Location: Remote-Friendly, United States

About Anthropic

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.

About the Role

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.

Responsibilities

• 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

You May Be a Good Fit If You

• 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

Strong Candidates May Also Have

• 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

Logistics

• 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.

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 Key Projects, Focusing On Developing Groundbreaking AI Systems That Can Help Solve Some Of Humanity's Most Pressing Challenges.

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Microsoft AI are looking for a talented Member of Technical Staff, Evaluations Engineer to help build the next wave of capabilities of our personalized AI assistant, Copilot. We’re looking for someone who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective.

About the Role

We are looking for a highly skilled and experienced engineer to join our Evaluations Engineering team. As a Member of Technical Staff, Evaluations Engineer, you will be responsible for developing and tuning the pretraining scalable software for Nvidia GB200 72NVL CX8 and AMD MIxxx architectures. You will also be responsible for benchmarking GB200 and AMD MIxxx GPU clusters, gathering data and insights to develop the pretraining compute roadmap, and caring deeply about conversational AI and its deployment.

Accountabilities

• Develop and tune the pretraining scalable software for Nvidia GB200 72NVL CX8 and AMD MIxxx architectures.
• Benchmark GB200 and AMD MIxxx GPU clusters.
• Gather data and insights to develop the pretraining compute roadmap.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Technical skills:

• Experience with generative AI.
• Experience with distributed computing.

Personal attributes:

• Enjoy working in a fast-paced, design-driven, product development cycle.
• Embody our Culture and Values.

Benefits

• Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year.
• Software Engineering IC6 – The typical base pay range for this role across the U.S. is USD $163,000 – $296,400 per year.

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Member of Technical Staff, Evaluations Engineer to help build the next wave of capabilities of our personalized AI assistant, Copilot. We’re looking for someone who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective.

About the Role

We are looking for a highly skilled and experienced Evaluations Engineer to join our team. As an Evaluations Engineer, you will be responsible for developing and tuning the pretraining scalable software for Nvidia GB200 72NVL CX8 and AMD MIxxx architectures. You will also be responsible for benchmarking GB200 and AMD MIxxx GPU clusters, gathering data and insights to develop the pretraining compute roadmap, and caring deeply about conversational AI and its deployment.

Accountabilities

• Develop and tune the pretraining scalable software for Nvidia GB200 72NVL CX8 and AMD MIxxx architectures.
• Benchmark GB200 and AMD MIxxx GPU clusters.
• Gather data and insights to develop the pretraining compute roadmap.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Technical skills:

• Experience with generative AI.
• Experience with distributed computing.

Personal attributes:

• Enjoy working in a fast-paced, design-driven, product development cycle.
• Embody our Culture and Values.

Benefits

• Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year.
• Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location.

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Microsoft AI are looking for a talented Member of Technical Staff, Reinforcement Learning Systems to help build the world's most advanced reinforcement learning systems. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology.

About the Role

We are responsible for designing, developing, and operating the large-scale reinforcement learning systems that power several use cases across the Superintelligence team. We are looking for individuals who can contribute to cutting-edge research and help bridge the gap between cutting-edge research and robust, production-grade distributed systems. The ideal candidate has both distributed systems expertise and a scientific mindset and will be able to build complex and scalable systems from the ground up, identify and resolve performance bottlenecks, debug complex, cross-system issues with extremely high attention to detail, and contribute to solving scientific and research challenges.

Accountabilities

• Develop and tune the pretraining scalable software for Nvidia GB200 72NVL CX8 and AMD MIxxx architectures.
• Benchmark GB200 and AMD MIxxx GPU clusters.
• Gather data and insights to develop the pretraining compute roadmap.

The Candidate we're looking for

Experience:

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Technical skills:

• Experience with generative AI.
• Experience with distributed computing.

Personal attributes:

• A high degree of craftsmanship and pay close attention to details.
• Enjoy working in a fast-paced, design-driven, product development cycle.

Benefits

• Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year.
• There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area.

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Member of Technical Staff, Reinforcement Learning Systems to help build the world's most advanced reinforcement learning systems. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology.

About the Role

We are responsible for designing, developing, and operating the large-scale reinforcement learning systems that power several use cases across the Superintelligence team. We are looking for individuals who can contribute to cutting-edge research and help bridge the gap between cutting-edge research and robust, production-grade distributed systems. The ideal candidate has both distributed systems expertise and a scientific mindset and will be able to build complex and scalable systems from the ground up, identify and resolve performance bottlenecks, debug complex, cross-system issues with extremely high attention to detail, and contribute to solving scientific and research challenges.

Accountabilities

• Develop and tune the pretraining scalable software for Nvidia GB200 72NVL CX8 and AMD MIxxx architectures.
• Benchmark GB200 and AMD MIxxx GPU clusters.
• Gather data and insights to develop the pretraining compute roadmap.

The Candidate we're looking for

Experience:

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Technical skills:

• Experience with generative AI.
• Experience with distributed computing.

Personal attributes:

• A high degree of craftsmanship and pay close attention to details.
• Enjoy working in a fast-paced, design-driven, product development cycle.

Benefits

• Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year.
• There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay

XML job scraping automation by YubHub

Microsoft AI are looking for a talented Member of Technical Staff, Reinforcement Learning Systems to help build the world's most advanced reinforcement learning systems. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology.

About the Role

We are responsible for designing, developing, and operating the large-scale reinforcement learning systems that power several use cases across the Superintelligence team. We are looking for individuals who can contribute to cutting-edge research and help bridge the gap between cutting-edge research and robust, production-grade distributed systems. The ideal candidate has both distributed systems expertise and a scientific mindset and will be able to build complex and scalable systems from the ground up, identify and resolve performance bottlenecks, debug complex, cross-system issues with extremely high attention to detail, and contribute to solving scientific and research challenges.

Accountabilities

• Develop and tune the pretraining scalable software for Nvidia GB200 72NVL CX8 and AMD MIxxx architectures.
• Benchmark GB200 and AMD MIxxx GPU clusters.
• Gather data and insights to develop the pretraining compute roadmap.

The Candidate we're looking for

Experience:

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Technical skills:

• Experience with generative AI.
• Experience with distributed computing.

Personal attributes:

• A high degree of craftsmanship and pay close attention to details.
• Enjoy working in a fast-paced, design-driven, product development cycle.

Benefits

• Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year.
• There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area

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What you'll do

Responsible for the development and implementation of System Design Solutions using Synopsys EDA tools and IP to solve customer problems as part of a service project team. Contributes to both turnkey projects and as a trusted advisor to customer design. Develop innovative solutions to problems with little guidance and implement them independently. Set task-level goals and consistently meet schedules. Works with other Synopsys teams including BU AEs and Sales to develop, broaden and deploy Tool and IP solutions.

• Synthesis
• LEC
• LDRC
• GCA
• STA
• PTPX

What you need

• 2 - 4 years of related experience.
• Good of ASIC/SOC design, synthesis, timing closure.
• Familiar with Synthesis, LEC, STA flow.
• It’s a plus if you have experience in low-power, high-performance design, advanced nodes under 12nm.
• Knowledge of RTL, DFT, LDRC, GCA, VCLP, PTPX, IREM is advantageous.
• Familiar with scripting languages, such as TCL, Perl, Python.
• Good English/communication skills and willingness to work with customer.
• BS or MS with an EE or related major

XML job scraping automation by YubHub

What you'll do

Responsible for the development and implementation of System Design Solutions using Synopsys EDA tools and IP to solve customer problems as part of a service project team. Contributes to both turnkey projects and as a trusted advisor to customer design. Develop innovative solutions to problems with little guidance and implement them independently. Set task-level goals and consistently meet schedules. Works with other Synopsys teams including BU AEs and Sales to develop, broaden and deploy Tool and IP solutions.

• Synthesis
• LEC
• LDRC
• GCA
• STA
• PTPX

What you need

• 6-12 years of related experience.
• Good of ASIC/SOC design, synthesis, timing closure.
• Familiar with Synthesis, LEC, STA flow.
• It’s a plus if you have experience in low-power, high-performance design, advanced nodes under 12nm.
• Knowledge of RTL, DFT, LDRC, GCA, VCLP, PTPX, IREM is advantageous.
• Familiar with scripting languages, such as TCL, Perl, Python.
• Good English/communication skills and willingness to work with customer.
• BS or MS with an EE or related major

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