Firmware Engineer Data Center Solid State Drives Jobs

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are seeking a highly skilled and experienced System Debug Lead Engineer to join our team. This individual will play a critical role in root cause analysis and resolution of complex issues across our server and data center platforms, involving electrical, mechanical, thermal, and firmware components. The ideal candidate brings a multidisciplinary approach to system-level problem-solving and thrives in a dynamic, collaborative environment. What you’ll be doing: Lead cross-functional debug of critical system-level issues across hardware (electrical, mechanical, thermal) and firmware domains Perform hands-on root cause analysis of failures observed during system validation, production, or in-field operation Collaborate with electrical engineers, mechanical engineers, thermal engineers, firmware developers, and manufacturing teams to develop and validate fixes Develop and implement detailed tests and experiments to identify and recreate intricate issues Develop tools, scripts, and automation to accelerate debug workflows Provide technical guidance and mentoring to cross-functional teams Document debug procedures, findings, and mitigation pla

Job Details: Job Description: The Role and Impact As a GPU Platform Hardware Design Engineer, you will play a pivotal role in designing and developing high-quality GPU hardware platforms that drive innovation in high-performance computing, graphics, and visualization technologies. You will lead the design process from initial feasibility studies through board layout, tapeout, and platform power-on, ensuring robust functionality and compatibility with industry standards. Your expertise in platform-level requirements, electrical engineering applications, and system bring-up will directly contribute to delivering cutting-edge GPU systems that accelerate Intel's leadership in computing. Business group The Data Center Group (DCG) is dedicated to advancing Intel's role in powering the digital world with leading-edge technologies. Focused on delivering innovative solutions for data center and cloud environments, DCG supports high-performance computing and graphics to enable capabilities such as AI, machine learning, and advanced visualizations. As part of the GPU IP Engineering team within DCG, you'll contribute to developing GPU systems that meet the evolving demands of the industry while supporting Intel's broader mission to create world-changing technology. Key Responsibilities - Design, develop, and evaluate electronic components, PCBs, and integrated circuits for GPU hardware platforms. - Translate platform-level requirements into detailed specifications and ensure adherence throughout the design process. - Define component placement and trace routing rules to optimize board layouts for performance, power, and signal integrity. - Conduct feasibility studies, board layout, tapeout, and platform power-on activities. - Perform functionality tests and utilize tools to verify platform configurations and compatibility. - Research, develop, and validate firmware, hardwa

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking a Staff Hardware Engineer to provide advanced operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms across lab and data center environments. This role focuses on supporting hardware bring-up, validation, and troubleshooting of complex AI compute platforms, including server blades, racks, and rack-scale infrastructure. The successful candidate will collaborate closely with engineering, platform, and data center teams to ensure the reliability and performance of next-generation AI systems. The Team The Systems Engineering and Hardware Engineering teams are responsible for enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms. The team works closely with server engineering, firmware teams, platform architects, and data center operations to support the development, testing, and deployment of next-generation AI compute systems. This collaborative environment enables rapid problem-solving and continuous improvement of Graphcore’s hardware platforms from early development through production deployment.

Location: Milpitas, CA - Please note this a hybrid role with a minimum of 3 days onsite. 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. We are opening a new AI Engineering Campus in Austin, which will play a central role in Graphcore's work building the future of AI computing. Job Overview: Graphcore is seeking a Principal Engineer, Power Engineering to aid in defining the architecture of the power delivery components from grid to chip. You will work closely with multiple cross-functional teams, including hardware engineers, firmware developers, and data center operations, to ensure the infrastructure we build meets customer requirements as well as attaining standards of performance, reliability, and scalability. This role will be based in Austin or San Jose and could potentially be performed onsite or remotely within the US. Responsibilities: Provide thought leadership, planning, and design for power delivery from data center power drop through delivery to systems & chips Establish power roadmap. Work with vendors to ensure their planned future technologies are pulled into our system engineering roadmap AND ensure that our (system engineering) required technological innovation is being driven into their (power vendor) roadmap. Work to improve reliability and efficiency of power engineering component over time. Rack-level power components. Competency with specification of ha

Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale. Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term. About the role: Samsara sits at the center of hardware, software, AI, and the physical world, processing 25+ trillion data points annually across thousands of connected devices. The Samsara Application Security team protects this vast footprint end-to-end, spanning cloud services, internal systems, and firmware running on IoT hardware in the field. As a Staff Application Security Engineer, you’ll drive the overarching technical direction for our application security and vulnerability management programs. This is a high-visibility role where you'll influence a broad surface area while retaining the flexibility to dive deep into critical domain focus areas as security priorities evolve. This is a remote position, open to candidates residing in the UK. Relocation assistance will not be provided for this role. You should apply if: You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep t

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. The SSD Engineering team develops the firmware that powers Micron's industry-leading storage solutions. Working at the intersection of hardware, software, and AI-enabled technologies, the team delivers innovative, high-performance, and reliable SSD products that support data centers, client computing, and emerging AI applications worldwide. As an SSD Firmware Intern, you will work alongside experienced engineers to develop, test, and optimize firmware for Micron's SSD products. This role provides hands-on experience in embedded systems, firmware development, debugging, and AI-assisted engineering workflows while contributing to the performance, quality, and reliability of next-generation storage solutions. Responsibilities Collaborate with firmware engineers to develop, test, and enhance SSD firmware features and functionality. Debug and resolve firmware issues to improve product performance, reliability, and quality. Create and complete test plans to validate firmware behavior and support product qualification efforts. Participate in code reviews and contribute to continuous improvements in software quality and development processes. Use AI-enabled tools and workflows to improve engineering productivity, automate tasks, and accelerate firmware development. Minimum Qualifications 0-2 years of relevant experience through internships, research, coursework, academic projects, or software/firmware developme

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. The SSD Engineering team develops the firmware, tools, and infrastructure that power Micron's industry-leading storage solutions. By leveraging automation, CI/CD technologies, and AI-enabled engineering practices, the team accelerates firmware development, improves product quality, and delivers reliable storage solutions for data center and enterprise customers. As an SSD Firmware CI/CD & AI Intern, you will work alongside firmware engineers to enhance and modernize Micron's SSD firmware development ecosystem. You will develop automation tools, AI agents, and CI/CD solutions that improve how firmware is built, tested, integrated, and validated. This role focuses on engineering productivity, intelligent automation, and scalable development workflows rather than firmware feature development. Responsibilities Design, develop, and deploy AI agents that enhance firmware development, testing, integration, and validation workflows. Build and maintain Python-based automation solutions for CI/CD pipelines, firmware builds, testing, and release activities. Analyze CI/CD pipeline performance, test results, and workflow data to identify opportunities for quality, reliability, and productivity improvements. Integrate AI-assisted tools and intelligent automation capabilities into existing firmware engineering processes. Collaborate with firmware, validation, and software engineering teams to evaluate, deploy, and continuously improve automation and AI-enabled development solutions. <b

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 Platform Security Engineering (PSE) sits within Data Center Security Engineering (DCSE). As Anthropic expands beyond traditional cloud providers into owned facilities, colocation, and partner sites, we take on the security responsibilities that cloud providers used to abstract away: firmware integrity, boot chain verification, platform trust, and host hardening. PSE exists so that Anthropic can deploy training and inference workloads to any qualified environment with a demonstrable security posture, including the technical controls behind our AI Safety Level commitments. We are hiring an engineering manager to lead a group of platform security engineers covering firmware research, OS and kernel hardening, platform trust integration, and server manageability firmware. You will own the roadmap for this group, grow the team, and be accountable for the security posture of the compute platforms Anthropic runs on: hardware roots of trust, secure and measured boot, attestation, firmware supply chain, and the integrity of the hosts that hold model weights on bare-metal infrastructure. This is a hands-on management role. You will not write most of the code, but you will review designs, make the final call on hard trade-offs, and be able to reason with your engineers from a silicon root of trust through firmware, bootloader, kernel, and host software. You will partner with infrastructure, fleet, and compute teams inside Anthropic, and with silicon vendors, OEMs, and compute providers outside it. You will report to the Data Center Security Engineering manager. Key responsibilities Lead and grow the platform security engineering gr

About the job Own the reliability of AI compute hardware where lab discovery becomes data centre reality. Graphcore is building the hardware and systems infrastructure needed for the next generation of AI breakthroughs. This role helps prove those platforms work when complexity, scale and pressure increase. You will lead advanced operational, diagnostic and engineering support across lab and data centre environments. Your work will improve hardware bring-up, validation and troubleshooting for AI compute platforms. You will diagnose failures across server blades, racks, power systems, thermal behaviour, network configuration and BIOS/BMC issues. You will turn hard problems into clear root cause analysis, corrective action and better operating practice. This is hands-on engineering with visible impact. You will support new platforms from early bring-up through deployment, helping Graphcore move faster with confidence. The team and culture You will work with Systems Engineering, Hardware Engineering, server engineering, firmware, platform architects and data centre operations. Problems are solved close to the hardware, with clear evidence and direct ownership. The team moves quickly during bring-up and validation cycles. Engineers are expected to act fast, take responsibility and speak up when something needs attention. Decisions are shaped by data, system behaviour and practical engineering judgement. You will guide others, improve documentation and help raise the standard of hardware diagnostics. What we're looking for · Strong knowledge of server hardware architectures and board-level debugging · Experience isolating failures using system logs, telemetry, power data and thermal metrics · Hands-on experience with HPC systems, AI compute platforms or rack-scale infrastructure · Ability to lead structured root cause analysis and propose practical corrective actions · Confidence working across engineering, platform and data centre teams · Clear written and verbal

About the job Own the reliability of AI compute hardware where lab discovery becomes data centre reality. Graphcore is building the hardware and systems infrastructure needed for the next generation of AI breakthroughs. This role helps prove those platforms work when complexity, scale and pressure increase. You will lead advanced operational, diagnostic and engineering support across lab and data centre environments. Your work will improve hardware bring-up, validation and troubleshooting for AI compute platforms. You will diagnose failures across server blades, racks, power systems, thermal behaviour, network configuration and BIOS/BMC issues. You will turn hard problems into clear root cause analysis, corrective action and better operating practice. This is hands-on engineering with visible impact. You will support new platforms from early bring-up through deployment, helping Graphcore move faster with confidence. The team and culture You will work with Systems Engineering, Hardware Engineering, server engineering, firmware, platform architects and data centre operations. Problems are solved close to the hardware, with clear evidence and direct ownership. The team moves quickly during bring-up and validation cycles. Engineers are expected to act fast, take responsibility and speak up when something needs attention. Decisions are shaped by data, system behaviour and practical engineering judgement. You will guide others, improve documentation and help raise the standard of hardware diagnostics. What we're looking for · Strong knowledge of server hardware architectures and board-level debugging · Experience isolating failures using system logs, telemetry, power data and thermal metrics · Hands-on experience with HPC systems, AI compute platforms or rack-scale infrastructure · Ability to lead structured root cause analysis and propose practical corrective actions · Confidence working across engineering, platform and data centre teams · Clear written and verbal

About Graphcore Graphcore is a global leader in artificial intelligence computing systems. We design advanced semiconductors, software, and data center systems that provide the specialized processing power needed to advance AI while improving the efficiency required for broad adoption. As part of SoftBank Group, Graphcore belongs to a family of companies developing transformative technologies. Our U.S. engineering teams contribute to the hardware and software platforms that support the next generation of AI systems. The Opportunity We are looking for a computer engineering, electrical engineering, or computer science student or recent graduate to join the BMC Development team as a Firmware Engineering Intern. You will work with experienced engineers on low-level and embedded firmware that supports the operation, control, and manageability of advanced compute systems. This internship provides hands-on experience in firmware development, test automation, engineering experiments, and lab-based system testing in a Linux development environment. You will own clearly defined technical tasks with guidance from the team and contribute to production-quality engineering work. Type: 12-week summer internship Timing: May - August (exact dates to be confirmed) Commitment: Full-time What You Will Do Contribute to the design, implementation, and testing of system and embedded firmware. Develop and maintain firmware and supporting software in C, C++, or Python. Support firmware development and debugging in a Linux-based engineering environment. Create automated tests and scripts that improve firmware validation, test coverage, and engineering efficiency. Contribute to continuous integration and delivery workflows for firmware development and testing. Plan and conduct well-defined engineering experiments, record results accurately, and draw conclusions from test data. Support lab setup, system configuration, hardware bring-up, and firmware testing. Use debugging and diagnostic techn

About the Team Compute Foundations builds the software that manages OpenAI’s GPU compute infrastructure across sites, data centers, and infrastructure providers, supporting model training and inference. Our systems turn large, heterogeneous fleets of machines into dependable compute for research and products. We build Kubernetes-based control planes, controllers, services, and APIs that coordinate the lifecycle of machines and clusters. We connect global infrastructure management with the realities of bare-metal systems, giving clients consistent interfaces across differences in hardware, topology, and provider behavior. About the Role You will build distributed systems that provision, configure, and manage compute throughout its lifecycle. Your work will connect global services and Kubernetes controllers with the systems that bring machines online, update them safely, and recover them when something goes wrong. This role combines software architecture with an understanding of how machines and data centers work. You might design a lifecycle API, improve controller performance under high concurrency and provider rate limits, or trace a provisioning failure from an API through reconciliation to network boot or host configuration. You will help these systems remain reliable as the fleet expands across sites and generations of GPU hardware. We value depth in relevant systems and the ability to connect layers. You do not need to arrive as an expert in every component of the stack. In this role, you will: Design, build, and operate Kubernetes-based controllers and distributed services that coordinate infrastructure across sites, isolate failures, and scale as GPU capacity grows. Define APIs and resource models that let clients request and track lifecycle operations through consistent interfaces across hardware platforms and providers. Build provisioning and configuration services that coordinate network boot, hardware management interfaces, and the deployment of firmware,

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. Join Micron’s SSD Hardware Engineering team and help shape the next generation of storage solutions that power data centers, AI infrastructure, client computing, and intelligent edge applications. We are passionate about delivering innovative memory and storage technologies that transform how the world uses information to enrich life for all. Our team works across hardware, firmware, validation, manufacturing, and system engineering to bring industry-leading SSD products to market. As an SSD Hardware Engineer, you will play a key role in the development of next-generation SSD products from concept through production. This is an outstanding opportunity to influence system architecture. You will solve sophisticated high-speed build challenges and drive product quality, performance, and reliability. You will also work with emerging AI-enabled engineering platforms and mechanization technologies. Responsibilities: Lead SSD hardware development activities across the product lifecycle, including design, validation, characterization, and production support Collaborate with technical teams with varied strengths to define requirements, review architectures, and deliver hardware solutions that meet performance, quality, and manufacturability goals Perform signal integrity and power integrity analysis, simulation, validation, and debugging for high-speed interfaces and subsystems Drive board bring-up, hardware debugging, root cause analysis, and technical inve

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore fosters continuous learning and innovation. Job Summary Reporting into the Systems Engineering organisation, the Distinguished Engineer, End-to-End Security Architect will define and lead the security architecture for Graphcore’s inference service platform. This role is responsible for establishing a comprehensive security strategy spanning platform, infrastructure, networking, service operations, customer assurance, and compliance readiness. Working across multiple engineering and operational functions, the successful candidate will provide technical leadership, drive security requirements, and ensure the platform delivers robust protection, resilience, and trust for customers. The Team You will work closely with teams across security architecture, infrastructure engineering, networking, site reliability engineering, platform software, firmware, data centre operations, compliance, legal, customer engineering, and customer security. The team collaborates across the business to deliver secure, reliable, and scalable AI infrastructure and services while supporting customer assurance, regulatory requirements, and operational excellence. Responsibilities and Duties Own the end-to-end security a

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Principal Software Engineer on the Compute team, you will be the technical anchor for Roblox's GPU and AI accelerator capabilities. This is a battle-tested GPU expert role focused on the machine management layer and above: how GPU hosts are made production-ready, kept healthy, and turned into reliable compute for the workloads that depend on them. You will own the hard problems that show up only at scale, from driver and firmware management to GPU health, reliability, and performance across a rapidly growing fleet of accelerators spanning Roblox data centers and cloud environments. You will set the technical direction for GPU compute and up-level the entire organization's GPU expertise. You will: Serve as the GPU technical leader for the Compute team, partnering across Kubernetes, Machine Bootstrap, Networking, and Cloud to drive GPU strategy end to end. Own the GPU host lifecycle above raw fleet management: driver, firmware, and CUDA stack management, GPU health and telemetry, and remediation of GPU-specific failures (XID errors, ECC, thermal, NVLink and fabric faults). Architect how GPU capacity is exposed to compute platforms, including scheduling, isolation, and integration with Ku