Hardware Design Engineer in India

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We’re looking for a hands-on RTL Design Engineer to own the microarchitecture and RTL implementation of the Power Management Subsystem/Interrupt Controllers/AXI Interconnect/Cache Controller . You’ll collaborate with cross-functional teams—architecture, firmware, software, DV, and PD—to define, design, and optimize power management solutions for next-generation RISC-V/ARM-based SoCs. This role is hybrid, based out of Bangalore, India. We welcome candidates at various experience levels. During the interview process, you will beevaluated and offered a level that aligns with your experience, which may differ from the one in this posting. Who You Are 5–10 years of experience in ASIC/SOC/IP design, with hands-on experience in microarchitecture and RTL development Skilled in Verilog/SystemVerilog and comfortable working across design, debug, and analysis Design and develop microarchitectures for a set of highly configurable IPs Microarchitecture and RTL coding ensuring optimal performance, power, area Work with verification teams on assertions, test plans, debug, coverage, etc. Deep understanding of power management concepts—clocking, reset, DVFS, and low-power modes Familiar with RISC-V or ARM-based SoCs and standard bus protocols (AXI, AHB, APB, CHI) Awareness of functional safety (ISO 26262) practices in hardware design What We Need Abil

NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life’s work , to amplify human creativity and intelligence. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world! As a Formal Verification Engineer at NVIDIA, you will be responsible for formally verifying complex designs. NVIDIA has developed a strong functional formal verification methodology that not only enables hardware design and verification engineers to use lightweight FV tools and techniques successfully but also allows FV engineers to use advanced property proving techniques on complex and/or critical RTL logic. The job involves very close interaction with the design team, architecture team, with other validation teams, and with NVIDIA's internal FV R&D group that develops functional verification tools using formal verification technology. What you'll be doing: You will help decide on the best applications of formal verification techniques to various parts of the design. Review functional and micro-architectural specifications, define the scope for formal verification, and create high-quality formal verification testplans to sign-off on the corresponding design implementation. Build formal verification testbenches, code assertions and constraints, and apply abstra

Staff Engineer - SSD Hardware Design — Bengaluru, India. Apply via Workday.

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

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

About Us 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. Job Summary Working within the logical design team, the silicon logical design engineer is responsible for a wide range of logical design tasks. The team is responsible for delivering the Microarchitecture and RTL design to implement the chip architecture specification for Graphcore Silicon, working closely with other engineers within the Silicon team. The successful candidate will be responsible for helping the team deliver high quality micro-architecture and RTL for Graphcore chips, working within the logical design team and with the broader Silicon team to ensure we meet the company objectives for Silicon delivery. Responsibilities and Duties Integrate IP and subsystems into top-level SoC designs Develop and maintain build and configuration environments Perform synthesis, linting, CDC/RDC, and timing checks at the SoC level Support verification and physical design teams through clean interface hand-offs Debug and resolve integration-related issues across multiple hierarchies Contribute to the continuous improvement of integration flows and automation Producing high quality microarchitecture and other documentation Ensure good communication between sites to maintain consistent working practises Candidate Profile Essential skills: Logical design experience in relevant industry Experience range 8-12 years in Semiconductor Industry/Product development exposure. Be highly motivated, a self-starter, and a team player Ability to work across teams and debugging issues seen to find root cau

About Us 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. Job Summary Working within the logical design team, the silicon logical design engineer is responsible for a wide range of logical design tasks. The team is responsible for delivering the Microarchitecture and RTL design to implement the chip architecture specification for Graphcore Silicon, working closely with other engineers within the Silicon team. The successful candidate will be responsible for helping the team deliver high quality micro-architecture and RTL for Graphcore chips, working within the logical design team and with the broader Silicon team to ensure we meet the company objectives for Silicon delivery. Responsibilities and Duties Integrate IP and subsystems into top-level SoC designs Develop and maintain build and configuration environments Perform synthesis, linting, CDC/RDC, and timing checks at the SoC level Support verification and physical design teams through clean interface hand-offs Debug and resolve integration-related issues across multiple hierarchies Contribute to the continuous improvement of integration flows and automation Producing high quality microarchitecture and other documentation Ensure good communication between sites to maintain consistent working practises Candidate Profile Essential skills: Logical design experience in relevant industry Experience range 4-8 years in Semiconductor Industry/Product development exposure. Be highly motivated, a self-starter, and a team player Ability to work across teams and debugging issues seen to find root caus

IoT Hardware Engineer Build the Future of Smart Connected Devices Join our growing team as an IoT Hardware Engineer and work on exciting IoT solutions that combine electronics, embedded systems, and smart technologies. We are looking for a passionate, hands-on engineer who enjoys designing, building, testing, and improving real-world connected devices. Key Responsibilities: Design, develop, and prototype IoT devices using ESP32 microcontrollers. Develop and integrate firmware, hardware components, and embedded systems. Select and evaluate sensors, actuators, communication modules, and electronic components for IoT applications. Participate in hardware design reviews and product improvement discussions. Assemble, test, and debug electronic prototypes for performance and reliability. Troubleshoot hardware and software issues using professional debugging techniques. Required Skills & Experience: ITI, Diploma in IT Hardware Engineering, Computer Engineering, Electronics, or related field (highly preferred). Strong experience in programming and working with microcontrollers, especially ESP32. Experience with embedded platforms such as ESP32, STM, and similar systems. Knowledge of sensor interfacing using I2C, SPI, UART, and other communication protocols. Excellent PCB soldering skills and experience building complex electronic prototypes. Strong understanding of electronics fundamentals including resistors, voltage levels, power management, and circuit design. Ability to use testing tools such as oscilloscopes and logic analyzers for debugging circuits. Preferred Skills: Experience with KiCad or other hardware design tools. Knowledge of low-power design techniques for battery-operated IoT devices. Understanding of power optimization and embedded system efficiency. Familiarity with Agile development methodologies. Who We’re Looking For: A creative and skilled IoT enthusiast who loves turning ideas into working hardware products. If you enjoy experimenting with e

Toradex is a global company strongly focused on engineering & technology. We’re powered by a diverse & uniquely gifted workforce. We pursue the best people to propel our innovative vision of embedded computing and IoT. If you’re interested in being a driving force at an agile technology company, engineering clever computing solutions & helping other companies bring their products to life, we should talk. About the Role We are looking for a technically strong and customer-focused Field Applications Engineer (FAE) to join our team in India. The ideal candidate will act as a key technical interface between customers, sales, and internal engineering teams, supporting customers throughout the complete product development lifecycle—from initial requirements gathering and solution definition through development, validation, and delivery. The role requires a strong combination of embedded hardware and software knowledge, customer-facing skills, problem-solving ability, and business awareness. The successful candidate will work closely with customers to understand their technical challenges, recommend suitable solutions, and help drive successful adoption of our products and technologies in the Indian market. Key Responsibilities Take technical ownership of customer-driven projects, supporting the complete development lifecycle from requirements gathering and solution definition through development, validation, and delivery. Act as the primary technical interface between customers, sales teams, and internal engineering/development teams to ensure successful project execution. Work closely with customers in India to provide hardware and software design support, technical guidance, and application-level assistance based on their specific requirements. Understand customer applications and system requirements and recommend appropriate products, technologies, and system architectures. Support customers during product evaluation, prototyping, development, testing, and

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. Senior Mechanical Engineer — Robotics Hardware Location - Bangalore Instawork Robotics Labs is building Instacore, our proprietary five-camera and IMU wearable capture rig. Hundreds of units operate across India every day, collecting real-world data used to train frontier Physical AI models. We are looking for a senior, mechanically focused engineer to own the complete hardware lifecycle for Instacore and future hardware products. This person will independently lead design, prototyping, manufacturing, testing, deployment, logistics, maintenance, and continuous improvement. What you’ll do - Own the mechanical design and development of Instacore and other robotics hardware from initial requirements through production and field deployment. - Create detailed CAD models, assemblies, engineering drawings, bills of materials, and manufacturing documentation. - Rapidly prototype and validate designs using 3D printing, machining, fabrication, and off-the-shelf components. - Design durable mounts, enclosures, fixtures, wearable components, packaging, and protective systems. - Own design for manufacturability, assembly, serviceability, reliability, and cost. - Improve cable routing, connector retention, strain relief, thermal management, ingress protection, and resistance to vibration and impact. - Design packaging and logistics processes that prevent damage during storage and transit. - Establish verification, stress-testing, quality-control, and acceptance-testing procedures. - Investigate field failures, d

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, we are tapping into the unlimited potential of AI to define the next era of computing. As an NVIDIAN, you will address challenges spanning architecture, silicon, firmware, software, and production — and excellent judgment matters as much as technical depth! Every major NVIDIA silicon product family—from the chips powering AI and datacentre systems to gaming, professional, embedded, and automotive platforms—passes through our productization work on its way to production. NVIDIA’s Silicon Co-Design Productization team works from pre-silicon strategy and feature development through bring-up, characterization, correlation, and optimization. Our charter spans power & performance modelling, bring up & tuning of low-power features, power & thermal controllers , and system-level optimization that ultimately shape how NVIDIA products are configured, binned, specified, and shipped. What you'll be doing Drive silicon power productization from pre-silicon planning through bring-up and production, including test strategy, feature readiness, characterization, and optimization. Partner with architecture and design teams to identify improvements, validate features, and help translate them into production-ready solutions. Correlate measured silicon behaviour with pre-silicon expectations, investigate gaps, and drive complex issues to root cause. Build power and performance models and characterization methodologies that decide silicon binning, product specifications, productization decisions, and customer guidance. Use AI/ML and data-driven methods to analyse characterization & telemetry data, identify anomalies & trends , and accelerate issue debug across silicon, board, power delivery, firmware,

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 As a Hardware Manufacturing Test Engineer at Everpure, you will spearhead manufacturing test enablement for our next-generation enterprise hardware platforms from New Product Introduction (NPI) through high-volume production ramp. Operating with high autonomy, you will design robust test strategies and collaborate cross-functionally with Firmware, Diagnostics, and global factory teams to deliver market-ready, high-yield hardware infrastructure. Your expertise will directly optimize manufacturing throughput, improve release quality, and accelerate the global deployment of the industry-defining Everpure Platform. WHAT YOU'LL DO Own NPI & Sustaining Test Readiness: Drive end-to-end manufacturing test strategy, test sequence definition, and coverage validation for multiple hardware infrastructure variants to ensure seamless factory execution and build readiness. Lead Debug & Yield Optimization: Independently lead technical triage and resolve complex system-level test fallout during critical build phases, analyzing failure paretos to isolate root causes across hardware, firmware, and test infrastructure. Scale Test Architecture & Frameworks: Enhance and standardize the Design for Manufacturing (DFM) hardware test architecture by deploying reusable automation frameworks and consolidating test execution into shared platforms to minimize factory cycle times. Drive Vendor & Cross-Functional Alignment: Colla

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems. Senior Emulation Engineer Location: India - Remote Job Description: At EnCharge AI, we are building the next generation of AI compute silicon — purpose-built for high-performance, low-power, and scalable AI inference. As an Emulation Engineer, you will play a critical role in validating complex AI accelerator architectures on emulation platforms before tape-out. This position is ideal for someone passionate about bridging the gap between hardware and software in fast-paced, deep tech environments. Responsibilities: • Set up and maintain Siemens Veloce emulation and prototyping platforms • Adapt SoC designs for Emulation and Prototyping • Develop and debug emulation testbenches and system-level environments • Support pre-silicon validation, power/performance analysis, and early software bring-up. Participate in silicon bring-up and validation. • Collaborate with design and verification teams to isolate design issues and accelerate debug. • Optimize performance of the emulation workloads and reduce turnaround time. • Work with firmware/software teams to enable use of emulators for OS and driver testing. Required Background: • BS/MS/Ph.D. in EE, CS, or related field with 7+ years of SoC design experience. • Experience with emulation platforms (Veloce, Palladium, or ZeBu) and FPGA-based prototyping systems (proFPGA, HAPS, or Protium) • Experience with emula

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems. About the Role EnCharge AI is seeking a highly skilled and experienced AI Compiler Engineer to spearhead the efforts in developing and optimizing graph compilers tailored to cutting-edge AI and ML workloads. You will collaborate with hardware architects, and AI researchers to enhance performance, optimize computation graphs, and enable efficient model deployment on EnCharge’s Inference Accelerators. Responsibilities Architect, design, and implement optimizations for AI model execution on graph compilers to improve performance, reduce latency, and maximize hardware utilization. Work closely with ML researchers, hardware engineers, and software developers to design and deploy AI models, understanding and addressing hardware-specific challenges. Work on performance optimizations for neural network models, such as layer fusion, operator fusion, and graph-level transformations. Develop compiler optimizations and passes that convert high-level AI models (e.g., from TensorFlow, PyTorch) into intermediate representations (IR). Implement parsing, semantic analysis, and IR generation for deep learning frameworks. Research and integrate the latest advancements in compiler design, ML model optimizations, and hardware acceleration into graph compilers. Provide leadership, mentorship, and technical guidance to a team of engineers focused on graph compiler optimizations. Qual

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