דרושים » ניהול ביניים » Senior SW Engineer [Codegen]

We are looking for an experienced and highly motivated excellent Software Engineer to join the Haifa Image Generation group. Youll design and develop software for the next generation CT product, implementing new complex image processing algorithms and control logic enabling new premium CT products that are expected to revolutionize the industry. You should have a strong C++ background, good communication skills, and an ability to integrate well as part of the team and global organization, motivated to solve sophisticated problems. Youll be developing CT reconstruction software applications and services computational tools, working in the areas of algorithm development, control logic, platform, application, AI, collaborating with engineers across the globe from US, Sweden, Japan, India and China. Experience in developing software for healthcare and especially for CT is a strong advantage.
Roles and Responsibilities:
In this role, you will:
Build, design and implement CT image generation/reconstruction software - algorithms and applications.
Lead complex SW designs and related discussions
Collaborate with system engineers, algorithm developers and other software developers from across the globe to implement solutions that are aligned with and extend shared platforms and solutions for CT
Apply principles of SDLC and methodologies like Agile/Scrum, CI, requirements analysis, documentation practices, software and product security, scalability, refactoring and testing techniques
Understand, assess and optimize algorithms and applications performance
Take part in developing a common imaging platform for all imaging products
Work on core data structures and algorithms and implement them using C++, Python, CUDA, OpenCL.

Required Senior Software Engineer, CPU, Cloud
About the job
In this role, you will work at the center of our most strategic infrastructure investments. You will join a high-impact team operating on the critical path of our hardware and software evolution, bridging the gap between compute infrastructure and the massive scale of our software stack. You will be responsible for defining the methods and technologies required to model, simulate, and analyze complex hardware systems, with a core focus on security, performance, and correctness analytics, ensuring the efficiency of our future compute platforms. As a software engineer in this group, you will act as an architect, designer, and coder taking ownership of your goal and working in close partnership with cross-functional teams to make it a reality.
You will be at the intersection of hardware design and software optimization for our next-generation high-performance compute cores. You will not just support existing infrastructure; but will be helping build the foundation of our future hardware. Because this work is on the "most critical path" for our future, you will have visibility into and influence over the core technology that powers our most intensive services. You will bridge the gap between silicon-level security research and massive-scale software implementation, working with experimental AI tools that are shaping how we verify and optimize future hardware. You will be building the foundation of our future hardware.
Responsibilities
Drive performance modeling and analysis for next-generation CPUs, while identifying architectural bottlenecks, ensure system correctness, and implement optimization strategies across hardware-software stack to maximize efficiency for compute workloads.
Design, develop, and maintain software modeling tools and simulation environments, leverage C++, Python, and AI-driven methodologies to perform studies and automate analytical workflows.
Conduct security analysis and threat modeling for hardware-software interfaces, while developing and implementing methodologies for detecting, mitigating, and analyzing side-channel and micro-architectural vulnerabilities, ensuring systems meet safety and privacy.
Explore, deploy, and scale experimental AI-driven tooling to automate verification workflows, enhance predictive modeling, and accelerate development cycles, actively contribute to expanding the team's suite of AI-assisted capabilities.
Provide technical leadership in system integration projects, guide cross-functional teams to resolve large-scale compute bottlenecks, influence architectural designs, and facilitate the successful deployment of hardware-software solutions.

Required Senior C++ Software Engineer - Sensor Platform
The team is responsible for the software infrastructure surrounding Radar and LiDAR sensors and is part of our Algo Optimization group. We bridge the gap between cutting-edge sensor technologies and our proprietary hardware accelerators.
We build the core software foundation for perception algorithms, managing the end-to-end flow of sensor data ingestion, parsing, validation, and real-time optimization. Working at the intersection of software, firmware, and hardware, we play a critical role in bringing next-generation sensing capabilities to production vehicles.
What will your job look like:
Design and develop software integration and automation solutions that support our development and validation environments.
Build scalable infrastructure, tools, and frameworks that enable efficient software integration across multiple platforms.
Develop automation pipelines to improve software delivery, testing, deployment, and system reliability.
Analyze complex software systems, identify integration challenges, and drive performance and stability improvements.
Take ownership of system-level debugging, troubleshooting, and root-cause analysis across software components.
Collaborate closely with software, DevOps, infrastructure, validation, and system engineering teams to deliver robust end-to-end solutions.
Contribute to software architecture, integration strategy, and engineering best practices across the organization.
Continuously improve development workflows by introducing automation, monitoring, and infrastructure enhancements.

We are looking for a highly skilled Real-Time C++ Engineer who embodies ambition and positivity - someone who takes ownership of complex, performance-critical problems and collaborates effectively with remote and on-site teams to meet and exceed our objectives and fulfill the evolving needs of our expanding customer base.
The Real-Time C++ component is at the core of our Quantum Orchestration Platform - it serves as the driver for the Pulse Processing Unit (PPU), our proprietary VLSI-based engine. This component is responsible for preparing, loading, and launching the execution of quantum-computing workloads, operating at extreme performance levels to maximize hardware utilization and minimize software overhead.
Responsibilities:
Develop and maintain the real-time C++ layer that drives the Pulse Processing Unit (PPU), our proprietary VLSI-based processor.
Design and implement high-performance software for preparing, loading, and launching quantum-computing workloads with minimal latency and maximal hardware utilization.
Drive relentless optimization of the software stack to minimize SW overhead in the critical path, ensuring the hardware operates at peak throughput.
Collaborate closely with VLSI, compiler, and architecture teams to ensure seamless software-hardware integration across the quantum control stack.
Contribute hands-on to the codebase - designing, implementing, reviewing, debugging, and profiling performance-critical code paths.
Uphold the team's engineering standards, code quality practices, and performance benchmarking methodologies, and help raise the bar over time.
Participate in technical planning and roadmap discussions, aligning your work with product and customer needs.

As a leading technology innovator, we push the boundaries of what's possible to enable next-generation experiences and drive digital transformation, creating a smarter, connected future for all.

As a company AI Software Engineer, you will develop and implement cutting-edge AI techniques that enable the efficient utilization of state-of-the-art solutions across various technology verticals.

In this position, you will be responsible for leading software development and implementation of the company AI Stack features within our AI Runtime (QAIRT) SDK, specifically Core software including Generative AI Inference Extensions. You will contribute to the efficient execution of advanced deep neural networks (DNNs), large language models (LLMs), and other modern AI architectures. You will also be responsible for supporting AI stack that optimizes runtime efficiency, latency and power consumption of AI applications running Machine Learning workloads on our low-power AI accelerators. The DSP core design work directly supports our NPU and GPU solutions, enabling optimized inference across diverse hardware platforms.

You will have the opportunity to demonstrate your passion for software design and development through your analytical, design, programming, and debugging skills.
Responsibilities
Develop real-time software for our AI DSPs to support the execution of the latest generative AI models on Snapdragon platforms

Develop and implement core components of our AI Stack runtime framework for inference on resource constrained AI systems, operating in low power, small memory footprint platforms

Validate, analyze, and optimize the performance and accuracy of software through detailed testing of machine learning use cases

Debug complex issues, perform root cause analysis, and ensure high system reliability

Collaborate with cross-functional teams to deliver robust, scalable AI software solutions

Contribute to a culture of technical excellence, knowledge sharing, and continuous improvement within the AI Software team

Participate in design and code reviews

Working in global environment and collaborating inside the team and across other AI teams

we are looking for a Senior Software Engineer.
The group is a high-powered team responsible for implementing algorithms at scales of 100s of PBs. The team also manages the core filesystem components, including blocks and metadata management, snapshots, RAID logic, object-store tiering, unique cloud disaster recovery features, and more. And most importantly, they skillfully handle the most delicate part of the solution - our customers data.
As a Senior Software Engineer, youll:
Design and develop distributed file system components to support data management features such as snapshots, replication, tiering, and advanced data reduction algorithms;
Participate in the design, architecture, and implementation of next-generation storage architecture;
Assist in technically managing initial storage implementations including proofs-of-concept;
Diagnose bottlenecks and implement clean and performant solutions to achieve unbeatable performance;
Design algorithms and data structures to make sure customer data is safe and coherent across our solution in a wide variety of failure modes; and
Constantly revisit the architecture, algorithms, and methodologies to improve productivity, reliability, and maintainability.

Are you a results-driven backend or full-stack engineer passionate about building scalable, cloud-native microservices? Do you thrive in an agile, startup-like environment while having the backing of a market leader? At our company, you wont just be a coder; you'll be an architect of innovation, shaping the future of identity security.
Our engineering team is the core of our success. We build high-quality, professional-grade products on a mature, event-driven microservices architecture hosted in AWS. We're now seeking a Senior Backend Software Engineer to be a foundational member of a new team building a cutting-edge, cloud-based SaaS identity analytics product from the ground up.
Your Mission: The First 12 Months

First 3 Months: You will be fully integrated into our agile team, actively contributing to the design and development of core microservices for our new SaaS product. You will have a comprehensive understanding of the product architecture and roadmap, and you'll be writing high-quality, test-covered code in Go.

First 6 Months: You will take ownership of significant features, from design and estimation to implementation and deployment. You'll be expected to contribute to our continuous delivery pipeline and improve code quality by producing unit and end-to-end tests, aiming to increase code coverage by 15-20%.

First 12 Months: You will be a key contributor to the product's evolution, mentoring junior engineers and collaborating with product management to define and implement new features. You will have made a measurable impact on the product's performance and scalability, and you'll be a go-to expert for critical components of the system.

What You'll Do

Design, develop, and deploy backend microservices in Go. Success will be measured by the delivery of well-tested, scalable, and maintainable code that meets product requirements and is deployed to production in a timely manner.

Integrate AI-assisted tooling into day-to-day DevOps and engineering workflows. Success will be measured by improvements in productivity, scalability, and operational efficiency. You will achieve this by leveraging AI tools to generate initial configuration drafts, validate infrastructure code, and recommend workflow improvements, while utilizing AI-driven automation to reduce repetitive manual tasks and accelerate engineering execution without sacrificing high-quality standards.

Collaborate on designs, code reviews, and testing. Success will be measured by your active participation in team meetings, providing constructive feedback on peer code reviews, and contributing to a collaborative and positive team environment.

Produce unit and end-to-end tests. Success will be measured by your consistent contributions to our test suites, with a focus on increasing code coverage and improving the overall quality and reliability of the product.

Create and refine design and engineering best practices. Success will be measured by tangible improvements to our development processes and documentation, leading to increased team efficiency and code quality.

Our Tel Aviv Research and Innovation Center, is looking for an experienced software engineer with expertise in Linux kernel and virtualization design + development to join our Future-Computing-Infrastructure expert group. The group designs and develops technologies for the next-generation data center aimed at accelerating AI workloads for a unique HW, optimizing compute resource utilization and reducing data-center costs. Our projects involve hardware and software architecture co-design. They require high-level system understanding, creativity and innovative thinking.
If you want to be part of something bigger, if you are a team player with excellent communication skills and motivation to revolutionize data-center technology, youre welcome on board!


What will you be doing?
Design and develop Linux kernel code related to virtual memory management and memory-tiering.
Research, design and innovate methods, algorithms and supporting data-structures for managing memory hierarchies in virtualization environments
Participate in research to analyze AI-based applications performance, identify bottlenecks and optimize various decision-making mechanisms based on benchmarking results.
Collaborate with professional team members and various global teams around the world on a daily basis.
Challenged to think outside of the box and come up with creative ideas to deal with complex challenges within Linux kernel.

Were looking for an experienced SW Engineer to join our Architectural Team, where you'll design and develop our hardware simulators that serve as the source of truth, drive architectural exploration and compiler optimization.
Our simulators model diverse cores within a cutting-edge SoC designed to accelerate Big Data and Database Analytics. You will collaborate closely with hardware and software teams, contributing to co-design efforts that influence architecture, tooling, and system-level behavior.
Responsibilities:
Develop new hardware simulators and continue evolving existing ones.
Collaborate with Architecture, VLSI, and Software teams to drive co-design initiatives.
Provide insights that influence chip architecture, compiler optimization, and system-level performance.
Develop tools that drive the chip development cycle.

We empower enterprises and service providers with cutting-edge Storage platforms that redefine performance, reliability, and cyber resilience at scale. We are looking for a highly skilled and visionary C / C ++ Senior Developer to join our dynamic platform team. As a Platform Engineering Architect, you will play a crucial role in the design, development, and technical aspects of our high-performance, multi-threaded, clustered, mission-critical, server-side products, developed primarily in C, Python and C ++ on the Linux platform.
Responsibilities:

* Technical leadership and ownership of large, multi-disciplinary features and changes to our product
* Hardware and Software Integration - Develop software solutions to effectively handle and monitor various hardware components.
*  Linux OS and Driver Enhancement - Support and enhance a customized Linux operating system and drivers that serve as the foundation for our software ecosystem.
* Vendor Collaboration - Collaborate with hardware vendors to support current products and seamlessly integrate new product generations into our platform.
* Communication Interfaces- Design and develop both external and internal communication interfaces for our products.
* Mentoring developers in the group as they tackle difficult issues in their work on SW design, implementation or debugging.