those experiences look, feel, and come to life for our users. KEY RESPONSIBILITIES: Design intuitive, visually compelling, and high-quality user interfaces for web and mobile products. Translate UX wireframes, user flows, product requirements, and concepts into polished UI designs and interactive prototypes. Create UI mockups, layouts, components, visual concepts, and prototypes that clearly communicate the intended product experience. Use AI-powered tools to generate design references, explore multiple creative directions, rapidly prototype ideas, and accelerate design iterations. Collaborate closely with UX Designers, Product Managers, and Engineers to take ideas from concept to production. Build and evolve reusable components, design systems, visual guidelines, and UI patterns to ensure consistency across products. Apply strong visual design principles across typography, hierarchy, spacing, color, imagery, and interaction states. Iterate rapidly based on product feedback, user insights, data, and technical considerations. Stay curious about emerging UI trends, AI tools, design technologies, and interaction patterns, and identify opportunities to incorporate them into our products. Maintain high standards

About Vercel: Vercel is the agentic infrastructure company. We free people and agents to ship what’s next. For more than a decade, Vercel has shaped how the web is built. As the team behind Next.js, v0, and AI SDK, we create products that help builders move from idea to production with speed, security, and exceptional developer experience. Now, software is entering a new era, and the next generation of products will not just be used by people. They will be built, extended, and operated by agents. We are building the platform for that future, trusted by companies like OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide . Whether you’re building our products, supporting our customers, growing our community, or shaping our story, you’ll help define what comes next. About the Role: Vercel is scaling fast, and we are building the financial infrastructure, controls, and operating discipline needed to support our continued growth and path to the public markets. We are looking for a SOX Manager based in India to serve as the India execution leader for Vercel’s SOX program, working in close partnership with our US-based SOX leader and the broader Finance organization. In this role, you will own key SOX execution workstreams across business process and IT controls, including walkthroughs, risk assessment, control design, testing, issue management, documentation, and audit coordination. You will partner closely with Finance, Accounting, IT, Security, Business Systems, Engineering, and external auditors to build a scalable, audit-ready control environment. You will bring strong judgment, hands-on audit experience, and a builder’s mindset to a function that is evolving quickly, helping shape how Vercel approaches controls in an AI-native, high-growth technology environment. This role will be Hybrid in the Delhi area three days a week on site. What You Will Do: Own key execution workstreams across business process, entity-level, and IT controls, implem

About Prophecy The leader in AI-native data preparation and analysis, Prophecy is revolutionizing how the world's top enterprises turn data chaos into reliable insights. We introduce the AI-native data lifecycle (generate, refine, deploy) where our industry leading AI agents and humans work hand-in-hand in visual and document interfaces to analyze, transform and prepare data, to ship trusted insights at enterprise scale. To learn more, visit us on LinkedIn. Position Summary This is an exceptional opportunity to be a technical leader on the team that powers the heart of Prophecy: the Runtime, our orchestration and execution service. Every data workflow , whether generated by our AI data agents or built by a human in the visual editor , is planned, scheduled, and run at enterprise scale by Runtime, directly against the customer's own platform (Databricks, Snowflake, BigQuery, and more). When a business user asks an agent a question and sees trusted results seconds later, Runtime is what made it happen. As a Staff Engineer, you will set the technical direction for this service: the distributed execution engine, the task coordinator, the multi-engine connectors, and the fast interactive previews that make the AI-native experience feel instant. You will own hard, ambiguous, high-leverage problems end-to-end , from architecture to production reliability , and raise the bar for the engineers around you. We're seeking A players to work with A players. We're a high-growth company on a once-in-a-lifetime journey to revolutionize the way data is prepared and analyzed. Be a part of it. The impact you will have Own the engine behind the product. Architect and evolve the runtime service that turns agent- and human-authored data workflows into high-performance jobs that run reliably in production and interactively during authoring. This is deep-tech at the center of the platform. Make it fast and make it scale. Design the distributed execution and task-coordination layer , schedul

Research Engineer, Applied AI Location: Bangalore (or throughout India remote-friendly with travel) About EnCharge AI: EnCharge AI is building the next generation AI platform. Our novel in-memory-computing architecture delivers a 10x step-function improvement in compute energy efficiency and performance for AI inference workloads. As the demands of artificial intelligence move beyond today's models, we believe fundamental underlying infrastructure must evolve. We are an experienced team of AI researchers, silicon & systems engineers, and architects backed by leading investors, poised to become the essential platform for the next wave of AI innovation. The Opportunity: Modern AI workloads—from large language models to diffusion-based generators to multimodal systems—represent some of the most compute-intensive frontiers in AI, and some of the most promising applications for our hardware’s energy efficiency advantages. We’re building a vertically integrated AI stack that will showcase the transformative potential of our silicon while delivering real value to customers today. We are seeking a Research Engineer to push the boundaries of AI model capability, quality, and efficiency. You’ll build fine-tuning and post training pipelines, develop rigorous benchmarking frameworks, and work at the intersection of ML research and hardware-aware optimization—ensuring our models run beautifully on our silicon. This is a role for someone who thrives at the boundary between research and engineering. You’ll read papers, implement techniques, and ship production-quality code—all in service of making AI inference faster, cheaper, and better. Key Responsibilities: Algorithmic Acceleration: Research and implement state-of-the-art techniques to accelerate AI inference—quantization, sparsity,

At Dscout, we’re building the most flexible and powerful UX research platform on the market—trusted by the world’s top brands in finance (JP Morgan Chase, Intuit, Charles Schwab, PayPal), healthcare (Aya, Headspace), consumer goods (Keen, Verizon, Target, Northface), and tech (Google, Amazon, Facebook, Meta, Spotify, AirBnB). Our tools help teams deeply understand the humans behind their products, so they can build better ones. We are expanding our smart and driven team and would love for you to join us. AI native product is fundamentally different engineering problem than building deterministic software: the same input won't always produce the same output, and "working" means the agent behaves well across the full distribution of real world scenarios, not that it passes a fixed test suite. We're looking for an Applied AI Engineer with 2-5 years of experience building and shipping AI systems used by professionals at enterprise. You're comfortable working with modern LLM-based systems and agentic workflows, and you know how to turn powerful models into reliable product features. You have strong product judgment and think deeply about tradeoffs between LLM approaches and traditional ML when designing solutions. You care about evaluation, iteration speed, and making sure AI systems actually drive measurable business impact reliably . What you'll do Own the production improvement loop across agent behavior, customer and operator feedback, evaluation, experimentation, and verified business outcomes Instrument agent workflows so model interactions, tool use, decisions, failures, human edits, and downstream outcomes can be understood in context Define meaningful quality standards, representative evaluation datasets, regression coverage, and production monitoring. Investigate why agents underperform across context, knowledge, instructions, tools, routing, guardrails, or workflow design Design and ship targeted behavior improvements, including changes to prompting, cont

At Dscout, we’re building the most flexible and powerful UX research platform on the market—trusted by the world’s top brands in finance (JP Morgan Chase, Intuit, Charles Schwab, PayPal), healthcare (Aya, Headspace), consumer goods (Keen, Verizon, Target, Northface), and tech (Google, Amazon, Facebook, Meta, Spotify, AirBnB). Our tools help teams deeply understand the humans behind their products, so they can build better ones. We are expanding our smart and driven team and would love for you to join us. We're looking for an AI Product Manager who brings the full standard PM toolkit — user research, market and competitive analysis, roadmap and strategy, cross-functional delivery, and strong collaboration instincts - and applies it to products where the model underneath doesn't behave the same way twice. You have a real, hands-on feel for what different LLMs are actually good and bad at, and you use that to prototype ideas yourself, sometimes shipping small, production-quality AI features directly. You default to ownership: of the roadmap, of outcomes, of the quality bar that decides whether something's actually ready to ship, and of what an agent should be trusted to do on its own versus when a human needs to stay in the loop. That's because building AI-native products means quality is a distribution, not a pass/fail — a feature can work correctly most of the time and still need a real answer for the failure tail, since the underlying system is non-deterministic, not just complex. What you'll do Lead the roadmap and strategy for your product area, from problem discovery through delivery and post-launch iteration Lead the evaluation bar for the model-powered surfaces you're responsible for: define eval sets, identify failure modes, and know the rollback plan before a change ships Prototype product ideas directly using your own understanding of model strengths and weaknesses, and ship small, production-quality AI features yourself when that's the fastest path to

Location Details: Remote, India At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join Our Team... This position is for a Staff Software Engineer within GoDaddy’s engineering organization, concentrating on developing scalable, fault-tolerant systems and promoting technical excellence across various teams and projects. As a Staff Software Engineer, you will serve as a technical leader at the division level. You will impact system design and architecture, as well as how engineering is carried out across teams. This position suits engineers who excel in uncertain environments, like tackling difficult technical problems, and can provide clarity, structure, and delivery for large projects. Our teams focus on greenfield and open-ended projects that require firm technical ownership, architectural vision, and collaboration across functions. You will assist in establishing engineering standards, support teams through mentoring, and create systems that boost reliability, scalability, and developer efficiency organization-wide. This role is important for encouraging innovation throughout the engineering organization. It includes promoting AI-assisted development workflows, modern cloud-native methods, and reusable platform features that speed up development across teams. What you'll get to do... Technical Execution & Delivery Lead delivery of complex engineering initiatives while driving predictable execution and long-term technical quality Architect and implement highly available, fault-tolerant distributed systems using AWS, PostgreSQL/Aurora, and MongoDB Architect and lead greenfield projects from concept to production, bringin

Location Details: Remote, India At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join our team... The Securities Analytics and Products Group is responsible for developing and maintaining sophisticated software solutions to safeguard GoDaddy's ecosystem. We are seeking a dedicated Senior Software Engineer with a strong background in software development and a keen focus on security. The ideal candidate will have proven hands-on experience in software development, with a consistent track record of working with the latest software technologies while prioritising security best practices. As a key member of our engineering team, you will play a crucial role in designing, developing, and implementing secure software solutions to protect our organisation from cyber threats. You will get to work with some of the brightest minds to build secure, highly available, fault-tolerant, and globally performant microservices-based platform deployed on the AWS cloud, using the newest technology stack. While the role is primarily backend-focused, you'll also get opportunities to contribute to frontend features as needed, giving you exposure across the full stack. What you'll get to do... Design, develop, and maintain secure, highly available, fault-tolerant, and globally performant code deployed on AWS cloud. Ensure code quality through extensive unit and integration testing Own frontend features and UI components across projects on an as-required cadence, from design through delivery Investigate and resolve production issues, ensuring your team's DevOps on-call responsibilities Contribute to the technical documentation, code reviews,

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. At Okta, our motto is "Always On" and nowhere do we embrace that more than in Technical Operations. We strive to build the most reliable and performant systems on the planet through the skillful use of automation. If you like to be challenged and have a passion for solving large-scale automation, testing, and tuning problems, we would love to hear from you. The ideal candidate is someone who exemplifies the ethics of, “If you have to do something more than once, automate it” and who can rapidly self-educate on new concepts and tools. You will work on: Leading the architecture, design and rollout of the internal developer platform which would span CI/CD, tooling, infrastructure as code (IAC) integrations as well as modernization efforts Enhance existing automation for fleet management and build new features as per the needs of the infrastructure platform Spearhead initiatives and projects that enhance engineer productivity by identifying and mitigating bottlenecks in the development flow Mentoring, managing, and leading a team of SWEs & SREs with a broad range of expertise and experience Triaging and troubleshooting complex production issues to ensure reliability and performance. Working closely with our stakeholders across the organization to ensure our new capabilities are aligned to our competing constraints of reliability, security, and delivery velocity Partnering directly with recruiting and people ops to hire and retain the best talent