Data Center Electrical Engineer at Anthropic designing electrical infrastructure for large-scale AI training facilities. Owns electrical design from building service entrance through rack, develops reference designs, and partners with build teams on high-density accelerator clusters.
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 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, you'll own the electrical design of our facilities from the building service entrance through to the rack. You'll develop and maintain the reference designs and specifications our build partners work against, review their engineering submittals, and run the analysis needed to make confident decisions on topology, redundancy, and equipment selection. You'll ensure the electrical architecture keeps pace with rapidly increasing rack densities and the unique load characteristics of large-scale ML training.
This is a highly cross-functional role. You'll work closely with our hardware and compute teams to translate accelerator requirements into electrical design criteria, and with supply chain to qualify equipment vendors and create optionality in a constrained market. Strong candidates will bring deep mission-critical electrical design experience and the judgment to make sound trade-offs when the standard playbook doesn't apply.
Develop and maintain Anthropic's electrical basis of design, reference architectures, and technical specifications for critical power distribution — covering switchgear, UPS systems, PDUs, busway, and rack power delivery
Review and approve electrical design packages from build partners and MEP consultants, ensuring designs meet capacity, reliability, and maintainability requirements
Perform and validate engineering studies including short-circuit, coordination, arc flash, load flow, and power quality analysis; use findings to steer design decisions and equipment selection
Partner with external engineering and manufacturing teams to evaluate DC construction efficiency opportunities, develop productization roadmap and modular product strategy to enable accelerated DC acceleration and onsite labor reduction.
Evaluate and qualify electrical equipment vendors and product lines; work with supply chain to build a diversified vendor base that mitigates lead-time and single-source risk
Drive standardization of electrical designs across sites to accelerate deployment timelines while preserving flexibility for site-specific constraints and evolving hardware generations
Influence industry specifications and engage with equipment manufacturers on roadmap requirements for high-density, ML-optimized electrical infrastructure
Provide technical oversight during construction and commissioning phases, resolving field engineering issues and reviewing test results against design intent
Have 8+ years of electrical engineering experience in mission-critical facilities, with substantial time spent on data center or other high-availability electrical distribution design
Hold a degree in Electrical Engineering or a closely related field; PE licensure is valued but not required
Have hands-on experience producing and reviewing electrical construction documents, single-line diagrams, and equipment specifications, as well as development of prefabricated products and modularization towards offsite manufacturing
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 worked directly with electrical equipment manufacturers and can evaluate products on technical merit, not just datasheet claims
Communicate clearly with both technical peers and non-specialist stakeholders, and can defend a design position when challenged
Are results-oriented, with a bias toward practical solutions and a willingness to pick up work outside your core remit when the team needs it
Experience building modular prefabricated products in electrical or mechanical areas of the datacenter
Background in medium-voltage distribution, on-site generation, or energy storage integration
Exposure to liquid-cooled infrastructure and its implications for electrical room layout and load distribution
Familiarity with NFPA 70/70E, IEEE color book series, and relevant international electrical codes for multi-region deployments
Prior work at a hyperscaler, colocation provider, or MEP consultancy serving large data center clients
Experience driving reference designs or standards adopted across multiple sites or by external partners
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.
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
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. 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.
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.
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. 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