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Software Engineer, Model Inference

This critical role is responsible for the performance and scalability of OpenAI’s core generative models at inference time. You will design, build, and optimize low-latency, high-throughput systems capable of serving petabytes of model calls daily. Key responsibilities include profiling bottlenecks in massive compute clusters, implementing advanced quantization techniques, developing custom kernel optimizations (e.g., on CUDA/TPUs), and ensuring system reliability across diverse hardware environments. The successful candidate must have deep expertise in the entire ML stack, from compiler optimization to distributed systems design, with a relentless focus on maximizing throughput while minimizing operational cost.

openai San Francisco, United States

(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)

Preparing

2800

Question set

180

Duration

Permanent

Focus areas

Model InferenceOptimizationHigh Performance ComputingDistributed Systems

People Also Ask (FAQs)

What is the last date to apply for Software Engineer, Model Inference?

The closing date is listed in the official advertisement — apply as early as possible.

How do I apply for Software Engineer, Model Inference?

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 Software Engineer, Model Inference 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: Model Inference, Optimization, High Performance Computing, Distributed Systems.

Quick start

Review the job summary, then jump into prep with the same flow used for exam starts.

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