Systems Generalist, GPT Infrastructure
Are you passionate about scaling large-scale AI infrastructure? OpenAI is seeking a talented Systems Generalist to join our Compute team. This role focuses on building robust and highly efficient systems that power the next generation of GPT models globally. Key responsibilities involve optimizing compute pipelines, managing distributed resource allocation across massive clusters, and developing resilient services from scratch. You will work with cutting-edge technologies in containerization, networking, and high-performance computing (HPC). A deep understanding of operating system internals, proficiency in languages like C++, Python, and experience solving complex scaling challenges in a cloud environment are essential. This is an excellent opportunity to impact the core scalability of artificial intelligence.
(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)
Preparing
2500
Question set
280
Duration
Permanent
Focus areas
People Also Ask (FAQs)
What is the last date to apply for Systems Generalist, GPT Infrastructure?
The closing date is listed in the official advertisement — apply as early as possible.
How do I apply for Systems Generalist, GPT 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 openai 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 Systems Generalist, GPT 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: Systems Programming, Distributed Systems, Cloud Computing, GPT Infrastructure.
Quick start
Review the job summary, then jump into prep with the same flow used for exam starts.