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Cloudflare

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Cloudflare

Hardware Systems Engineer - AI Hardware

Cloudflare operates a global network that speeds up and protects millions of online properties worldwide. The organization is seeking a Hardware Systems Engineer focused on AI…

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Role Snapshot

Work arrangement
Remote
Where applicants may be
Applicants in United States only
Salary
EUR 54,000 - 68,000/yr
Apply by
Not specified
Employment type
Full-time
Experience
Not specified
Added to Jobsiz2h agoEmployer posted Nov 5, 2026
Listing Views1
Applications0
Apply BeforeNo deadline

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About this role

Hardware Systems Engineer - AI Hardware at Cloudflare is a full-time role. Work arrangement: Remote. Location: Applicants in United States only. The listed pay is EUR 54,000 - 68,000/yr. It was posted on Nov 5, 2026. This listing is paused and not taking applications at the moment.

Job Description

Cloudflare operates a global network that speeds up and protects millions of online properties worldwide. The organization is seeking a Hardware Systems Engineer focused on AI Hardware to join its Infrastructure group, which researches, develops, tests, and deploys equipment supporting a significant portion of internet traffic. In this capacity, the professional will shape infrastructure decisions involving specialized computing equipment, networking hardware, and power systems.

The position suits individuals who possess a strong curiosity for hardware architecture, prefer hands-on lab work alongside documentation tasks, and operate effectively in ambiguous situations with a high degree of autonomy. The person selected will collaborate with internal engineering teams, product groups, performance experts, and sourcing professionals to manage the lifecycle of global GPU server fleets. Responsibilities include defining technical specifications, evaluating server platforms, designing multi-node setups, conducting rigorous stress testing, and partnering directly with original design and manufacturing vendors.

Candidates will investigate emerging silicon technologies, build automation tools to streamline workflows, and communicate technical findings internally and externally. Qualified individuals can participate in equity plans and receive a comprehensive benefits package that encompasses health coverage, retirement savings plans, and flexible paid time off. Compensation varies by work location, with an estimated annual salary range of €54,000 to €68,000 designated for hires based in Lisbon.

Responsibilities

  • Contribute to technical specifications and end-to-end delivery of artificial intelligence infrastructure including compute, networking, storage, power, and cooling
  • Evaluate, select, and qualify platforms such as GPUs, custom application-specific integrated circuits, and SmartNICs based on workload demands
  • Design and validate multi-node topologies, high-speed interconnects, power distribution, and thermal management for rack-scale systems
  • Perform hands-on qualification activities including benchmarking, stress testing, failure mode analysis, and vendor root cause analysis
  • Engage directly with original design and manufacturing vendors through the complete technical qualification cycle
  • Translate product and workload requirements into precise infrastructure specifications
  • Identify operational and infrastructural gaps and drive solutions spanning hardware, firmware, software, and operations
  • Build automation and scripting tools to support qualification workflows and performance analysis
  • Share technical updates and results via internal presentations and public blog posts

Requirements

  • Hands-on experience qualifying artificial intelligence server platforms, executing NCCL tests, profiling collective operations, and debugging interconnect or bus errors
  • Familiarity with rack-scale systems covering high-density power, liquid cooling methods, and physical layer constraints
  • Proficiency in scripting and automation utilizing Python, Bash, or Go alongside Linux system administration
  • Familiarity with server remote management protocols such as Redfish and IPMI, along with firmware update experience
  • Strong written communication skills for creating technical specifications and vendor documentation

Qualifications

  • Bachelor’s, Master’s, or PhD degree in Computer Engineering, Electrical Engineering, or Computer Science
  • Prior experience in artificial intelligence infrastructure, systems engineering, or hardware platform engineering
  • First-principles understanding of accelerator architectures including compute pipelines, memory hierarchies, and interconnect topologies
  • Familiarity with artificial intelligence and machine learning frameworks at the systems level
  • Experience with server form factors including HGX, OAC, OAM, UBB, and open rack standards
  • Previous exposure to major server vendors, hyperscale cloud infrastructure, or open compute hardware programs
  • Knowledge of RDMA networking, InfiniBand fabric management, and artificial intelligence workload patterns
  • Experience with compiler, kernel, or driver development, as well as observability tools like Prometheus and Grafana

Core Skills

Benefits

  • Equity plan eligibility
  • Medical and prescription insurance coverage
  • Dental and vision insurance plans
  • Flexible spending accounts and commuter spending accounts
  • Fertility and family forming benefits
  • On-demand mental health support and employee assistance program
  • Global travel medical insurance
  • Short and long term disability insurance
  • Life and accident insurance
  • Retirement savings plan
  • Employee stock participation plan
  • Flexible paid time off covering vacation and sick leave
  • Parental, pregnancy health, medical, and bereavement leave programs

Frequently Asked Questions

Answers are based only on the employer’s listing; where it doesn’t say, neither do we.

What is the salary for this role?

The estimated annual salary for Lisbon-based hires ranges from €54,000 to €68,000, and compensation may be adjusted based on work location.

What are the core duties of the Hardware Systems Engineer?

The role involves evaluating and qualifying artificial intelligence hardware platforms, designing rack-scale GPU systems, conducting hands-on benchmarking and stress testing, and collaborating with vendors.

What educational background is required?

The posting lists a Bachelor’s, Master’s, or PhD degree in Computer Engineering, Electrical Engineering, or Computer Science as a desirable qualification.

Does the position include benefits?

Yes, Cloudflare offers medical, dental, and vision insurance, retirement savings plans, equity eligibility, flexible paid time off, and various leave programs, though specific benefits can vary outside the United States.

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Posted by Cloudflare

Source: Remote First Jobs — Writing

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Posted by employer: Nov 5, 2026

Added to Jobsiz: Nov 9, 2026

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The description was written by Jobsiz from the employer’s listing. Always check the original listing before applying.

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