
About Anthropic
Building safe and reliable AI systems for everyone
Key Highlights
- Headquartered in SoMa, San Francisco, CA
- Raised $29.3 billion in funding, including $13 billion Series F
- Over 1,000 employees focused on AI safety and research
- Launched Claude, an AI chat assistant rivaling ChatGPT
Anthropic, headquartered in SoMa, San Francisco, is an AI safety and research company focused on developing reliable, interpretable, and steerable AI systems. With over 1,000 employees and backed by Google, Anthropic has raised $29.3 billion in funding, including a monumental Series F round of $13 b...
🎁 Benefits
Anthropic offers comprehensive health, dental, and vision insurance for employees and their dependents, along with inclusive fertility benefits via Ca...
🌟 Culture
Anthropic's culture is rooted in AI safety and reliability, with a focus on producing less harmful outputs compared to existing AI systems. The compan...
Skills & Technologies
Overview
Anthropic is seeking a Senior Software Engineer specializing in Infrastructure to support the development and maintenance of cutting-edge AI systems. You'll work with technologies like AWS, Docker, and Kubernetes to ensure reliable and scalable infrastructure. This role requires significant experience in infrastructure engineering.
Job Description
Who you are
You have 5+ years of experience in infrastructure engineering, with a strong background in building and maintaining scalable systems. Your expertise in cloud technologies, particularly AWS, allows you to design and implement robust infrastructure solutions that support high-demand applications. You are proficient in containerization and orchestration tools such as Docker and Kubernetes, enabling you to streamline deployment processes and enhance system reliability.
You possess a solid understanding of networking concepts and security practices, ensuring that the systems you build are not only efficient but also secure. Your experience with programming languages, particularly Python, equips you to automate processes and improve system performance. You thrive in collaborative environments, working closely with researchers and engineers to align infrastructure capabilities with the needs of AI development.
Desirable
Familiarity with machine learning frameworks and tools is a plus, as it helps you understand the unique challenges faced in AI system development. Experience with monitoring and logging tools will enhance your ability to maintain system health and performance.
What you'll do
In this role, you will be responsible for designing and implementing infrastructure solutions that support Anthropic's mission to create safe and beneficial AI systems. You will work on building massive clusters for training AI models, ensuring that production infrastructure serves millions of users reliably. Your contributions will directly impact the performance and scalability of AI technologies, allowing researchers to focus on innovation without worrying about underlying infrastructure challenges.
You will collaborate with cross-functional teams to identify infrastructure needs and develop solutions that meet those requirements. This includes optimizing existing systems for performance and reliability, as well as implementing new technologies that enhance the overall infrastructure landscape. You will also play a key role in troubleshooting and resolving infrastructure-related issues, ensuring minimal downtime and disruption to services.
Your work will involve continuous learning and adaptation, as you will be at the forefront of solving novel scaling challenges in the AI domain. You will have the opportunity to contribute to the development of frontier models, pushing the boundaries of what is possible in AI technology.
What we offer
At Anthropic, we provide a supportive and collaborative work environment where your contributions are valued. We offer competitive compensation and benefits, including flexible working hours and generous vacation policies. You will have the chance to work alongside a talented team of researchers and engineers who are dedicated to making a positive impact through AI. Join us in our mission to build reliable and interpretable AI systems that benefit humanity.
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