Full-Time

Sr. Software Engineer

Infrastructure

Confirmed live in the last 24 hours

Anthropic

Anthropic

1,001-5,000 employees

Develops reliable and interpretable AI systems

Enterprise Software
AI & Machine Learning

Compensation Overview

$300k - $320kAnnually

Senior, Expert

H1B Sponsorship Available

Seattle, WA, USA + 2 more

More locations: San Francisco, CA, USA | New York, NY, USA

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time.

Category
Backend Engineering
Software Engineering
Required Skills
Kubernetes
Rust
Python
Java
AWS
Go
Google Cloud Platform
Requirements
  • Have 8+ years of relevant industry experience, 3+ years leading large scale, complex projects or teams as an engineer or tech lead
  • Are obsessed with distributed systems at scale, infrastructure reliability, scalability, security, and continuous improvement
  • Strong proficiency in at least one programming language (e.g., Python, Rust, Go, Java)
  • Strong problem-solving skills and ability to work independently
  • Have a passion for supporting internal partners like research to understand their needs
  • Have excellent communication skills to build consensus with stakeholders, both internally and externally
  • Possess deep knowledge of modern cloud infrastructure including Kubernetes, Infrastructure as Code, AWS, and GCP
Responsibilities
  • Lead build out of industry-leading AI clusters (thousands to hundreds of thousands of machines), partnering closely with cloud service providers on cluster build out and required features
  • Consult with different stakeholders to deeply understand infrastructure, data and compute needs, identifying potential solutions to support frontier research and product development
  • Set technical strategy and oversee development of high scale, reliable infrastructure systems
  • Mentor top technical talent
  • Design processes (e.g. postmortem review, incident response, on-call rotations) that help the team operate effectively and never fail the same way twice
Desired Qualifications
  • Have security and privacy best practice expertise
  • Experience with machine learning infrastructure like GPUs, TPUs, or Trainium, as well as supporting networking infrastructure like NCCL
  • Low level systems experience, for example linux kernel tuning and eBPF
  • Technical expertise: Quickly understanding systems design tradeoffs, keeping track of rapidly evolving software systems

Anthropic focuses on creating reliable and interpretable AI systems. Its main product, Claude, serves as an AI assistant that can manage tasks for clients across various industries. Claude utilizes advanced techniques in natural language processing, reinforcement learning, and code generation to perform its functions effectively. What sets Anthropic apart from its competitors is its emphasis on making AI systems that are not only powerful but also understandable and controllable by users. The company's goal is to enhance operational efficiency and improve decision-making for its clients through the deployment and licensing of its AI technologies.

Company Stage

Growth Equity (Venture Capital)

Total Funding

$11.5B

Headquarters

San Francisco, California

Founded

2021

Growth & Insights
Headcount

6 month growth

12%

1 year growth

16%

2 year growth

14%
Simplify Jobs

Simplify's Take

What believers are saying

  • Anthropic's $60B valuation reflects strong market confidence and growth potential.
  • Partnership with Panasonic on Umi app opens consumer-focused AI wellness opportunities.
  • Significant funding provides resources for AI safety and interpretability research.

What critics are saying

  • Competition from LlamaV-o1 challenges Claude's market position in reasoning tasks.
  • Ongoing lawsuit with music publishers may affect Anthropic's financial stability.
  • Lag in technology development compared to OpenAI may hinder client attraction.

What makes Anthropic unique

  • Anthropic focuses on AI safety, transparency, and alignment with human values.
  • Claude, Anthropic's AI assistant, handles tasks at any scale for diverse industries.
  • Anthropic's research spans natural language, reinforcement learning, and code generation.

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Benefits

Flexible Work Hours

Paid Vacation

Parental Leave

Hybrid Work Options

Company Equity