Soc Compute Memory Subsystem Architect Jobs

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. Job Title: Staff/ Senior Staff Physical Design Engineer (Technical Lead) Experience: Staff 8-10 years Senior Staff 11-13 years Location: Bangalore Hybrid/Remote or Remote in India The Role We are seeking a high-impact Staff/ Senior Staff Physical Design Engineer to serve as a Technical Lead for our next-generation silicon products. This is a "player-coach" role designed for a versatile expert who is equally comfortable architecting a convergence strategy as they are mentoring a small team of engineers. You will own the physical delivery of a major sub-chip or complex block, pushing the absolute limits of PPA (Power, Performance, Area) . As a Staff/Senior Staff lead, you are expected to be the "anchor" of the project—assertive in your decision-making, highly analytical in your debugging, and adept at managing stakeholders to ensure we hit our tape-out milestones without compromise. Key Responsibilities Technical Leadership: Lead a small team of PD engineers, providing technical direction, workload management, and architectural oversight for a sub-chip or partition. SOC clocking , FEV/VCLP specialized skills are preferred. Complex Block/Sub-chip Ownership: Take personal hands-on ownership of the most critical, high-congestion, or timing-critical blocks in the desi

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. Develop test plans at SOC Level and analyze Coverage. Build verification environments to verify complex SOCs. Develop Random/Directed test in RTL and GLS environments. Review architectural specifications to ensure high quality. Work with customers to understand their verification and validation requirements and provide the necessary collateral. Engage with customers to support issues with current HBM architectures and find opportunities to innovate on future HBM solutions. Work with IP suppliers to ensure that proper verification and validation collaterals are provided. Identify and flag quality issues, performance problems, and opportunities to reduce power consumption. Debug and identify root causes and solutions for pre-silicon and post-silicon issues encountered in current HBM products and architectures. Employer will accept a Bachelor’s degree in Electrical and Computer Engineering, or related field and 3 years of experience in the job offered or in a related occupation. Position requires: 1. SoC or IP verification; 2. Writing tests and developing verification environments using System Verilog and UVM; 3. Building verification environments or validating complex SOCs; 4. Working with IP vendors and verifying IP integration; 5. Gate-level simulation (GLS); 6. Python; 7. UCIE, memory controller, NOCs, MBIST, or ATPG scan controllers; and 8. DRAM operation and JEDEC specifications such as HBM product family. <p

Computer Systems Engineer – Space Payload Emulators – (Experienced or Lead) Company: The Boeing Company Boeing Defense, Space, & Security (BDS) is seeking Computer Systems Engineer – Space Payload Emulators to join the team located in El Segundo, California . As a Computer Systems Engineer , you will support the development and integration of space payload emulators in El Segundo, CA. In support of Boeing Defense Systems next-generation space programs, this role focuses on hands-on hardware/software development for embedded systems (Xilinx SoC/FPGA) and front-end UI/UX control interfaces. This position is tailored for an engineer who thrives in a hands-on lab environment , working side-by-side with multidisciplinary teams (hardware, firmware, software, and test engineers) to bring up hardware, integrate software/logic, and build intuitive emulator interfaces. Position Responsibilities: Embedded Software & FPGA Platform Integration Develop, configure, and maintain embedded software and firmware on Xilinx SoC platforms (Zynq UltraScale&#43;, Versal). Implement and debug Processing System to Programmable Logic (PS/PL) interfaces, AXI interconnects, and memory maps. Develop and validate Board Support Packages (BSP), PetaLinux/embedded Linux distributions, device drivers, and low-level communication interfaces (PCIe, Ethernet, SPI, I2C, UART). Lead hands-on board bring-up, hardware/software integration, and system-level debugging in a lab environment using oscilloscopes, logic analyzers, and protocol analyzers. Front-End GUI & Operator Interface Development Design and implement responsive, reliable front-end graphical user interfa

About the job Shape the SoC architecture behind Graphcore’s next generation AI acceleration platforms. Graphcore is building AI compute systems that push far beyond a single chip. As a SoC Architect, you will define, specify and integrate critical subsystems for complex silicon devices. You will work across processor, SoC and system architecture to turn product requirements into practical design choices. Your work will influence performance, integration, modelling, validation and bring-up. This role is for someone who enjoys deep technical ownership and broad system context. You will help Graphcore deliver multiple AI silicon projects in parallel, at real scale. You will work on interfaces, interconnects and SoC subsystems that sit at the centre of advanced AI platforms. The problems are complex, visible and difficult to find elsewhere. The team and culture The Silicon Architecture team sits at the point where product ambition becomes silicon reality. Architects work closely with design, verification, hardware, software and systems teams. The team is growing because the scope is expanding. You will own meaningful technical areas, move quickly on decisions and keep momentum across groups. Ideas are tested through modelling, specification, discussion and evidence. People are expected to speak up, take responsibility and help others move faster. What we're looking for · Strong understanding of computer architecture, SoC architecture or complex silicon systems · Experience writing clear technical specifications for engineering teams · Knowledge of RTL development, verification processes or logical design · Ability to work across architecture, design, verification, hardware and software teams · Domain knowledge in areas such as PCIe, DDR, LPDDR, Ethernet or on-chip networks · Motivation to take ownership, mentor others and drive practical decisions Benefits Flexible working: Balance your work and personal life with great

About Graphcore At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary Our team is at the forefront of the artificial intelligence revolution, enabling innovators from all industries and sectors to expand human potential with technology. The availability of specialised artificial intelligence compute will be a decisive factor in AI’s rate of progress. Graphcore allows innovators to go further, faster. What we do really makes a difference. Reporting to the Director of Silicon Architecture, the SoC Architects are responsible for the design, specification, modelling and integration of sub-systems within complex, high performance and highly integrated silicon devices at the forefront of AI acceleration technology. The role involves close collaboration with other groups, including architecture, silicon design, verification, hardware and software teams. The Team The Silicon Architecture Team sits within the COO group. The SoC architects are responsible for the architectural specification, integration, modelling, validation and evaluation of numerous critical&nb

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. The Role: We are developing the next generation of AI compute, a large-scale system-on-chip (SoC) designed to power future high-performance AI systems. As the SoC Validation Lead, you will be responsible for enabling pre-production software to run reliably on new silicon quickly and efficiently, before showing that the silicon meets the highest standards of quality, reliability and functionality, ready for production deployment. You will lead a team delivering post-silicon validation across the full AI SoC, working across silicon, firmware, and platform levels. The role requires a deep technical understanding, strong hands-on debug experience, and the ability to collaborate effectively with hardware, software, and systems engineering teams. Responsibilities: Define and lead post-silicon validation strategy Develop and refine the overall post-silicon validation approach for our AI SoCs, ensuring reliable and timely delivery of validated silicon, architectural correctness, feature robustness, and at-scale system reliability. Drive cross-domain debug and issue resol

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 are looking for a Sr. Staff Design Verification Engineer to lead end-to-end verification efforts for our advanced CPU and AI compute platforms. This role is ideal for seasoned engineers with deep expertise in CPU verification who excel at driving complex test plans to closure, mentoring teams, and leveraging modern AI tools to accelerate innovation. This role is hybrid, based out of Boston, Toronto, Ottawa or Santa Clara. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are Proven track record leading end-to-end CPU verification across processor cores, caches, interconnects, interrupts, MMU/IOMMU, and cache coherency protocols, with multi-chip and emulation experience a plus. Expert in creating comprehensive test plans and building simulation testbenches using SV-UVM, C/DPI, and Cocotb. Skilled in managing high-volume regression execution, complex failure triage, and driving test plans and coverage metrics to closure. Experienced leader and mentor dedicated to guiding junior engineers and fostering verification best practices across teams. Proficient in leveraging modern AI tools like Copilot, Cursor, Claude, Gemini, and ChatGPT to optimize ver

Graphcore Senior Principal AI SoC Validation (Bring-up lead) 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. We are developing the next generation of AI compute, a large-scale system-on-chip (SoC) designed to power future high-performance AI systems. As the SoC Validation Lead, you will be responsible for enabling pre-production software to run reliably on new silicon quickly and efficiently, before showing that the silicon meets the highest standards of quality, reliability and functionality, ready for production deployment. You will lead a team delivering post-silicon validation across the full AI SoC, working across silicon, firmware, and platform levels. The role requires a deep technical understanding, strong hands-on debug experience, and the ability to collaborate effectively with hardware, software, and systems engineering teams. Key responsibilities Define and lead post-silicon validation strategy Develop and refine the overall post-silicon validation approach for our AI SoCs, ensuring reliable and timely delivery of validated silicon, architectural correctness, feature robustness, and at-scale system reliability. Drive cross-domain debug and issue resolution Lead investigation and resolution of complex issues spanning silicon, firmware, operating systems, and platform interactions. Ensure that fixes are effective and sustainable. Promote collaboration and shared understanding Work closely with

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 a best-in-class 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 a diverse group of 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 We are seeking a senior validation lead engineer to lead at-scale rack validation efforts for next-generation AI hyperscale systems. This role focuses on post-silicon system validation across the full lifecycle, ensuring functional, electrical, and thermal performance meets product objectives. You will own end-to-end blade and rack validation including planning, development, execution, and debug while collaborating across firmware, systems, and hardware teams. The Team The Rack Validation team is responsible for ensuring system readiness and quality at scale. The team works cross-functionally with firmware, silicon, and system engineering teams to validate complex AI compute platforms. Responsibilities and Duties Lead post-silicon validation of AI compute blades and racks including test planning, development, and automation. Drive provisioning and integration of system components (SoC FW, BMC, RMC, OS) for rack-level readiness. Own execution against program achievements and report validation progress and risks. Triage test failures, collect debug data, and collaborate on root cause analysis. Track

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 As part of the Anthropic security department, the compliance team owns understanding security and AI safety expectations, as established by regulators, customers and (nascent) industry norms (which we also seek to influence). The compliance team uses this understanding to provide direction to internal partners on the priorities of security and safety requirements they must meet. The compliance team assures regulators and customers that those expectations are met by earning security credentials and responding to direct inquiry about Anthropics security program from auditors, customers and partners. This opportunity is unique, as we work to secure today’s most novel and valuable asset types, we must build a new kind of compliance program, assuring the safety of artificial intelligence capabilities. Key responsibilities Understand how Anthropic's security and privacy capabilities across major cloud platforms implement common frameworks (e.g., NIST 800-53, NIST 800-171, ISO 27001, ISO 27701, CSA CCM, and SOC 2). Build scalable data center and hyperscaler processes and documentation systems that will support future expansion to additional geographies and compliance frameworks. Assess and mitigate security and operational risks, implementing corrective actions, and managing vendor compliance. Coordinate engagements with independent assessors to earn security and privacy certifications and attestations important to Anthropic customers and enterprise partnerships, and to meet regulatory obligations. Write, update and enact policies capturing security, privacy, and AI safety requirements. Maintain and enhance Anthropic's s

NVIDIA is seeking elite ASIC Verification Engineers to verify the design and implementation of the world’s leading SoC's and GPU's. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. In this position, you will help to build the high-performance processor elements that implement programmable compute and graphics functionality. What you'll be doing: As a key member of our ASIC Verification team, you will verify the design and implementation of the industry's leading GPUs You will be responsible for verification of the ASIC design, architecture, golden models and micro-architecture using advanced verification methodologies such as UVM Understand the design and implementation of your unit, define the verification scope, develop the verification infrastructure and verify the correctness of the design Collaborate with architects, designers, and pre and post silicon verification teams to accomplish your tasks What we need to see: Bachelors Degree in EE, CS or CE or equivalent experience 2&#43; years of relevant experience Experience in verification using random stimulus along with functional coverage and assertion-based verification methodologies Background with design and verification tools (VCS or equivalent simulation tools, debug tools like Verdi, GDB) Experience crafting test bench environments for unit and system level verification Strong background in System Verilog or similar HVL Expertise with C/C&#43;&#43; programmin

NVIDIA is seeking elite ASIC Verification Engineers to verify the design and implementation of the world’s leading SoC's and GPU's. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. In this position, you will help to build the high-performance processor elements that implement programmable compute and graphics functionality. What you'll be doing: As a key member of our ASIC Verification team, you will verify the design and implementation of the industry's leading GPUs You will be responsible for verification of the ASIC design, architecture, golden models and micro-architecture using advanced verification methodologies such as UVM Understand the design and implementation of your unit, define the verification scope, develop the verification infrastructure and verify the correctness of the design Collaborate with architects, designers, and pre and post silicon verification teams to accomplish your tasks What we need to see: Bachelors Degree in EE, CS or CE or equivalent experience 2&#43; years of relevant experience Experience in verification using random stimulus along with functional coverage and assertion-based verification methodologies Background with design and verification tools (VCS or equivalent simulation tools, debug tools like Verdi, GDB) Experience crafting test bench environments for unit and system level verification Strong background in System Verilog or similar HVL Expertise with C/C&#43;&#43; programmin

We are looking for a disciplined and dynamic, Lead System Engineer – compute blade and rack Validation to join our growing compute rack validation team. As a diligent leader in Systems Engineering, you will drive multiple aspects of validation throughout the life cycle of the program. In this high visibility position, you will be part of a leading team to innovate and improve system bring-up and enablement abilities, as well as silicon and system validation to deliver the highest quality, industry leading technologies to market. Your technical leadership skills, validation and debug expertise will be necessary towards product development, definition, root cause and resolution. Your agility and collaborative approach will be essential to work within System Validation & other engineering teams (System Architects, SoC and Rack FW etc). The technical leader will be driving keys areas of system validation including leading first silicon & system bring-up (nodes and rack level systems) - rack level systems and blades will be based of ARM server architecture. Candidate will be immersed in challenging system enablement work, system validation (end-to-end) methodology, tests development and execution as well as triage/debug of critical issues to meet critical program milestones at POR quality. The candidate will also be a key contributor to state-of-the-art HW and lab capabilities for Grapchore’s system engineering. The candidate should be able to work in a global environment while maintaining a synergetic culture. Primary Responsibilities: Lead the systemenablement (including first silicon and other FW components) to ensure system capabilities are brought up as per plan of record and system architecture spec. Drive organization wide methodology for Firmware integration and best known configuration (HW/FW/SW) usage model by leading the release of deployment ready solutions. Develop key methodologies, lab HW and system SW capabilit

About Graphcore At Graphcore, we’re building the future of AI compute. We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary Working within the Logical Design team, the Silicon Logical Design Engineer is responsible for a wide range of logical design tasks which require working closely with other engineers within the Silicon department. This person is responsible for helping the team deliver high quality micro-architecture specifications and RTL for Graphcore chips, and assisting the rest of the Silicon teams to ensure we can 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 practices Essential skills: Degree in Computer Science, Engineering or a related subject Digital design experience in a relevant industry Be highly motivated, a self-starter, and a team player Ability to work across teams and findi