Hardware Systems Architect Jobs

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. Tenstorrent is building next-generation processors and systems, bringing together world-class expertise across silicon, systems, and software. We are looking for a CPU Performance Modeling Architect to help evaluate, shape, and optimize the performance of future CPU architectures. In this role, you’ll use performance modeling, workload analysis, and deep understanding of CPU architecture to answer complex questions about how a processor should be designed. You’ll work closely with CPU architects, RTL designers, software and compiler teams, and system engineers to identify performance opportunities, evaluate architectural tradeoffs, and turn modeling insights into actionable design decisions. This role is hybrid, based out of Santa Clara, CA or Austin, TX. 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 A CPU architect, performance architect, or performance modeling engineer with experience influencing CPU architecture or microarchitecture decisions. You have a strong understanding of modern processor architecture and enjoy digging into why a CPU performs the way it does. You are comfortable combining hardware architecture, software, data, and

About the Team DoorDash Labs, established in 2018, serves as the innovation hub for DoorDash, focusing on developing automation and robotics solutions to enhance last-mile logistics. The team's mission is to create technologies that support and augment human networks, aiming to improve efficiency for Dashers, merchants, and consumers alike. We’re ruthlessly focused on business impact. We are a highly senior team composed of former pioneers from a variety of different robotics industries. As of 2025, DoorDash has completed 10B lifetime deliveries. We’re focused on how to do the next 10B even better. About the Role We are seeking a highly motivated Systems Engineer to help shape the architecture and integration of our next-generation delivery platforms. In this role, you will define system requirements, interfaces, and verification strategies that connect diverse hardware, software, and operational teams into a cohesive, safe, and reliable system. You will translate high-level business and mission objectives into clear engineering specifications, ensuring our delivery platform meets performance, safety, and regulatory goals. The ideal candidate brings a strong background in complex system development, with experience in aerospace, autonomous vehicles, or other safety-critical domains, and thrives in a collaborative, fast-paced environment where clear thinking and systems-level perspective drive success. You’re excited about this opportunity because you will… Define system requirements and interfaces for delivery platforms, translating business and operational goals into verifiable technical requirements Develop and maintain system architecture and interface control documents that allocate functionality, performance, and safety constraints across subsystems and components. Lead trade studies and technical risk assessments to evaluate design options and make data-driven recommendations balancing various objectives Create verification & valida

Zoox's Network Security team architects and defends the digital borders of the company, from corporate offices to engineering labs and product/mission environments. As Staff Network Security Architect, you own the target-state design for how Zoox segments, connects, and controls trust across enterprise IT, OT and lab networks, and hybrid cloud (AWS, GCP). You set the standards other teams build to, you are the security design authority on new infrastructure, and you are accountable for the coherence of the whole picture rather than the health of any one platform. You'll partner closely with Network Engineering, IT, Product Security, Hardware, and Software Engineering, and you'll influence far more systems than you personally operate. In This Role, You Will... Own Zoox's network security reference architecture across corporate, data center, lab/OT, and edge environments, and define the segmentation and trust model that everything else is built against Serve as the security design authority for new infrastructure: run design reviews and threat models early enough to change the design, and define the criteria under which a design is approved, conditionally approved, or rejected Translate security frameworks into buildable engineering standards. Map controls to NIST CSF 2.0, NIST 800-53, and ISO 27001 (IEC 62443 a plus for OT/lab), and turn them into reference patterns, guardrails, and acceptance criteria engineers can implement without interpreting policy Define the zero-trust and identity-to-network strategy, including 802.1X/certificate-based NAC, PKI trust hierarchy, ZTNA and remote access, and how non-human and headless lab/vehicle assets are authenticated and authorized Architect secure hybrid and multi-cloud connectivity (CloudWAN, SD-WAN, transit and inspection architectures, cloud-native controls) and define where inspection, enforcement, and logging belong Drive secure-by-design into the delivery path: encode s

We are seeking a highly versatile Sensor & Hardware Safety Engineer to bridge the gap between rigorous hardware reliability and real-world system behavior. In this hybrid role, you will be responsible for 50% hardware-level Functional Safety (ISO 26262) and 50% system-level sensor safety (SOTIF / ISO 21448). You will ensure that our custom hardware meets strict ASIL compliance while guaranteeing our advanced sensor suites (Cameras, LiDAR, Radar) operate safely through perception edge-cases and environmental challenges. In This Role, You Will: Evaluate supplier technical documentation for advanced imagers, microprocessors, and SoCs to verify SEooC and AoU alignment. Assess vendor deliverables to guarantee ASIL standards are met for firmware/software maturity and diagnostic systems. Execute board-level FMEDA for sophisticated integrated circuits, including FPGAs and microcontrollers. Partner with Software, FW, and EE departments to define architectural requirements that enhance diagnostic monitoring. Support the V&V team in developing SOTIF-compliant simulation and physical test protocols for edge-case scenarios. Qualifications Minimum of a B.S. in Automotive, Robotics, Aerospace, or Electrical Engineering. At least 3 years of professional experience involving board bring-up, silicon validation, or hardware design. Understanding of SOTIF and ISO 26262 safety protocols. Strong interpersonal and professional communication capabilities within a collaborative environment Bonus Qualifications ISO 26262 professional certification (CFSP or CFSE). Background in automotive-grade hardware validation and design. Experience utilizing traceability platforms like JAMA or Polarion. Familiarity with industry standards including IEC 61508, DO-254, and DO-178C during board bring-up.

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role overview: We’re looking for a Business Systems Analyst to own the strategy roadmap and execution of large projects on Enterprise Services platform , with a strong focus on ServiceNow . This role sits at the intersection of business and technology, supporting functions such as HR, Finance, Facilities, Supply Chain & Operations, and Employee Services . You’ll act as a strategic thought partner and hands-on leader , driving enterprise-wide solutions across HR, IT, Facilities, Supply Chain & Operations and Employee Services. Delivering solutions that improve both user experience and operational efficiency across the enterprise. What you'll be doing: Partner with business and IT leaders to define and implement the ServiceNow roadmap, strategy, and priorities Translate complex, ambiguous business needs into scalable, user-centered solutions Lead end-to-end solution design across ServiceNow modules (e.g., ITSM, HRSD, SPM, WSD, App Engine, Now Assist ) Drive multi-functional initiatives, collaborating with engineering, architecture, and program teams Manage dependencies across systems and define enterprise integration strategies (e.g., Workday, SAP, Okta, Microsoft 365, Slack) Gu

We are inventors, builders, and doers, passionate and purposeful in the work we do. We have a once-in-a-century opportunity to reinvent personal transportation—and we need your help. As a Systems Integration Engineer for the Manufacturing Test and Diagnostics Engineering team, you will be part of the team that designs, develops, and executes systems and processes related to ECU and vehicle bringup, validation, testing, and troubleshooting. You will help build the next-generation infrastructure and process for testing electrical components, including hardware and firmware, on the Zoox vehicles in Manufacturing. In this role, you will: Design, develop, integrate, deploy, and support tester hardware, test software, and production equipment automation for testing at Manufacturing, supplier end-of-line (EOL), and fleet service. Build test solutions relying on Python (or other higher-level programming language) knowledge and experience with communication protocols (CAN, LIN, ETH) Build intuitive user interfaces using development skills such as React, Tkinter, or others that interface with middleware over API, TCP/UDP, Pub-Sub protocols, or other services. Serve as the first line of defense for electrical and functional issues during testing and other EOL processes, including but not limited to software/firmware, harness, networking (CAN, LIN, Automotive and Standard Ethernet, GMSL, etc.), hardware, and infrastructure issues. Work closely with multidisciplinary engineers to collect and interpret component- and vehicle-level requirements and translate them into scalable system-level validation test scripts and test cases for the vehicle integration process. Design and implement novel test solutions for future manufacturing lines and next-generation diagnostic architectures to support higher-volume production Document test solution hardware and sof

About the Role As a Systems Research Engineer specialized in GPU Programming, you will play a crucial role in developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications. Working closely with the modeling and algorithm team, you will co-design GPU kernels and model architecture to enhance the performance and efficiency of our AI systems. Collaborating with the hardware and software teams, you will contribute to the co-design of efficient GPU architectures and programming models, leveraging your expertise in GPU programming and parallel computing. Your research skills will be vital in staying up-to-date with the latest advancements in GPU programming techniques, ensuring that our AI infrastructure remains at the forefront of innovation. Requirements Strong background in GPU programming and parallel computing, such as CUDA and/or Triton. Knowledge of ML/AI applications and models Knowledge of performance profiling and optimization tools for GPU programming Excellent problem-solving and analytical skills Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or equivalent practical experiences Responsibilities Optimize and fine-tune GPU code to achieve better performance and scalability Collaborate with cross-functional teams to integrate GPU-accelerated solutions into existing software systems Stay up-to-date with the latest advancements in GPU programming techniques and technologies About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Compensation We offer competi

Job Details: Job Description: Position Overview As a Platform Hardware Design Engineer, you will provide technical leadership for the architecture, design, integration, bring-up, and validation of complex platform hardware. You will drive hardware development end-to-end, translating high level system requirements into detailed circuit and component specifications and leading designs from architecture and schematic development through PCB implementation, board power-on, debugging, validation, and delivery. You will be expected to make platform level technical decisions, resolve complex and ambiguous multidisciplinary problems, lead critical design reviews, drive cross-functional alignment, mentor engineers, and influence hardware development practices across projects. Our Business Group You will be joining the Silicon and Platform Engineering Group (SPE), an organization at Intel committed to advancing Intel's mission of delivering world-class silicon and platform solutions. The group focuses on developing integrated systems that align with customer needs and support Intel's broader goals of leadership in technology innovation. SPE collaborates across diverse domains to ensure Intel platforms meet performance, reliability, and scalability requirements. Our work sits at the intersection of silicon, board hardware, firmware, validation, signal and power integrity, mechanical and thermal engineering, PCB technology, manufacturing, and system integration. Our senior hardware engineers have a broader responsibility than executing an individual design. They help establish platform architecture, guide implementation, identify and qualify appropriate hardware solutions, provide technical leadership during board power-on and debug, and lead resolution of schematic, layout, SI/PI, and hardware issues. Key Responsibilities Platform Architecture and End-to-End Technical Ownership

Job Details: Job Description: Position Overview: As a Platform Hardware Design Engineer, you will contribute to the end-to-end development of advanced platform hardware, translating platform level requirements into circuit and component level specifications and ultimately into high quality board designs. You will work across the hardware development lifecycle, including architecture and requirements definition, component selection, schematic design, PCB implementation, design reviews, board fabrication and assembly support, power-on, bring-up, debug, validation, and delivery. This is a hands-on engineering role for candidates who enjoy solving complex hardware problems and working across disciplines to turn system requirements into reliable, manufacturable hardware. Our Business Group You will be joining the Silicon and Platform Engineering Group (SPE), an organization at Intel committed to advancing Intel's mission of delivering world class silicon and platform solutions. The group focuses on developing integrated systems that align with customer needs and support Intel's broader goals of leadership in technology innovation. SPE collaborates across diverse domains to ensure Intel platforms meet performance, reliability, and scalability requirements. Our work sits at the intersection of silicon, board hardware, firmware, validation, signal and power integrity, mechanical and thermal engineering, PCB technology, manufacturing, and system integration. Our hardware engineers have a broader responsibility than executing an individual design. They help establish platform architecture, guide implementation, identify and qualify appropriate hardware solutions, provide technical leadership during board power-on and debug, and lead resolution of schematic, layout, SI/PI, and hardware issues. Key Responsibilities Platform and Board Design • Translate platform level requirement

NVIDIA’s invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and establish teams with the most thoughtful people in the world. Are you ready to change the next generation of computing? Join us at the forefront of technological advancement. NVIDIA data center systems have become core to NVIDIA's rapidly growing enterprise and cloud provider businesses. These platforms bring together the full power of NVIDIA GPUs, NVIDIA NVLink, NVIDIA Networking, NVIDIA Data Center CPUs, and a fully optimized NVIDIA AI and HPC software stack. We are seeking an excellent Senior System Engineer to work on bring up, integration, validation and troubleshooting for compute tray platforms of GPU Racks — ensuring servers are fully functional and validated as per requirement before mass deployment in data centers. What you’ll be doing: Working with a global team of architects and developers on NVIDIA AI server system (CPU, GPU, Memory, NIC, PCIe, NVMe SSD, Cooling, etc.) designs. Working closely with hardware teams to influence hardware system design, reviewing schematics and board design to ensure speed of light execution. Using simulation and emulation to left-shift early design and initiate new concepts and innovations. Hands on debug and support of early server prototypes bring-up and power on test debug in datacenter system labs. Factory and Manufacturing support: Support manufacturing flows, firmware updates, and diagnostic procedures. Ensure BOM change signoff and proc

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new challenges that are hard to tackle, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. We are now looking for a System Design Engineer in the Graphics Product Team. In this role, you will be working with a team of HW/SW engineers to develop NVIDIA GPU/CPU/SoC based products for GPU cards, Datacenters, automotive, robotics, industrial PC, consumer electronics, etc. NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new challenges that are hard to tackle, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. We are now looking for a System Design Engineer in the Graphics Product Team. In this role, you will be working with a team of HW/SW engineers to develop NVIDIA GPU/CPU/SoC based products for GPU cards, Datacenters, automotive, robotics, industrial PC, consumer electronics, etc. What You'll be Doing: Build system hardware products around GPU, CPU & Tegra SoC. Collaborate with cross-functional team to pursue the balance of product cost, performance, and schedule under the guidance of system architects and product architects. Drive initial bringup and test, lead the debug efforts.

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. As a Principal SSD Systems Design Engineer within Micron’s Solid State Drive (SSD) Product Development Team (PDT), you will serve as a technical leader and strategic influencer across global teams. Using your extensive experience, you will drive SSD innovation from concept through high-volume manufacturing, developing architecture, guiding multi-functional execution, and mentoring engineering talent. This role requires deep technical authority, strong leadership, and the ability to influence product direction at organizational scale, leveraging AI. Key Responsibilities Lead system-level design definition and design reviews for SSD products, ensuring alignment with roadmap, customer requirements, and platform capabilities Drive resolution of complex, multi-domain technical issues (firmware, hardware, systems) using structured methodologies and data-driven debug approaches Define and implement system-level characterization strategies (power, thermal, performance, reliability) Act as a primary technical interface for executive partners, customers, and global engineering teams Lead lessons-learned initiatives and drive continuous improvement in SSD development methodologies Mentor engineers and shape technical direction through leadership and influence Minimum Qualifications: Bachelor’s degree in electrical engineering, Computer Engineering, Computer Science, or equival

Job Title AI Senior Systems Engineer (AI for RAMS & Systems Engineering) Job Description As an AI Senior Systems Engineer, you will help shape the future of Systems Engineering at Philips by driving the application of Artificial Intelligence within Systems Engineering and Reliability, Availability, Maintainability and Safety Engineering (RAMS) practices. You will identify opportunities where AI can enhance engineering activities, improve engineering productivity, and increase the quality, consistency, and traceability of engineering deliverables throughout the product development lifecycle. Acting as a thought leader and trusted advisor, you will help engineering teams understand, adopt, and effectively apply AI technologies within their daily engineering work. Working closely with systems engineers, RAMS engineers, architects, software teams, and AI specialists, you will bridge the gap between engineering challenges and emerging AI capabilities. You will contribute to the evolution of engineering methodologies, tools, and best practices that enable the next generation of AI-enabled Systems Engineering and RAMS Engineering at Philips. Your role: Drive the adoption of AI within Systems Engineering and RAMS practices across Philips. Identify, develop, and scale AI use cases for requirements engineering, system architecture, modelling, verification, validation, traceability, and engineering knowledge management. Identify, develop, and scale AI use cases for RAMS engineering like FMEA, data analysis, HALT/ALT, Modelling Simulation & Analysis, for Hardware and Software Support engineering teams in evaluating and implementing AI-enabled engineering workflows, methods, and tools. Coach and educate Systems Engineers, RAMS Engineers, Architects, and technical leaders on the opportunities, limitatio

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 part of the Core Products Business Unit (CPBU) Systems Software team, you will join a high-leverage engineering initiative dedicated to transforming upgrade workflows and lifecycle operations. Our goal is to shift hardware upgrades from manual, support-intensive workflows toward a safer, guided, automated self-service experience integrated directly into Pure1 and Skyline. In this role as a Systems Software Engineer (MTS3), located on-site in Santa Clara, CA, you will build dedicated systems infrastructure and controller-upgrade automation for our next-generation upgrade framework. You will bridge on-array software execution with cloud-guided operations, eliminating manual choreography and runbooks while maintaining uncompromising standards for safety and availability. What You'll Do Design & Build Upgrade Infrastructure: Architect, implement, and maintain high-reliability systems software components for controller-upgrade automation and the next-generation hardware upgrade framework. Automate Upgrade Workflows: Transition complex hardware replacement and upgrade tasks into repeatable, self-service workflows, significantly reducing support and field dependencies. Engineered Safety & Resilience: Build robust state machines, health checks, workflow orchestration, pre/post-upgrade validations, failure-handling mechanisms, and automated recovery paths. Cross-Functional Collaboration: Partner closely with int

Define the physical limits of what a chip can do, then break them! NVIDIA's Silicon Co-Design Group sits at the crossroads of architecture, silicon, systems, and manufacturing, where first principles thinking translates directly into product outcomes at scale. As GPU power density and thermal limits approach physical boundaries, the gap between system architecture needs and manufacturable, testable capabilities widens with every generation, and this role exists to close it. You wouldn't be maintaining existing solutions, you'd be identifying where physical constraints will erode NVIDIA's competitive edge before anyone else sees it coming, then building the cross-domain responses that ensure the next generation leapfrogs those limits entirely. The problems here don't have known answers yet: Every generation of NVIDIA silicon pushes closer to the limits of physics. The Co-Design Architect role isn't about optimizing within known bounds; it's about redrawing those bounds entirely. If you want your work to shape what's physically possible in the world's most demanding computing products, this is where that work happens. What you'll be doing: Power, Thermal & Packaging Limits Analysis: Gather and analyze the hard constraints of packaging, power delivery, and thermal dissipation against roadmap demands, predicting when those constraints will reduce competitiveness and acting before they do. Cross-Domain Solution Development: Develop solutions that span silicon features, packaging innovation, firmware and hardware co-design, and DFX updates, ensuring future products are not only performant but testable to the highest quality and reliability standards. Packaging Technology Evaluation: Assess emerging packaging technologies for their voltage/frequency, noise, reliability, and testability implications, determining which are worth adopting an