Required Senior SW Engineer [Codegen]
We are modernizing analytics infrastructure with the first purpose-built ASIC processor, the Analytics Processing Unit (APU), for analytics and AI data workloads. Delivering up to 100x faster Apache Spark performance while cutting infrastructure TCO by 90%, the APU executes analytics operations directly in silicon with seamless integration and no code changes.
Job Description:
Join a multi-disciplinary team of experts operating at the core of our software stack
Lead the design and implementation of highly efficient algorithms that maximize our performance
Develop time-critical Python components that translate database operations to performant, hardware-optimized C++
Co-design the next generation of our architecture alongside Hardware & Software engineering leads
Research state-of-the-art algorithms and techniques for data analytics and hardware acceleration
Fly high with the SW, and dive in for a byte of the HW.

We are seeking a talented engineer to work on our AI software stack-specifically, the low-level optimization of AI models and kernels for our unique hardware architecture.

Responsibilities
Develop our optimized AI libraries and related components in the SW stack.
Drive the performance optimization of AI models running on our unique architecture.

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 to join our team developing the core technologies behind our SmartNIC platform. Your work will directly impact next-generation AI infrastructure, cloud networking, and high-performance data centers used by customers around the world.

What you'll be doing:

Architect, design, and develop next-generation networking acceleration technologies.

Build and enhance core software components within the DOCA SDK.

Work closely with architects, customers, and engineering teams to understand requirements and deliver scalable, high-performance solutions.

Collaborate across the software stack, including applications, virtualization, drivers, Linux kernel, firmware, and hardware teams.

Drive technical decisions and contribute to the design of performant, maintainable software.

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.

we are an agile defense-tech startup tackling the most complex challenges in counter-drone and uncrewed defense. With hundreds of combat-proven systems deployed by the IDF and global partners, we are now engineering the next generation of C-UxS (Counter-Uncrewed Systems). We leverage advanced electronic warfare and kinetic measures to detect and neutralize hostile threats. If you want to push technological boundaries while safeguarding Israel and our allies, join us at this pivotal stage of our growth.
This is a unique opportunity to join a company at a pivotal growth stage and help shape its products, culture, and future.
We are seeking a highly skilled C++ Software Engineer to join our fast-paced startup team. In this role you will join a high-performance, robust C++ software development team, with opportunities to contribute in Python for tooling, prototyping, and data processing. You will work on algorithmic challenges spanning GNSS, signal processing, computer vision, and geospatial data.
Responsibilities
Design and implement high-performance C++ software, with emphasis on real-time, efficient, and reliable code.
Develop and optimize algorithms related to GNSS, signal processing and geospatial analysis.
Use Python for prototyping, automation, and analysis tools.
Collaborate with cross-functional teams including hardware, research, and product.

We are looking for a C++ Senior Software Engineer to join the ride as we spearhead the next revolution in electronics!

Responsibilities
Design and implement multi-architecture and cross-platform software solutions in C++ for Linux and Windows OS.
Maintain software application interfaces in Java, Python, and C#.
Contribute to the full life-cycle development, integration, and deployment of software solutions in advanced testing equipment.
Collaborate within a multidisciplinary team environment across scientific and engineering disciplines.
Conduct code reviews to enhance software engineering quality.

We are looking for a Software Development Engineer to own the design and implementation of our inference data plane. We build the software that makes large models run efficiently on custom hardware - spanning model execution, memory management, data movement, and serving integration.
Our work covers the full inference path: integrating serving engines with custom hardware, developing high-performance compute kernels, enabling efficient data movement, and driving models from early validation through production. We operate at frontier scale with large distributed models.
This is a ground-up effort with rapidly evolving hardware and software. We need an individual contributor who can write and optimize low-level code for custom hardware, validate model architectures end-to-end, build test and profiling infrastructure, and drive performance across the stack.

Key job responsibilities
- Develop and optimize compute kernels for a custom ML accelerator architecture, targeting production-level performance for large language model inference.
- Implement and validate LLM architectures end-to-end - from PyTorch model definition through distributed execution on custom hardware.
- Integrate custom accelerator backends into open-source ML serving frameworks (vLLM, PyTorch), including scheduler extensions, memory management, and model parallelism.
- Build and maintain test infrastructure for model correctness validation across CPU, GPU, simulator, and hardware targets.
- Profile and optimize inference workloads - identify bottlenecks, instrument critical paths, and drive latency and throughput improvements from simulation through hardware bringup.
- Own features end-to-end: from design through implementation, testing, and integration into the broader software stack.
- Contribute to CI/CD pipelines that gate model and kernel changes on correctness and performance regressions.

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 GEHC imaging products
Work on core data structures and algorithms and implement them using C++, Python, CUDA, OpenCL.

Required Software Engineer
Job Description Summary
As a Software Engineer - PET Data Acquisition, you will join a highly specialized team developing the real-time software stack at the core of our PET/CT imaging systems.
Our software directly impacts image quality and system reliability, enabling clinicians worldwide to provide accurate diagnoses and life-saving care.
You will work on a distributed, high-performance C++ system running on Linux, responsible for configuring detector hardware, processing high-throughput data streams, and enabling seamless integration across the scanner ecosystem.
About the Team:
Our team develops the data acquisition platform powering our PET/CT scanners.
This system:
Configures and interfaces with detector hardware
Receives high-rate event streams via UDP
Performs real-time sorting and time-stamping of coincidence events
Manages acquisition state and persistence
Exposes control and monitoring APIs to clinical applications
The platform is a distributed, multi-process, multi-threaded C++ system running on Linux, designed for deterministic, high-performance operation under demanding workloads.
Key Responsibilities
Design and develop end-to-end data acquisition features, from low-level UDP capture and event processing through service layers and client APIs
Optimize and maintain performance-critical code paths, including:
Lock-free / low-contention data structures
Thread affinity and NUMA optimization
Zero-copy buffer management
Deterministic real-time execution
Enhance and maintain inter-process communication mechanisms, including shared memory, message queues, and service interfaces
Work with embedded persistence layers (SQL-based) for configuration, metadata, and runtime state
Collaborate closely with hardware, physics, and system teams to integrate new detector and system components
Develop unit and integration tests, and actively participate in code and design reviews
Troubleshoot complex cross-process issues using advanced debugging and profiling tools (e.g., gdb, perf, tcpdump, strace).