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.

We protect and accelerate 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.

Role Summary

The Infrastructure Services Engineer is a foundational execution role within Cloudflare’s Integrated Hardware Systems team, supporting the delivery of outsourced data center and infrastructure services that enable global hardware deployments at scale. This role focuses on day-to-day service execution, delivery tracking, and operational follow-through across Cloudflare’s data center footprint.

Role Responsibilities

• Support the execution and oversight of outsourced data center and infrastructure services supporting hardware deployment and lifecycle operations.
• Track service delivery related to rack installation, deployment support, remote hands, and in-data-center activities, ensuring work is completed to defined expectations.
• Identify delivery risks, service gaps, and recurring issues, escalating concerns and supporting resolution as needed.
• Analyze service performance, deployment trends, and vendor metrics to support operational insight and reporting.
• Maintain dashboards, trackers, and recurring operational reports used to monitor execution and service health.
• Support service reviews, readiness assessments, and onboarding activities for new sites and deployment waves.
• Serve as an operational liaison between Integrated Hardware Systems, Infrastructure Operations, Engineering, Procurement, and external service vendors to ensure clarity on responsibilities, handoffs, and escalation paths.

Role Requirements

Must-Have Skills

Experience supporting infrastructure operations, data center services, or hardware deployment activities. Familiarity with data center environments, rack-level hardware, or infrastructure build-out processes. Strong analytical skills with experience using spreadsheets, dashboards, or trackers to monitor execution and performance. Comfort working with operational metrics, SLAs, and service indicators. Clear written and verbal communication skills, with the ability to coordinate across teams and with external vendors. Strong sense of ownership, follow-through, and accountability in execution-heavy environments. Ability to operate effectively in fast-moving, operationally complex settings.

Nice-to-Have Skills

Experience working with outsourced service providers or vendor-managed operational models. Exposure to large-scale infrastructure deployments or global data center operations. Familiarity with service reviews, vendor evaluations, or commercial performance tracking.

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 Cloudflare’s 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.

Here’s the deal - we don’t 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.

Sound like something you’d like to be a part of? We’d love to hear from you!

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 hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

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The Environment Scaling team is a team of researchers and engineers whose goal is to improve the intelligence of our public models for novel verticals and use cases. The team builds the training environments that fuel RL at scale. This is a unique role that combines executing directly on ML research, data operations, and project management to improve our models.

Responsibilities:

• Improve and execute our fine-tuning strategies for adapting Claude to new domains and tasks
• Manage technical relationships with external data vendors, including evaluation of data quality and reward design
• Collaborate with domain experts to design data pipelines and evaluations
• Explore novel ways of creating RL environments for high value tasks
• Develop and improve QA frameworks to catch reward hacking and ensure environment quality
• Partner with other RL research teams and product teams to translate capability goals into training environments and evals

You may be a good fit if you:

• Have experience with fine-tuning large language models for specific domains or real-world use cases and/or domain expertise in an area where we would like to make our models more useful.
• Have experience with reinforcement learning, reward design, or training data curation for LLMs
• Are comfortable managing technical vendor relationships and iterating quickly on feedback
• Find value in reading through datasets to understand them and spot issues
• Have strong project management and interpersonal skills
• Are passionate about making AI more useful and accessible across different industries
• Are excited about a role that includes a combination of ML research, data operations, and project management

Strong candidates may also:

• Have experience training production ML systems
• Be familiar with distributed systems and cloud infrastructure
• Have domain expertise in an area where we would like to make our models more useful
• Have experience working with external vendors or technical partners

The annual compensation range for this role is $350,000-$850,000 USD.

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In this role, you will work closely with physicists, engineers, and technicians to assemble, test, and support advanced RF and cryogenic systems that enable next-generation quantum processors. You will be responsible for operating and maintaining cryogenic infrastructure, characterizing custom RF hardware, developing best practices, and troubleshooting complex systems that span RF, vacuum, cryogenics, and electronics.

Key responsibilities include:

• Test, validate, and debug custom RF control systems using advanced electronic test equipment such as network analyzers, oscilloscopes, DMMs, and internally developed tools

• Operate, troubleshoot, service, and maintain cryogenic and vacuum systems, including scroll pumps, turbo pumps, cryo compressors, high-vacuum components, and cold traps

• Perform helium leak detection, pump rebuilds, and thermal system management

• Assemble, validate, and install complex electro-mechanical, cryogenic, vacuum, and RF assemblies with exceptional attention to detail

• Contribute to test plan development and execute validation testing for next-generation RF hardware

• Participate in an on-call rotation to support cryogenic systems uptime

• Prepare, inspect, and package quantum chip assemblies for testing

• Follow established procedures and contribute to the creation and improvement of standard operating procedures and best practices

• Read and interpret CAD drawings, schematics, and engineering specifications

• Support external system installations and work directly with customers and partners (up to ~20% travel)

Ideal candidate:

• Technical background in Physics, Engineering, or a related field, or equivalent industrial or military experience (MS or PhD a plus)

• Strong proficiency with general-purpose electronic test equipment (oscilloscopes, network analyzers, multimeters, DC power supplies, etc.)

• Substantial hands-on experience working with sub-Kelvin cryogenic systems

• Experience operating and maintaining high-availability laboratory or industrial equipment

• Experience assembling, servicing, and maintaining scientific instruments or complex electro-mechanical systems

• Familiarity with vacuum systems, vacuum plumbing, P&IDs, and standard fittings and practices

• Working knowledge of statistical methods for test and validation (e.g., DOE, Six Sigma, simulation)

• Strong troubleshooting, documentation, and communication skills

• Experience working with external vendors and partners

Nice to have:

• Hands-on experience with dilution refrigerators or similar ultra-low-temperature cryogenic systems

• Programming or scripting experience in Python or related languages

Additional information:

• As engineering leaders, we value diversity and are committed to building a culture of inclusion to attract and engage innovative thinkers. Our technology, meant to serve all of humanity, cannot succeed if those who built it do not mirror the diversity of the communities we serve. Applications from women, minorities, and other under-represented groups are encouraged.

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The Environment Scaling team is a team of researchers and engineers whose goal is to improve the intelligence of our public models for novel verticals and use cases. The team builds the training environments that fuel RL at scale. This is a unique role that combines executing directly on ML research, data operations, and project management to improve our models. You'll own the end-to-end process of creating RL environments for new capabilities: identifying high-value tasks, designing reward signals, managing vendor relationships, and measuring impact on model performance.

Responsibilities:

• Improve and execute our fine-tuning strategies for adapting Claude to new domains and tasks
• Manage technical relationships with external data vendors, including evaluation of data quality and reward design
• Collaborate with domain experts to design data pipelines and evaluations
• Explore novel ways of creating RL environments for high value tasks
• Develop and improve QA frameworks to catch reward hacking and ensure environment quality
• Partner with other RL research teams and product teams to translate capability goals into training environments and evals

You may be a good fit if you:

• Have experience with fine-tuning large language models for specific domains or real-world use cases and/or domain expertise in an area where we would like to make our models more useful.
• Have experience with reinforcement learning, reward design, or training data curation for LLMs
• Are comfortable managing technical vendor relationships and iterating quickly on feedback
• Find value in reading through datasets to understand them and spot issues
• Have strong project management and interpersonal skills
• Are passionate about making AI more useful and accessible across different industries
• Are excited about a role that includes a combination of ML research, data operations, and project management

Strong candidates may also:

• Have experience training production ML systems
• Be familiar with distributed systems and cloud infrastructure
• Have domain expertise in an area where we would like to make our models more useful
• Have experience working with external vendors or technical partners

Logistics

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco, CA.

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