Software Engineer, Research Infrastructure
Anthropic is looking for a skilled Software Engineer to enhance the core research infrastructure supporting our cutting-edge AI development. This role involves designing, building, and maintaining robust platforms that empower researchers across various domains—from foundational models to specialized applications. Key responsibilities include optimizing data pipelines, developing scalable compute resources, and ensuring high availability for experimental ML workflows. You will work with complex distributed systems, utilizing cloud services like Kubernetes and advanced storage solutions. A strong background in backend engineering combined with an understanding of scientific computing principles is essential. Expertise in Python and experience dealing with large-scale datasets make you a perfect fit to help us push the boundaries of AI research.
(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)
Preparing
1800
Question set
200
Duration
Permanent
Focus areas
People Also Ask (FAQs)
What is the last date to apply for Software Engineer, Research Infrastructure?
The closing date is listed in the official advertisement — apply as early as possible.
How do I apply for Software Engineer, Research Infrastructure?
Use the official apply link on this page to submit your application. A step-by-step how-to-apply guide for this job is also linked below.
Is there negative marking in the anthropic test?
The marking rule is announced per test in the advertisement and roll-number-slip instructions. Many MCQ screening tests have no negative marking, but always verify it for your specific test.
What is the passing marks for this test?
The official passing marks are generally 50%, but merit is competitive — scoring above 75% is a safer target to secure an interview call.
How can I prepare for the Software Engineer, Research Infrastructure test?
Prepare with the free subject-wise MCQs, past papers and timed mock tests on PrepPro Academy — every question includes the answer with an explanation. Focus areas: Research Infrastructure, Software Engineering, Cloud Computing, Distributed Systems.
Quick start
Review the job summary, then jump into prep with the same flow used for exam starts.