Software Engineer, Networking

About Anthropic

Anthropics 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.

About the Role

Were looking for experienced network engineers who are also skilled software developers to help build and scale the networking infrastructure that powers Claude and our AI research. This is a hands-on role where youll work on everything from physical network builds to software-defined networking from extending connectivity to new data center sites to building robust monitoring and automation systems. The bytes must flow!

Youll be joining a small growing team working on mission-critical infrastructure for one of the most exciting AI systems in the world. This role requires both technical depth in networking and the flexibility to solve problems across the stackfrom configuring routers to writing Python automation from troubleshooting physical connectivity to designing scalable network architectures.

Key Responsibilities

• Build and operate production networks : Design deploy and maintain high-performance networks across multiple data center sites including managing physical infrastructure routing protocols and network security
• Develop network automation and tooling : Write software to automate network provisioning configuration management and operational workflows
• Ensure reliability and performance : Implement comprehensive monitoring build debugging tools investigate outages and drive continuous reliability improvements
• Scale networking infrastructure : Plan and execute network expansions to new sites and facilities including working with vendors managing physical builds and migrating live traffic
• Collaborate cross-functionally : Partner with compute storage and ML infrastructure teams to optimize network performance for AI workloads and troubleshoot complex distributed systems issues
• Incident response : Participate in on-call rotation and lead response to network-related incidents

About You

Were looking for engineers who think of themselves as problem-solvers first who happen to have deep networking expertise. The ideal candidate has :

Required :

Preferred :

What makes a great fit :

The expectedbase compensation for this position is below. Our total compensation package for full-time employees includes equity benefits and may include incentive compensation.

Annual Salary :

$320000 - $485000 USD

Logistics

Education requirements : We require at least a Bachelors degree in a related field or equivalent experience.

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. Guidance on Candidates AI Usage : Learn about our policyfor using AI in our application process

Key Skills

Catering,Computer Data Entry,Marketing & Operations,Application Engineering,Hospital

Employment Type : Full Time

Experience : years

Vacancy : 1

Monthly Salary Salary : 320000 - 485000