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 Anthropics 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 Anthropics 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 arent 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 youre interested in this work. We think AI systems like the ones were 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.

How were 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. Were 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.