Hardware Systems Architect Jobs

About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Role The Embedded Software team is looking for a Senior/Staff Graphics Engineer to own the graphics stack behind Hark's device display. You will share the ownership of kernel GPU driver and userspace graphics stacks, building the rendering engine and the UI framework that everything else on the product is drawn with, on resource constrained platforms with novel form factors. This is the layer underneath the product experience. Design and our UX engineers define what the interface does; you define the capabilities of the interface. Responsibilities Own Display & Graphics stack: Design, develop, and maintain the display pipeline across different embedded platforms Work directly with Design and with the UX engineers to get real designs onto the device at full fidelity. Performance Optimization: Analyze and optimize the graphics pipeline to ensure high performance, low latency, and efficient memory bandwidth across different graphics pipelines and architectures Establish the practices for graphics development, testing, performance regression, and CI. Requirements 7+ years of industry experience in graphics or UI engineering. Deep hands-on experience with Vulkan and OpenGL ES, including shader authoring (GLSL/SPIR-V) and ren

Firmware Engineer BIOS/UEFI Description - The Firmware Engineer is responsible for ensuring that embedded firmware meets the highest standards of quality, robustness, and long‑term reliability. This role works closely with firmware developers, hardware engineers, architecture teams, QA, and cross‑functional partners to define quality metrics, validate system behavior, improve defect detection, and build processes that prevent regressions. Responsibilities Develop, execute, and maintain comprehensive firmware test plans, including functional, regression, stress, corner-case, and long-duration reliability tests. • • • Evaluates the firmware architecture, design and development plus testing methodologies to create strategy and implement methods to bring increased quality and reliability to the firmware. Reviews firmware code and test plans including functional, regression, stress, corner-case and long-duration reliability tests. Perform root-cause analysis for firmware defects, drive containment, corrective actions, and verification of fixes. Create and manage quality dashboards, KPI, failure rates, and reliability metrics. Evaluate failure modes exposed during design, development, manufacturing and field use; propose design or process improvements to prevent recurrence. Works with product architects, firmware teams, product managers and provides critical guidance, system-level debugging and troubleshooting to various teams, as a Subject Matter Expert. Reviews and evaluates designs and project activities for compliance with systems design and development guidelines and standards; provides tangible feedback to improve product quality and mitigate failure risk. Create and manage quality dashboards , KPIs, failure rates, and reliability metrics. Validate firmware integration with hardware, BIOS/UEFI, EC, micro

Perplexity is seeking an experienced Machine Learning Research Engineer to help build the next generation of advanced search technologies, with a focus on retrieval and ranking. Responsibilities Relentlessly push search quality forward — through models, data, tools, or any other leverage available Architect and build core components of the search platform and model stack Design, train, and optimize large-scale deep learning models using frameworks like PyTorch, leveraging distributed training (e.g., PyTorch Distributed, DeepSpeed, FSDP) and hardware acceleration, with a focus on retrieval and ranking models Conduct advanced research in representation learning, including contrastive learning, multilingual, and multimodal modeling for search and retrieval Deploy models — from boosting algorithms to LLMs — in a scalable and performant way Build and optimize RAG pipelines for grounding and answer generation Collaborate with Data, AI, Infrastructure, and Product teams to ensure fast and high-quality delivery Qualifications Deep understanding of search and retrieval systems, including quality evaluation principles and metrics Proven track record with large-scale search or recommender systems Strong proficiency with PyTorch, including experience in distributed training techniques and performance optimization for large models Expertise in representation learning, including contrastive learning and embedding space alignment for multilingual and multimodal applications Strong publication record in AI/ML conferences or workshops (e.g., NeurIPS, ICML, ICLR, ACL, CVPR, SIGIR) Self-driven, with a strong sense of ownership and execution Minimum of 3 years (preferably 5+) working on search, recommender systems, or closely related research areas

NVIDIA is a leading artificial intelligence computing company, and we are paving the way with innovations in self-driving cars, machine learning, supercomputing, gaming, and visualization. We give automakers, tier-1 suppliers, automotive research institutions, and start-ups the power and flexibility to develop and deploy breakthrough artificial intelligence systems for self-driving vehicles. Our unified computing architecture enables training deep neural networks in the data center, and then seamlessly runs them on NVIDIA DRIVE Platforms inside the vehicle. The Hypervisor and RTOS Team within NVIDIA DRIVE Software plays a critical role in NVIDIA's expansion into the world of artificial intelligence and autonomous vehicles. Our job is to facilitate the sharing and separation of system resources while achieving real-time, safety, and security requirements. We develop Hypervisor and RTOS with a strong focus on automotive quality, safety and security needed for the real-time, highly available system level components of world-class Autonomous Vehicles. We are making extensive use of formal methods to automate our workflow and increase the quality of our SW. We are hiring now for the position of Senior System Software Engineer for Hypervisor and RTOS What you’ll be doing: Design and develop new features for RTOS and hypervisor software stack. Bring up and optimize RTOS and hypervisor stacks on new NVIDIA Tegra SoCs. Develop high-integrity software using best-in-class engineering, safety, and security practices. Debug complex system-level issues across hardware, firmware, RTOS, and virtualization layers. Lead team-wide technical initiatives by building alignment, coordinating execution, and driving them to completion. What we need to see: BS, MS in CS/CE/EE or a related engineering field or equivalent experience </

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 We are seeking an experienced Platform Software Engineer for our Systems Software Team. You will be working as part of a dynamic team and will be responsible for designing, developing, and testing system software functionality for Pure’s upcoming platforms. The work spans the gamut of Systems software and you will have the opportunity to work in a wide range of areas and features ranging from Platform drivers to networking and storage layers. WHAT YOU'LL DO Plan and influence the lifecycle of new Hardware Platforms. Work on problems ranging from design, bring up, to deployment, upgrades and fleet level reliability. Participate in the full lifecycle of new hardware platforms from early bring up through manufacturing release. Work closely with peer teams to debug complex HW/FW of new server hardware, including CPUs, chipsets, and peripheral components. Debug complex HW/FW issues across x86, PCIe, NVMe, and networking using lab tools (oscilloscope, logic analyzer, JTAG) and kernel/driver traces. Design, implement and improve remote server management capabilities (e.g., using standards like Redfish) and enhance Reliability, Availability, and Serviceability (RAS) features. Design, write and maintain software components in C/C++, Python, Golang and RUST. Collaborate with vendors on requirements specification and follow through to system delivery. Work closely with hardware engineers, system architects, and o

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role Working with avionics means working at the heart of the vehicle — the core that connects and enables every other subsystem. This role is inherently collaborative, bridging (GNC), software, mechanical, and thermal disciplines to create a unified platform with the required defense capabilities. Every function depends on a robust and compatible avionics architecture, where everything needs to be developed and extensively tested, making this position critical to the vehicle’s overall performance and mission success. It’s a uniquely challenging role that balances diverse technical demands focused on electronics & software, that integrates complex systems, and ensures every component works together seamlessly to deliver cutting-edge unmanned capabilities. Key Responsibilities Development and integration of Avionics systems Define and maintain functionality of avionics systems with vehicle, system iterations and updates Develop and manage high-level block diagrams to represent system functions and interfaces Collaborate closely with vehicle teams to define electrical and system requirements Design and provide technical support for Iron-birds, prototypes, and special projects Troubleshooting avionics systems in both hardware and software, and develo

We are hiring senior engineers to work on the CUDA driver, a core component of our platform for accelerating general purpose computation on the GPU. Our team delivers features and improvements to better realize the potential of NVIDIA hardware for a growing range of computational workloads, ranging from deep learning, scientific computation, and self-driving cars to video games and virtual reality! CUDA defines a unified programming model across a range of system configurations and hardware capabilities. To accomplish this, the CUDA driver interacts with GPU hardware, kernel mode drivers, switches and the operating system. What you'll be doing: As a member of our team, you will use your design abilities, coding expertise, and creativity to deliver the best Compute platform in the world. You will craft elegant solutions to exciting problems and craft the future direction of CUDA as you collaborate with your peers across NVIDIA. You will evangelize, architect, and implement new CUDA features You'll oversee and drive development efforts across multiple teams Collaborate with members of hardware architecture teams Help define forward-looking improvements to the CUDA APIs and programming model Design and maintain performance and precision modeling Write effective, maintainable, and well-tested code Develop code for multiple operating systems What we need to see: Bachelor of Science or Master of Science degree in Computer Science, Electrical Engineering, or related field (or equivalent experience) 15&#43; years of relevant systems software development experience Strong C programming skills </

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 Join our team as a Senior SSD Firmware Lead / Architect and help define the future of data storage. In this role, you will lead the architecture and development of firmware for our industry-leading DirectFlash™ SSD Modules, which power Pure Storage platforms used by both enterprise and hyperscale customers. You will work closely with hardware engineers, controller vendors, and systems teams to design firmware architecture, bring up new hardware platforms, and improve performance and reliability. WHAT YOU'LL DO Define and drive the firmware architecture for next-generation DirectFlash™ SSD modules, including subsystem design, firmware modularization, and system integration. Work with controller vendors and hardware teams to bring up new SSD controller SoCs and enable features such as PCIe, NAND interfaces, power-loss protection, and telemetry. Develop firmware components supporting NVMe and OCP SSD specifications, ensuring compliance, performance, and interoperability. Debug complex cross-layer issues involving firmware, controller hardware, NAND media, and host systems. Improve SSD data path performance and latency through firmware design and analysis. Review designs, mentor engineers, and improve development tools, testing, and automation. WHAT YOU BRING Extensive experience developing SSD firmware for enterprise or hyperscale systems, with strong knowledge of SSD architecture and controller design. Solid underst

NVIDIA's 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 — 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 are looking to grow our company, and grow our teams with the smartest people in the world. What you’ll be doing: You will work with ground breaking technologies for the Tegra SoC and various NVIDIA embedded platforms Implement power and thermal management software features in Linux Kernel and user space Collaborate with power architects, hardware and software engineers on platform power estimation and optimization Optimize the software stack to improve performance, efficiency, and responsiveness for edge AI and robotics use cases. Focus on improving compute and memory utilization, reducing latency and power consumption, and tuning system-level performance to deliver reliable and scalable AI workloads across demanding real-world edge environments. What we need to see: MS in CS, CE, EE, Systems Engineering or related software/hardware engineering major, or equivalent experience 8&#43; years of software development experience with a significant focus on Linux Excellent C programming/debugging skills within Linux kernel and user space software Background with working on embedded systems and ARM processor specific System-level debugging experience and problem-solving skills Excellent communication skills Ways to stand out from the crowd: Understanding of the Linux power and thermal management features (schedule

About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Role We're looking for an experienced Audio DSP Deployment Engineer to own how our audio algorithms work on device. Our algorithm team prototypes and validates new audio processing on the desktop in MaxMSP, JUCE, Python, and MATLAB, but the on-device implementation is its own design problem: what runs where, at what precision, in what block size, and within what compute, memory, and latency budget. You will own that design, reworking and extending algorithms so they hold up in real time on the embedded DSP cores inside our products, tuning them against real hardware and real acoustics, and carrying them through to a shipping feature. This is hands-on work close to silicon with genuine ownership of the on-device audio chain, and direct influence on how the product sounds and listens. Responsibilities Own the on-device design of the audio algorithm chain: what runs where, at what precision and block size, and within what compute, memory, and latency budget Take algorithms from desktop prototype in MaxMSP, JUCE, Python, and MATLAB to production C/C++ running in real time on the embedded DSP cores, re-architecting them where the target demands it rather than transcribing them Develop, tune, and extend algorithms directly on device, and propo

About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Role Hark is seeking a Patent Agent to build the software side of our patent portfolio from the ground up. This person will own drafting and prosecution across our models, inference systems, and platform software, and will shape how the company decides what to protect as its research moves from experiment to product. This role sits inside Legal but lives with research and engineering. You will work alongside the people building our foundation models, on-device inference, agentic systems, and product software, finding the inventions before anyone has thought to write them down. Then you will go draft the applications yourself. Software patents are won or lost on subject-matter eligibility, and the work of getting a claim allowed starts long before the first office action. It starts in the specification, and before that, in understanding the technical problem well enough to say precisely what the invention improves. This is a hands-on opportunity for someone who wants to author that strategy rather than inherit it. Responsibilities Build and execute the patent strategy for Hark's models, inference systems, and platform software, including portfolio architecture across foundation models, on-device deployment, agentic systems, and product so

Topgolf is looking for a Senior Unity Developer to join our Games team and help lead the next generation of interactive experiences played by millions of Guests across our venues. This role sits at the intersection of game development, real-world sports, connected venues, and large-scale entertainment technology. You will lead the design and architecture of Unity-based games and experiences that run in Topgolf bays, using ball-tracking data, venue systems, real-time scoring, and engaging game mechanics to create fun, social, competitive gameplay. You will lead a small group of engineer’s day to day, partner closely with game designers, artists, UX/UI designers, QA, product owners, and platform engineers, and act as the primary technical voice for the Games team, from roadmap through national rollout. Responsibilities Architect, develop, and optimize Unity games and interactive experiences for Topgolf venues, making key technical decisions for the systems you own. Design gameplay systems, UI, animation, scoring, camera behavior, effects, and game-state logic that other engineers can build on. Lead integration of Unity games with internal Topgolf services, APIs, tracking systems, configuration tools, and venue hardware. Partner with designers and product owners to translate ambiguous game concepts into playable prototypes and production-ready experiences, shaping technical feasibility early. Collaborate with artists and technical artists on asset pipelines, shaders, VFX, animations, and performance-conscious visuals, and set technical standards for quality. Drive down defect rates by improving testability, diagnosing hard-to-reproduce issues, and coaching others on debugging complex venue and platform issues. Write clean, maintainable, well-structured C# code and set the bar in code reviews. Own and improve build, deployment, and development workflows across the Games tea

About the Team OpenAI’s Infrastructure Operations team is responsible for the availability, reliability, and operational excellence of one of the world’s largest AI infrastructure networks. The team owns day-to-day operations of production AI networks across Industrial Compute's data centers, working with colocation providers, deployment teams, and hardware vendors to deliver highly available GPU infrastructure for AI training and inference workloads. About the Role We are seeking an Infrastructure Operations Engineer to operate and improve the large-scale Ethernet fabrics that support GPU clusters, storage systems, and management infrastructure. This role combines hands-on production operations with automation, observability, and incident response across a global AI network. The ideal candidate has experience operating high-availability data center, cloud, AI, or HPC networks and can move comfortably from physical-layer troubleshooting to routing and fabric behavior, change execution, and root-cause analysis. You will partner closely with network architecture, systems engineering, GPU engineering, storage engineering, security, deployment, site operations, service providers, colocation partners, and hardware vendors to raise reliability and reduce operational toil. Key Responsibilities Own the operational health, availability, and reliability of production AI network infrastructure across Industrial Compute's data centers. Monitor, troubleshoot, and resolve network incidents while meeting service-level objectives (SLOs), reducing Mean Time to Detect (MTTD), and minimizing Mean Time to Recovery (MTTR). Operate and maintain large-scale Ethernet fabrics supporting GPU compute, storage, and management networks. Execute production network changes, maintenance windows, and capacity expansions with minimal customer impact. Manage the hardware lifecycle, including switch and optics replacements, RMA coordination, software upgrades, and preventive maintenance. Support new A

INFRASTRUCTURE ENGINEER - Linux & Data Center Location: San Francisco Bay Area Department: Information Technology — Infrastructure Engineering Reports To: Infrastructure Engineering Manager Employment Type: Full-time Experience Level: 2–4 years Base Salary: $100,000–$125,000 USD annually Travel: Periodic data center and colocation site visits On-Call: Participates in a shared infrastructure on-call rotation, with senior escalation support Location: San Francisco Bay Area Eligibility: U.S. citizenship required On-site requirement: This role has hands-on data center responsibility and cannot be performed fully remote. ABOUT RAPIDFORT RapidFort is a cybersecurity company focused on helping organizations secure and optimize their software supply chain and containerized environments. Our platform helps teams reduce software vulnerabilities and attack surface while improving the security and efficiency of modern cloud-native applications. We work with commercial enterprises and public-sector organizations operating in highly regulated and security-sensitive environments. ABOUT THE ROLE RapidFort Inc. runs its core systems on infrastructure we own and operate. We are looking for an Infrastructure Engineer to help build, automate, and run that estate alongside our senior engineers. This is a hands-on role with a deliberate weighting: roughly 70% Linux systems engineering and automation, 30% data center hardware, storage, and network. Most of your week is spent in the Linux environment — building, patching, scripting, and troubleshooting — and a real part of it is spent with your hands on physical infrastructure. This is a growth role, and we mean that concretely. You will work to standards set by our Infrastructure Engineering Manager and Lead Infrastructure Engineer, with design review and mentorship built into how the team operates. You are not expected to arrive with deep storage or network architecture experience. You are expected to be strong on Linux, genuinely co

As a Contract Crypto Engineer at Capco, you’ll design, develop, and support cryptographic solutions that protect data at rest and in transit across complex enterprise environments. You’ll bring together expertise in encryption technologies, mainframe systems, application development, and secure engineering practices, with a particular focus on Crypto as a Service (CaaS) capabilities. Working alongside enterprise technology teams, you’ll help deliver secure, resilient solutions that meet security, compliance, and operational requirements within financial services. What You’ll Do Design and develop secure solutions for data-at-rest and data-in-transit encryption, applying established cryptographic practices. Contribute to system design, architecture, application development, deployment, and ongoing platform support. Develop and support Crypto as a Service (CaaS) capabilities and enterprise-grade security solutions. Collaborate with enterprise technology teams to ensure cryptographic solutions meet security, compliance, and operational requirements. Support development practices, deployment pipelines, and release processes using enterprise tools and standards. What We’re Looking For Strong knowledge of encryption technologies, including symmetric and asymmetric cryptography, public key cryptography, and digital signing services. Experience designing and developing secure systems, applications, and enterprise technology solutions. Knowledge of IBM z/OS and related development tools, alongside mainframe technologies including COBOL, JCL, IMS, DB2, and Endeavor. Working knowledge of Java and Spring, with experience using application servers such as JBoss and WebSphere. Broad understanding of the technical environments, software, hardware, programming languages, tools, and operating systems used within large enterprise environments. Bonus Points For Knowledge of the IBM ICSF Crypto engine. Experience with IBM Liberty. Experience with enterprise tools such as Jenkins, Servi