עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!

במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.

מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.

חברה בתחום הייטק / חומרה / תוכנה / סייבר

רמת גן

חברה בתחום הייטק / חומרה / תוכנה / סייבר

רמת גן
מלאה

We seek a versatile Senior Software Engineer who is passionate about performance optimization and generative AI. Our team builds software solutions that enable efficient inference on the latest and greatest generative AI models. We tackle problems on all levels of the stackfrom server-level request batching to GPU kernel fusionand collaborate with teams across diverse disciplines to push our hardware to its full potential.

What youll be doing:

Cooperate with research teams to onboard new LLMs and VLMs into our opensource AI runtimes.

Optimize inference workloads using sophisticated profiling and simulation tools.

Build SOLID, extendable inference software systems, and refine robust APIs.

Implement and debug low-level GPU code to harness the latest HW features.

Own end-to-end inference acceleration features and work with teams around the world to deliver production-grade products.

Requirements:
What we need to see:

B.Sc., M.Sc. or equivalent experience in Computer Science or Computer Engineering.

5+ years of relevant hands-on software engineering experience.

Profound knowledge of software design principles.

Strong proficiency in at least one system and one scripting language.

Strong grasp of machine learning concepts.

People person with excellent communication skills that enjoys collaboration and teamwork.

Ways to stand out from the crowd:

Familiarity with our DL software stack, e.g. Triton Inference Server, TensorRT-LLM, and Model Optimizer.

Proven track record of performance modeling, profiling, debugging, and development in a performance-critical setting with our accelerators.

Familiarity with LLM quantization, fine-tunning, and caching algorithms.

Proficiency in GPU kernel programming (CUDA or OpenCL).

Prior experience working on a large software project with 50+ contributors.

This position is open to all candidates.