Simulation Researcher/Engineer
Luma AI invites a brilliant Simulation Researcher/Engineer to join our Foundation Models team. You will be instrumental in advancing the simulation pipeline that underpins our cutting-edge generative AI technology. This role requires a strong academic background and hands-on experience building complex simulations—from physics modeling to data synthesis. A core part of your mission will involve developing novel, scalable simulation architectures used for training large foundation models. Key responsibilities include optimizing simulation fidelity, integrating new physical constraints into ML pipelines, and collaborating with research scientists. The ideal candidate has publications in top-tier AI conferences (NeurIPS/ICML) and expertise in tools like PyTorch or TensorFlow within a scientific computing context. This is a hybrid role based in the heart of Silicon Valley.
(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)
Preparing
250
Question set
150
Duration
Permanent
Focus areas
People Also Ask (FAQs)
What is the last date to apply for Simulation Researcher/Engineer?
The closing date is listed in the official advertisement — apply as early as possible.
How do I apply for Simulation Researcher/Engineer?
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 Luma AI 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 Simulation Researcher/Engineer 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: Simulation Modeling, Machine Learning Theory, AI Research, Computer Vision.
Quick start
Review the job summary, then jump into prep with the same flow used for exam starts.