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

יקנעם עילית

חברה בתחום הייטק / חומרה / תוכנה / סייבר

יקנעם עילית
מלאה
22,000-32,000 ₪ הערכה מבוססת AI ולא שכר שהתקבל מהמעסיק
הערכה מבוססת AI ולא שכר של המעסיק

We are looking for an experienced Software Engineer to take part in the design and development of next-generation performance engineering frameworks. In this role, you will focus on Python-based benchmarking and analysis systems, while also contributing to high-performance components in C/C++. Youll work on challenges at the intersection of networking, distributed computing, and AI, building tools that run at scale on clusters, clouds, and data centers.

What you'll be doing:

Design and implement performance benchmarking and analysis frameworks for next-generation AI and HPC workloads.

Work across Python (primary) and C/C++ (for performance-critical modules) to deliver reliable and scalable tools.

Take full technical ownership of our core telemetry engine, including utilizing Jupyter Notebooks and other data analysis frameworks to help performance engineers analyze telemetry results.

Contribute to our DevOps environment, owning the CI/CD pipelines and release processes for your projects.

Drive technical innovation in the performance engineering ecosystem, including taking part in building our next-gen agentic AI assistant.

Requirements:
What we need to see:

B.Sc. in Computer Science, or a related engineering field.

3+ years of professional software development experience.

A proven track record of technical ownership, driving a technical agenda, and problem solving.

High-level Python development skills, building robust, well-structured, production-grade applications.

C/C++ experience, especially for performance-critical or low-level components.

Experience with modern CI/CD pipelines and DevOps practices.

Ways to stand out from the crowd:

Linux systems knowledge, including software packaging (RPM, DEB), and an understanding of the complexities of software distribution and dependencies.

Experience with the Python data analysis and visualization frameworks (e.g., h5py, pandas, NumPy, Matplotlib/Plotly).

Experience with Slurm, Kubernetes, MPI, or other distributed job orchestration and cluster management systems.

Familiarity with agentic AI concepts or frameworks (e.g., RAG techniques, LangChain, LangGraph, LlamaIndex, etc.).

Experience contributing to open-source projects.

This position is open to all candidates.