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Anthropic
United States16 days ago
320,000 – 405,000 USD
per year
Grade
Senior
Experience
from 10 years
Work format
Hybrid
English level
B2, upper-intermediate
Relocation
United States
An email or a Telegram message to the recruiter
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.
Training and serving frontier AI models requires compute infrastructure at a scale and density that pushes past what conventional data center designs were built to handle. Anthropic's Data Center Infrastructure team is responsible for delivering that physical infrastructure — partnering with build partners, equipment manufacturers, and utilities to stand up facilities that can reliably power some of the largest accelerator clusters in the industry.
As a Data Center Electrical Engineer – Design, you'll own the electrical architecture of our facilities from the utility service entrance through to the rack — substation interface, medium- and high-voltage distribution, on-site generation and storage integration, UPS, switchgear, busway, and rack power. You'll develop and maintain the basis of design, reference architectures, and technical specifications that our build partners and A/E firms design against, and you'll be the point of technical authority when their drawings and calculations come back for review. You'll run the engineering studies — short-circuit, protection coordination, arc flash, load flow, and power quality — and you'll keep the architecture ahead of rapidly increasing rack densities and the unique load characteristics of large-scale ML training.
A central part of this role is speed-to-capacity through prefabrication: you'll shape Anthropic's offsite-manufactured electrical strategy — modular skids, e-houses, and prefabricated power assemblies — and drive its standardization across sites. You'll work closely with colleagues across the infrastructure team, with our hardware and compute teams to translate accelerator requirements into electrical design criteria, and with supply chain to qualify and diversify regional equipment vendors. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
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.
Anthropic is a public benefit corporation headquartered in San Francisco.
Have 10+ years of electrical engineering experience in mission-critical facilities, with substantial time spent on data center or other high-availability electrical distribution design — from concept through construction documents and into commissioning support
Have deep familiarity with US electrical codes and standards — including the National Electrical Code (NFPA 70/NEC), NFPA 70E, IEEE standards (e.g., 1584 for arc flash), and UL/ANSI equipment standards (e.g., UL 891, UL 1558) — and with utility interconnection processes
Have hands-on experience producing and reviewing electrical construction documents, single-line diagrams, and equipment specifications, and can interpret data center floor plans and technical layouts with confidence
Have strong knowledge of power distribution and cooling infrastructure in high-availability data center environments
Are fluent in power systems analysis and comfortable running or critically reviewing studies in tools such as SKM, ETAP, or EasyPower
Understand critical power topologies (2N, N+1, distributed redundant, block redundant) and can articulate the trade-offs between them for different reliability and cost targets
Have working knowledge of HV/MV substations, on-site generation, and energy storage integration, and how each shapes the overall electrical architecture
Have hands-on experience with prefabricated and modular data center electrical infrastructure — design for offsite manufacture, modular skids/e-houses, and the interfaces between prefabricated components and onsite assembly
Have worked directly with electrical equipment manufacturers, A/E consultants, and contractors, and can evaluate products and designs on technical merit, not just datasheet claims
Hold a bachelor's degree in Electrical Engineering or a closely related field, or have equivalent practical experience; Professional Engineer (PE) licensure is valued but not required
Communicate clearly with both technical peers and non-specialist stakeholders, and are comfortable defending a design position under scrutiny from partners and internal reviewers
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Expect roughly 10–25% travel for design reviews, partner and vendor meetings, factory witness testing, and site visits to support commissioning and startup.
The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary: $320,000 — $405,000 USD
We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
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.
Training and serving frontier AI models requires compute infrastructure at a scale and density that pushes past what conventional data center designs were built to handle. Anthropic's Data Center Infrastructure team is responsible for delivering that physical infrastructure — partnering with build partners, equipment manufacturers, and utilities to stand up facilities that can reliably power some of the largest accelerator clusters in the industry.
As a Data Center Electrical Engineer – Design, you'll own the electrical architecture of our facilities from the utility service entrance through to the rack — substation interface, medium- and high-voltage distribution, on-site generation and storage integration, UPS, switchgear, busway, and rack power. You'll develop and maintain the basis of design, reference architectures, and technical specifications that our build partners and A/E firms design against, and you'll be the point of technical authority when their drawings and calculations come back for review. You'll run the engineering studies — short-circuit, protection coordination, arc flash, load flow, and power quality — and you'll keep the architecture ahead of rapidly increasing rack densities and the unique load characteristics of large-scale ML training.
A central part of this role is speed-to-capacity through prefabrication: you'll shape Anthropic's offsite-manufactured electrical strategy — modular skids, e-houses, and prefabricated power assemblies — and drive its standardization across sites. You'll work closely with colleagues across the infrastructure team, with our hardware and compute teams to translate accelerator requirements into electrical design criteria, and with supply chain to qualify and diversify regional equipment vendors. Expect roughly 10–25% travel for design reviews, partner and vendor meetings, factory witness testing, and site visits to support commissioning and startup.
The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary: $320,000 — $405,000 USD
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
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. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
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