Systems Integration Engineer 1 in Austin

MDM TechnologyMDM Technology, a company affiliated with Dun & Bradstreet, provides enterprise-grade master data management (MDM) solutions that help organizations create a single, trusted view of business entities. By cleansing, matching, linking, and enriching data, anchored by the global standard D‑U‑N‑S® Number business identifier, MDM Technology enables accurate identity resolution across systems to support analytics, compliance, and AI workflows across industries. The Senior Quality Assurance Engineer ensures our software meets user and product needs. The role creates and maintains project test plans, defines and tracks quality assurance metrics, collects and analyzes data for software process evaluation and improvements, and integrates them into business processes combining deep technical expertise in API and Integrations testing and Automation. This role must show a passion for AI enabled Software Quality practices Leveraging modern AI tools to improve testing efficiency, accelerate release cycles, and enhance software reliability across complex enterprise integration.

1418 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. The Electrical Engineer will play a pivotal role in designing innovative hardware systems for AI/ML applications. We are seeking a motivated Electrical Engineer with 2–4 years of experience in schematic capture, PCB design, and server hardware development. This role includes close collaboration with multiple partners to drive designs from concept through mass production. The ideal candidate is comfortable working across organizational boundaries, ensuring design quality, manufacturability, and on-time delivery in a fast-paced environment. Responsibilities: Develop and maintain electrical schematics for various printed circuit assemblies Design and layout multilayer PCBs Work closely with partners to review designs, provide technical guidance, and ensure alignment with system requirements Drive design for manufacturability (DFM), design for assembly (DFA), and design for testability (DFT) Support server subsystem integration Participate in design reviews Support prototype builds, board bring-up, debugging, and validation Track and resolve design issues, including root cause analysis and corrective actions Ensure proper documentation, revision control, and engineering change management (ECO/ECN processes) Requirements: Bachelor’s degree in electrical engineering 2–4 years of experience in schematic capture and PCB design

1743 - This position is in Austin, Texas. Position Summary We are seeking an experienced Board-Level Hardware Validation Engineer to define and execute the validation and verification of complex electronic systems throughout the product lifecycle. This role is responsible for defining validation strategies, developing test plans, executing hands-on testing, analyzing failures, and working directly with ODM partners to ensure products meet performance, reliability, quality, and compliance requirements before mass production. The ideal candidate combines strong electrical engineering fundamentals with practical lab expertise and is comfortable personally performing validation activities while coordinating with cross-functional teams and manufacturing partners. Key Responsibilities Validation Strategy & Planning Define comprehensive board-level and inter-board validation plans based on product requirements, design specifications, and customer use cases. Develop validation methodologies covering functional, electrical, thermal, power, signal integrity, reliability, and stress testing. Establish test coverage, acceptance criteria, qualification requirements, and release gates. Review hardware architecture, schematics, component specifications, and interface topologies to identify validation risks early in the design cycle. Define incremental validation and regression coverage for component substitutions, design changes, and firmware updates. Hands-On Validation Execution Develop, automate, and execute validation tests on prototype and production-intent hardware. Perform board bring-up, functional verification, electrical characterization, and system-level integration testing. Validate communication interfaces, control signals, and timing requirements. Verify power sequencing, reset behavior, leakage current, and recovery across operating states. Execute temperature and voltage corner testing against approved operating limits. Use oscilloscopes, logic an

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 Graphcore Graphcore is a global leader in artificial intelligence computing systems. We design advanced semiconductors and data center hardware 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 AI Engineering Campus in Austin plays an important role in building the hardware platforms that support the next generation of AI systems. The Opportunity We are looking for a recent graduate or early-career engineer to join the Hardware Platform Development team as a Graduate Systems Engineer. You will contribute to the design, integration, validation, and performance analysis of advanced AI compute platforms. You will work with experienced hardware, firmware, software, mechanical, thermal, and systems engineers throughout the development lifecycle. The role combines subsystem engineering, hands-on laboratory work, test automation, data analysis, troubleshooting, and clear technical documentation. Start: September, 2027 Location: Austin, Texas, USA What You Will Do Contribute to the design, integration, and testing of CPU and high-speed input and output subsystems for advanced compute platforms. Take ownership of defined engineering tasks from requirements and test planning through execution, analysis, and technical review. Develop system-level validation plans, procedures, scripts, and tools that improve test coverage, repeatability, data collection, and analysis. Evaluate platform performance, power, signal behavior, reliability, and interoperability using laboratory measurements and system data. Investigate emerging input and output technologies, including PCIe 6.0 and 800G Ethernet, and assess their use in advanced computing systems. Support platform power, cooling, and energy-efficiency investigations, including liquid-cooling systems for high-performance processor

About Graphcore Graphcore is a global leader in artificial intelligence computing systems. We design advanced semiconductors and data center hardware that deliver 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 some of the world’s most transformative technologies. Our new AI Engineering Campus in Austin will play a central role in building the future of AI computing. The Opportunity We are seeking a system validation engineering intern to help drive server blade and rack validation efforts for next-generation AI infrastructure hardware systems. This role focuses on post-silicon system validation across the full lifecycle of server hardware systems, ensuring functional and performance meets product objectives. You will help drive end-to-end blade and rack validation including development, execution, and debug while collaborating across silicon, firmware, systems, and platform teams. The Blade and 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. Type: 12-week summer internship Timing: May - August (exact dates to be confirmed) Commitment: Full-time What You’ll Do Help drive and execute post-silicon validation goals of AI compute blades and racks including testcase planning, development, and automation Help drive validation testcase execution and system debug against program achievements and report validation progress and risks. Drive provisioning and integration of system components (SoC FW, BMC, RMC, OS) for rack-level readiness Triage test failures, collect debug data, and collaborate on root cause analysis. Track validation coverage and continuously improve test processes and infrastructure. What You’ll Bring Working towards a Bachelor's

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

About Graphcore Graphcore is a global leader in artificial intelligence computing systems. We design advanced semiconductors and data center hardware that deliver 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 some of the world’s most transformative technologies. Our new AI Engineering Campus in Austin will play a central role in building the future of AI computing. The Opportunity As a Graduate Performance Engineer, you will contribute to the design, integration, bring-up, and validation of complex server- and rack-level performance of elaborate, large-scale systems. You will work alongside experienced engineers, software developer, and cross-functional partners while building practical skills in component, system and scale up/out performance optimization and design. Start: September, 2027 Location: Austin, Texas, USA What You’ll Do Support the design, peer review, bring-up, and debug of complex server- and rack-level systems. Assist with modeling, design and evaluation of the complete software and hardware stack identifying performance bottlenecks, possible solutions and testing those outcomes. Collaborate with many different teams across both hardware and software development and testing. What You’ll Bring A bachelor’s or master’s degree in electrical engineering, computer engineering, or a related discipline, completed before the role’s start date. Equivalent relevant education or practical experience will also be considered. Foundational knowledge of software development, hardware architecture and general understanding of performance implications. Hands-on experience gained through coursework, laboratories, internships, research, student projects, or personal projects. Ability to analyze technical problems, document your work, communicate clearly, and collaborate effectively. Curiosity, sound engineering judgment, a

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 recent graduate or early-career engineer to join the BMC Engineering team as a Graduate Firmware Engineer. You will develop low-level and embedded firmware that supports the operation, control, monitoring, and validation of advanced compute systems. You will work with experienced firmware, hardware, systems, and software engineers throughout the development lifecycle. The role combines hands-on implementation with automated testing, lab-based debugging, hardware bring-up, and analysis of interactions between firmware and the underlying platform. Start: September, 2027 Location: Austin, Texas, USA What You Will Do Design, implement, test, and maintain system and embedded firmware in C, C++, or Python. Take ownership of defined firmware features and deliver them from requirements and design through implementation, validation, and documentation. Develop and debug firmware in a Linux-based engineering environment using appropriate diagnostic tools and techniques. 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 engineering experiments, analyze test data, and communicate findings clearly. Support lab setup, system configuration, hardware bring-up, and firmware validation on development platforms. Investigate firmware behavior and hardware-software

About DevRev At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. About the team The Applied AI Engineering team ensures our customers get the optimal experience from DevRev. As customers go through their DevRev journey, they may identify needs for integration with existing enterprise systems and services, workflow and process automation, or customization of the DevRev platform to achieve their business objectives. Our team works with customers to understand requirements and design, develop, and implement solutions to meet customer goals. Your mission is to systematically help customers find value with DevRev by developing a thorough understanding of their needs, owning coordination between internal and external stakeholders, and engineering the solution to get the job done. You are a product expert and will use your application development and AI/ML skills to ensure our customers get the most out of the DevRev platform. About the role As a Forward Deployed Engineer at DevRev, you will work closely with our post-sales Customer Experience team to help customers unlock value through AI. You will design and deploy intelligent agents, automated workflows, and integrations that transform how customers operate — connecting DevRev to their broader ecosystem and putting AI to work across

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

Hyliion is committed to creating innovative solutions that enable clean, flexible and affordable electricity production. The Company’s primary focus is to develop distributed power generators that can operate on various fuel sources to future-proof against an ever-changing energy economy. Job Purpose The Manager, Electrical Engineering is responsible for the electrical systems of the KARNO generator, including high-voltage power electronics, battery systems, low- and high-voltage architecture, wiring harnesses, and the hardware that converts linear motion into electrical output. This is a working manager role: the position leads and develops a team of electrical engineers while remaining directly involved in technical execution, including circuit architecture, schematic review, and hardware bring-up in the lab. The Manager is accountable for the technical excellence, safety, and reliability of the electrical engineering function, and for establishing the design standards and review practices the team works to. The position plans team capacity, owns hiring and development for the electrical engineering staff, and partners with mechanical, controls, supply chain, and program management on system integration. KARNO systems are deployed in data center, military, and industrial applications. AI at Hyliion At Hyliion, AI is core to how we work. We equip every team member with leading AI tools and count on you to use them — to move faster, solve harder problems, and help us realize the full potential of KARNO technology for the world. Duties and Responsibilities Own critical electrical designs personally, including regular time at the bench and in the test cell, while leading the team as a practicing engineer. Lead the electrical engineering team in the design and development of KARNO generator electrical systems, including high-voltage power electronics, battery systems, linear generator power stages, and low-voltage controls hardwar

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 DevRev At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. About the team The Applied AI Engineering team ensures our customers get the optimal experience from DevRev. As customers go through their DevRev journey, they may identify needs for integration with existing enterprise systems and services, workflow and process automation, or customization of the DevRev platform to achieve their business objectives. Our team works with customers to understand requirements and design, develop, and implement solutions to meet customer goals. Your mission is to systematically help customers find value with DevRev by developing a thorough understanding of their needs, owning coordination between internal and external stakeholders, and engineering the solution to get the job done. You are a product expert and will use your application development and AI/ML skills to ensure our customers get the most out of the DevRev platform. About the role As a Forward Deployed Architect, you will serve as a hands-on senior technical architect on the Applied AI Engineering team, owning the end-to-end design and delivery of AI-driven business transformation projects. You will work closely with pre-sales teams to scope technical integration and implementation strategies, translating business requirement

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. About the Role The Product Platform Tools team builds and operates Cloudflare's internal support and admin platform - the foundation that customer-facing and operational teams across the company rely on to do their jobs. As a Systems Engineer on this team, you'll design and build the backend services, infrastructure, APIs, and integrations that power this platform at enterprise scale, working closely with both engineering teams and non-engineering