Hardware Systems Engineer - AI Hardware

Cloudflare, Inc.; San Francisco (CA); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Equity plan

Health benefits

401(k) retirement plan

Flexible time off

Parental leave

Job summary

Cloudflare, Inc. is seeking a Hardware Systems Engineer - AI Hardware in Austin, TX to design, qualify, and maintain a global fleet of GPU servers. You will work with Engineering, Product, and Sourcing teams to drive end-to-end hardware qualification across AI compute platforms.

The role requires expertise in AI infrastructure, rack-scale systems, and hands-on benchmarking, with a focus on performance, reliability, and scale. This position emphasizes innovation and cross-team collaboration.

Qualifications

• Experience in AI infrastructure, systems engineering, or hardware platform engineering.
• First-principles understanding of AI accelerator architecture: compute pipelines, memory hierarchy, interconnect topology, and workload mapping to hardware.
• Hands-on experience qualifying AI server platforms with NCCL tests, profiling, and debugging NVLink issues.
• Knowledge of rack-scale systems: high-density power, liquid cooling, high-speed networking, and physical layer constraints.
• Experience with AI/ML frameworks at the systems level and understanding hardware demands.

Responsibilities

• Contribute to the technical requirements and end-to-end delivery of AI infrastructure compute, networking, storage, power, and cooling beyond the accelerator.
• Evaluate, select, and qualify AI hardware platforms based on workload requirements and first-principles analysis.
• Design and validate rack-scale GPU systems: multi-node topologies, interconnects, power distribution, and thermal management.
• Run hands-on qualification: benchmarking, stress testing, failure mode analysis, and vendor RCA.
• Assess and qualify ODM/OEM server platforms; engage directly with vendors through the full qualification cycle.
• Translate AI product and workload requirements into precise infrastructure specifications.
• Identify gaps in the infrastructure stack and drive cross-functional solutions across hardware, firmware, software, and operations.
• Stay ahead of AI hardware landscape and provide informed recommendations.
• Build tooling and automation to support qualification workflows, performance analysis, and ongoing visibility.
• Communicate results through blog posts and internal talks.

Skills

Python

Bash

Go

Linux

NCCL tests

NVLink

InfiniBand

PCIe

Redfish

IPMI

Education

Bachelor/Master/PhD in Computer Engineering, Electrical Engineering or Computer Science

Tools

Redfish

IPMI

NCCL

PCIe

Job description

Austin, TX, United States

Position Title: Hardware Systems Engineer - AI Hardware

About Us

At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the worlds 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 Magazines Top Company Cultures list and ranked among the Worlds Most Innovative Companies by Fast Company.

At Cloudflare, were not looking for people who wait for a polished roadmap; were 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 youre 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, youll fit right in.

Available Locations: Austin, Texas | Lisbon, Portugal

About The Department

Cloudflares Infrastructure group is responsible for building our global network. Our Hardware Engineering team helps research, develop, test, and deploy new equipment enabling 20% of the worlds internet traffic to be served smoothly. Deployed across 330 cities in 120+ countries, the hardware we select helps improve the security, reliability, and performance of the Internet.

About The Role

We need to make thoughtful infrastructure choices affecting a significant portion of the Internet. Hardware we work with includes GPUs, servers and components, as well as PDUs and network hardware. As a Hardware Systems Engineer, you will work with colleagues on the Engineering teams, Product and Performance teams, and Hardware Sourcing teams to design, qualify and maintain Cloudflares worldwide fleet of GPU servers.

What You'll Do

• Contribute to the technical requirements and end-to-end delivery of AI infrastructure compute, networking, storage, power, and cooling not just the accelerator
• Evaluate, select, and qualify AI hardware platforms (GPUs, custom ASICs, SmartNICs, storage) based on real workload requirements and first-principles analysis
• Design and validate rack-scale GPU systems: multi-node topologies, high-speed interconnects (NVLink, InfiniBand, RoCE), power distribution, and thermal management
• Run hands-on qualification: benchmarking, stress testing, failure mode analysis, and vendor RCA you close the loop yourself
• Assess and qualify ODM/OEM server platforms; engage directly with vendors and work through the full technical qualification cycle
• Translate AI product and workload requirements into precise infrastructure specifications
• Identify gaps in the existing infrastructure stack and drive solutions across hardware, firmware, software, and operations
• Stay ahead of the AI hardware landscape new silicon, new interconnects, new form factors and bring informed, opinionated recommendations
• Build tooling and automation to support qualification workflows, performance analysis, and ongoing operational visibility
• Communicate your results and updates through blog posts and internal talks

Examples Of Desirable Skills, Knowledge And Experience

• Bachelors, Masters, or PhD degree in Computer Engineering, Electrical Engineering, or Computer Science
• Experience in AI infrastructure, systems engineering, or hardware platform engineering
• First-principles understanding of AI accelerator architecture: compute pipelines, memory hierarchy (HBM, GDDR), interconnect topology, and/or how workload characteristics map to hardware capabilities
• Hands-on experience qualifying AI server platforms you've run NCCL tests, profiled collective operations, debugged NVLink errors, and chased down PCIe lane misconfigurations
• Understand rack-scale systems: high-density power (kW/rack, busbar, PDU), liquid cooling (rear-door, direct liquid, immersion), high-speed networking infrastructure, and/or physical layer constraints
• Experience with AI/ML frameworks (vllm, sglang) at the systems level you understand what they demand from the hardware and where bottlenecks actually live
• Familiarity with AI server form factors: HGX, OAC, OAM, UBB, open rack standards, and the tradeoffs between them
• Scripting and automation skills (Python, Bash, Go and Linux sysadmin); you build tooling to support your own work and the team's
• Strong written communication you can write a rigorous technical specification and a crisp vendor requirements document
• Knowledge of performance benchmarking ; Previous experience in testing, measuring, and/or simulating hardware performance and an understanding of no-stone-left-unturned experimentation
• Knowledge of Redfish, IPMI and server remote management protocols, and experience with firmware updates
• Harness AI tools and automation to fundamentally accelerate the qualification lifecycle, driving exponential efficiency gains and quality standards.
• Possess the organizational skills and interest to manage cross-functional technical projects, ensuring architectural designs seamlessly align with delivery schedules.
• Thrive as a deeply self-motivated engineer in ambiguous environments, demonstrating a strong bias for action and the ability to drive initiatives forward without close supervision.

Bonus Points

• Experience with major AI server ODMs/OEMs and their qualification and customization processes
• Exposure to hyperscaler or cloud infrastructure design understanding how GPU capacity is provisioned, allocated, and operated at scale
• Experience with RDMA networking, RoCEv2 congestion control, or InfiniBand fabric management
• Understanding of AI workload patterns: LLM training vs. inference, model/tensor/pipeline parallelism, and their memory and bandwidth implications
• Familiarity with open compute hardware programs or OCP specifications
• Experience of performance optimization based on hardware / software codesign
• Experience of kernel development, compiler optimization, or driver development.
• Experience of observability and monitoring tools such as Prometheus and Grafana, as well as the ability to observe trends over time
• Experience with software development tools and processes such as Git, TeamCity and Jira
• Experience in a hyperscale cloud infrastructure role also valuable
• Knowledge of debugging server hardware faults and the ability to engage with our sourcing team and vendors to improve quality

Who You Are

• A self-starter who identifies what needs to be done and executes without waiting to be asked
• Genuinely curious you read architecture whitepapers, follow chip announcements, and have opinions on why one memory subsystem beats another
• Equally comfortable racking servers in a lab and writing a detailed technical requirements document
• Able to make a defensible technical decision with incomplete information, and communicate the reasoning clearly

Compensation

Compensation may be adjusted depending on work location.

• For Lisbon based hires: Estimated annual salary of 54,000-68,000

Equity

This role is eligible to participate in Cloudflares equity plan.

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

Health & Welfare Benefits

• Medical/Rx Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Accounts
• Commuter Spending Accounts
• Fertility & Family Forming Benefits
• On-demand mental health support and Employee Assistance Program
• Global Travel Medical Insurance

Financial Benefits

• Short and Long Term Disability Insurance
• Life & Accident Insurance
• 401(k) Retirement Savings Plan
• Employee Stock Participation Plan

Time Off

• Flexible paid time off covering vacation and sick leave
• Leave programs, including parental, pregnancy health, medical, and bereavement leave

What Makes Cloudflare Special?

We're not just a highly ambitious, large-scale technology company. We're a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflares enterprise customers--at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Heres the deal - we dont store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

Cloudflare is proud to be an equal opportunity employer.

We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.

All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.

We are an AA/Veterans/Disabled Employer.

Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at [e-mail] or via mail at 101 Townsend St. San Francisco, CA 94107.

Equal employment opportunity, including veterans and individuals with disabilities.