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Software Engineer, Model Runtime

Join the scaling team to architect and implement the next generation of production-grade model runtimes. This role demands deep systems knowledge as you build foundational infrastructure that dictates performance limits for our state-of-the-art models. You will focus on optimizing the entire inference stack—from GPU memory management and kernel execution to request scheduling across heterogeneous compute resources. Key responsibilities include improving startup time, reducing memory footprint, and ensuring determinism in massive distributed environments. Experience with low-level languages (C++, Rust) and hardware-specific APIs is crucial for developing reliable, highly efficient model serving backends that power global AI services.

openai San Francisco, United States

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

bereiten sich vor

1800

Fragensatz

200

Dauer

Permanent

Schwerpunkte

Model RuntimeHardware AccelerationSystems ProgrammingML Infrastructure

People Also Ask (FAQs)

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

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

How do I apply for Software Engineer, Model Runtime?

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 Runtime 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 Runtime, Hardware Acceleration, Systems Programming, ML Infrastructure.

Schnellstart

Sieh dir die Stellenzusammenfassung an und starte dann die Vorbereitung im gewohnten Prüfungsablauf.

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