דרושים » תוכנה » Python Backend Developer

We are looking for a highly motivated backend software engineer specializing in creating high-scale, distributed backend systems.
You must demonstrate strong software engineering skills, excellent interpersonal communication, extreme ownership, and the ability to accept and give meaningful technical feedback.
You will be responsible for designing architecture, writing correct, robust code, maintaining and improving existing functionality, and shipping new features.
You will work as part of a Scrum-Agile cross-functional team and collaborate with front-end engineers, quality engineers, product managers, and more.
The platform you help us build will scale novel functionality to millions of Plus users worldwide.
Our team strives to set the bar for real-time, high-scale, mission-critical trading systems. We want to work with people who are excited by this goal and have the talent to deliver on it.
What Youll Do - Responsibilities:
Design and build scalable, high-availability mission-critical systems and APIs
Drive the migration of large-scale, distributed trading services towards cloud-native microservices
Solve problems using distributed, asynchronous messaging
Tackle technical challenges - performance, fault-tolerance, security, and live production issues
Work closely with product, DevOps\SRE, and infrastructure teams - we practice full-cycle development where developers own and operate what they build.
Mentor Jr engineers as a Senior member of the team

As an ML Software Engineer with a focus on low-level and CUDA-based optimizations, you will play a key role in shaping the design, performance, and scalability of machine learning inference systems. Youll work on deeply technical challenges at the intersection of GPU acceleration, systems architecture, and ML deployment.
Your expertise in CUDA, C/C++, and performance tuning will be crucial in enhancing runtime efficiency across heterogeneous computing environments. Youll collaborate with designers, researchers, and backend engineers to build production-grade ML pipelines that are optimized for latency, throughput, and memory use, contributing directly to the infrastructure powering next-generation AI products.This role is ideal for an engineer with strong systems-level thinking, deep familiarity with GPU internals, and a passion for pushing the boundaries of performance and efficiency in machine learning infrastructure.

Responsibilities
Design and implement highly optimized GPU-accelerated ML inference systems using CUDA and low-level parallelism techniques
Optimize memory, compute, and data flow to meet real-time or high-throughput constraints
Improve the performance, reliability, and observability of our inference backend across diverse compute targets (CPU/GPU)
Collaborate with cross-functional teams (including researchers, developers, and designers) to deliver efficient and scalable inference solutions
Contribute to ComfyUI and internal infrastructure to improve the usability and performance of model execution flows
Investigate performance bottlenecks at all levels of the stack-from Python to kernel-level execution
Navigate and enhance a large, complex, production-grade codebase
Drive innovation in low-level system design to support future ML workloads

abra is seeking a Lead AI Engineer! We are seeking a Lead AI Engineer to spearhead the design and implementation of large-scale enterprise AI solutions. This is a hybrid-role (50/50 architecture and hands-on development) with a core focus on RAG (Retrieval-Augmented Generation) systems and AI Agents in a hybrid environment ( Azure + On-Prem ). As a key member of the team, you will drive technological innovation and integrate advanced AI capabilities into the organizational workflow. Responsibilities
* Advise business units and lead AI use-case discovery and execution.
* Design AI solution architectures based on LLMs, RAG, and AI Agents
* Perform hands-on end-to-end development of AI services.
* Build RAG pipelines, including ingestion, chunking, embeddings, and retrieval strategies.
* Integrate AI solutions with enterprise systems ( SharePoint, APIs, and internal platforms
* Develop reusable components for the core AI platform.
* Work extensively with Microsoft 365, Graph API, and Teams
* Implement robust security mechanisms, permissions, and Data Loss Prevention (DLP).
* Mentor teams and establish AI development Best Practices Full-Time | Haifa

we're seeking a highly skilled Front-End CAD Engineer to join our local engineering powerhouse from the ground up.

As a Front-End CAD Engineer, you will be the backbone of our chip design ecosystem. You wont just be using tools; youll be architecting the methodologies, automation scripts, and design flows that enable our hardware teams to push the limits of silicon performance. Your work directly impacts the productivity of the design team and the time-to-market for our next-generation processors.


Key Responsibilities

Develop, maintain, and optimize RTL generation tools, building automated IPs and SoC schemes
Create robust applications using Python and Tcl to automate models build, regression and analysis tools and other assisting tools for all disciplines in front-end flows
Evaluate and integrate Electronic Design Automation (EDA) tools from vendors like Cadence, Synopsys, and Mentor Graphics
Define the methodologies of usage and integrate AI tools in this fast-growing field impacting all VLSI development flows