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Senior Software Engineer, Corporate Engineering

AnthropicFriendly (Travel | Required) San Francisco | Ca Seattle | Wa New York City, New York, United StatesRemote, Onsite

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. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.As a Sr. Software Engineer, Corporate Engineering at Anthropic, you will play a critical role in ensuring the optimal performance, security, and scalability of our internal technology systems and infrastructure.

You will be part of the Corporate Engineering team responsible for maintaining, optimizing, and innovating Anthropic's IT assets, business applications, workplace technology solutions, and information security practices. 

Responsibilities


  • Software engineering of existing and new software stacks
  • Administer and monitor our team’s core infrastructure components including servers, networks, databases, and cloud services.
  • Collaborate with cross-functional teams to understand business needs and design/implement technology solutions.
  • Develop and document standards, processes, and automation for IT operations and system administration.
  • Implement and maintain security controls, perform risk assessments, and ensure compliance with policies.
  • Provision, configure, and support corporate business applications and productivity tools.
  • Analyze system performance, identify bottlenecks, and drive continuous improvement initiatives.
  • Evaluate new technologies and make recommendations for optimizing Anthropic's technology stack.
  • Assist with IT projects, deployments, upgrades, and changes following defined processes.
  • Assist with the implementations and development of Corporate systems like HRIS, provisioning, and critical business software

You may be a good fit if you


  • Have 7+ years of experience in software engineering, DevOps or related roles.
  • Have strong technical skills across software engineering, programming, systems architecture, scalability, security, cloud technologies and automation.
  • Have a proven ability to quickly learn new technologies and solve complex technical problems.

Strong candidates may also


  • Have experience with Corporate engineering best practices, processes  and performance monitoring tools.
  • Possess a solid understanding of software development principles and coding abilities.
  • Have excellent troubleshooting, analytical and problem-solving capabilities.
  • Have strong communication and collaboration skills for cross-functional work.

Deadline to apply: 

None. Applications will be reviewed on a rolling basis. 
The expected salary range for this position is:Annual Salary:$320,000—$320,000 USD

Logistics


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.

Compensation and Benefits*


Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.Equity - For eligible roles, equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.US Benefits -  The following benefits are for our US-based employees:

  • Optional equity donation matching.
  • Comprehensive health, dental, and vision insurance for you and all your dependents.
  • 401(k) plan with 4% matching.
  • 22 weeks of paid parental leave.
  • Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
  • Stipends for education, home office improvements, commuting, and wellness.
  • Fertility benefits via Carrot.
  • Daily lunches and snacks in our office.
  • Relocation support for those moving to the Bay Area.

UK Benefits -  The following benefits are for our UK-based employees:

  • Optional equity donation matching.
  • Private health, dental, and vision insurance for you and your dependents.
  • Pension contribution (matching 4% of your salary).
  • 21 weeks of paid parental leave.
  • Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
  • Health cash plan.
  • Life insurance and income protection.
  • Daily lunches and snacks in our office.

* This compensation and benefits information is based on Anthropic’s good faith estimate for this position as of the date of publication and may be modified in the future. Employees based outside of the UK or US will receive a different benefits package. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.

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. 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.

Life at Anthropic

Anthropic PBC is a U.S.-based artificial intelligence (AI) startup company, founded in 2021, researching artificial intelligence as a public-benefit company to develop AI systems to “study their safety properties at the technological frontier” and use this research to deploy safe, reliable models for the public. Anthropic has developed a family of large language models (LLMs) named Claude as a competitor to OpenAI’s ChatGPT and Google’s Gemini.
Thrive Here & What We Value1. Mission-driven organization focused on creating safe and beneficial AI systems2. Collaborative team working towards long-term goals of steerable, trustworthy AI3. Emphasis on impact rather than smaller puzzles4. View AI research as an empirical science with physics and biology parallels5. Values communication skills and frequent research discussions to ensure highest-impact work6. Believes in big science approach to AI research7. Collaborative group that values impact over smaller puzzles8. Emphasizes collaboration and alignment across internal teams9. Commitment to creating reliable, interpretable, and steerable AI systems10. Values representation and diverse perspectives on the team.</s>
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