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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.
Job Description
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).

We are looking for a junior Embedded Software Engineer, to join us in building the next generation of networking products. Youll have the opportunity to work on the technologies that power the worlds largest cloud provider, in a dynamic, open, fast-paced environment. Working for Annapurna Labs is thrilling and a constant learning experience. As an embedded SW development engineer, you will be responsible for developing features for Annapurna Labs next-generation hardware, to enable high network bandwidth and packets-per-seconds (PPS) performance, with consistently low latency. You will work to bring up a broad selection of instance types, optimized for various use cases, to suit each of our customers needs, such as varying combinations of CPU, memory, storage, and networking capabilities. As a SW development engineer, you will play a key role in shaping architecture definitions and SW system designs, and help to resolve complex customer issues. You will continuously evolve technically, while working to monitor AWS cloud health, maintain high quality standards, develop highly-optimized code, and provide exceptional customer satisfaction.

Key job responsibilities
We will be conducting a unique onboarding training program, where you will be studying the following with our technical experts and team leaders:
* Embedded systems basics.
* Annapurna technologies in EC2.
* Cloud compute development.
* Networking 101.

Our Autonomous Driving Software Group in Haifa is looking for a software engineer to join our Team. Our group is responsible for writing new code to replace the existing code with a new design. We develop the software architecture system and tools to enable support for many new design wins and scale the company project to run efficiently in vehicles - contributing to saving lives and enabling autonomous vehicles.
What will your job look like?
You will be part of the design of the car application that controls the main execution flow of various software components running on the chip. Additionally, it manages many sensors and their inputs, such as cameras, radar, and car signals.
The application integrates these inputs and feeds them into various algorithms to create a comprehensive worldview for the car.
The project is challenging both in its real-time complexity of a system with multiple sensors and being part of the overall automotive car system architecture.
Working in a large group of software developers with cross-team collaboration.

We are the world leader in automotive and driving assistance systems, developing the world's most advanced software technologies and hardware architectures.
We are providing an end-to-end software solution for development and deploying features on its HW chip - EyeQ.
The compilers team is looking for a C++ Software engineer with a passion for low level optimizations and code analysis.
What will your job look like?
Develop and extend a compiler based on the LLVM infrastructure to support and optimize our EyeQ hardware.
Implement and improve middle‑end and back‑end compiler optimizations.
Analyze generated code to improve performance and efficiency.
Perform real-world benchmark analysis to find optimization opportunities.
Collaborate with chip architects on defining and supporting future hardware generations.

We are seeking a Senior Software Development Engineer to design, develop, and optimize mission-critical embedded software for cloud infrastructure. You will join teams focused on networking, machine learning acceleration, and high-performance computing (HPC), impacting millions of AWS services globally.

Our Autonomous Driving Software Group in Haifa is looking for an experienced C++ developer to join our team!
Our group is responsible for developing new software architecture and tools to replace existing code with a modern, scalable design.
We enable support for new design wins and help scale our technology to run efficiently in vehicles, contributing to saving lives and enabling autonomous driving.
What will your job look like?
You will be part of the design of the car application that controls the main execution flow of various software components running on the chip. Additionally, it manages many sensors and their inputs, such as cameras, radar, and car signals.
The application integrates these inputs and feeds them into various algorithms to create a comprehensive worldview for the car.
The project is challenging both in its real-time complexity of a system with multiple sensors and being part of the overall automotive car system architecture.
Working in a large group of software developers with cross-team collaboration.

Our Autonomous Driving group in Haifa is looking for an Electrical Validation & Embedded SW Engineer. This is an exciting opportunity to join a growing team of highly talented engineers, working on the worlds most advanced SoCs for ADAS and self-driving vehicles.
Electrical Validation engineers enable, debug, and validate high-speed interfaces - like LPDDR4/5/6, PCIe Gen4/5, CDPHY, and MPHY - using high-end Lab measurement equipment and advanced SW tools. This dynamic work environment requires interfacing with Silicon and hardware design engineers, Software developers, Signal Integrity, and System Validation teams. The proximity to Signal/Power integrity simulation activities - we are a single SIPI/EV team - is another powerful advantage, enabling joint simulation-measurement effort.
What will your job look like:
You will join a team of talented and experienced EV/SI/PI engineers with wide scope of responsibility, from Pre-Si SI/PI simulations to Post-Si Electrical validation and debug, covering all the high-speed analog interfaces of our EyeQ products.
Responsibilities include performing electrical spec compliance and system margin validation, interface optimization, statistical results analysis, validation flow definitions and automation, validation SW tools development, etc.
You will also deal with FW development, automation enabling, data post-processing and debug of high-speed interfaces, like LPDDR4/5, PCIe Gen4/5, and D/C/MPHY.

We are looking for an outstanding Research Team Lead with deep hands-on expertise in large-scale distributed systems, AI framework infrastructure, and performance optimization on custom accelerators. If you are a visionary technical leader, a skilled communicator, and a team builder who thrives at the frontier of systems and AI research - you're welcome on board.
What Will You Be Doing?
Lead and grow a world-class team of researchers and engineers working on distributed AI infrastructure and systems software
Architect and own the software infrastructure enabling distributed training and inference on Huawei's custom accelerator hardware (e.g., Ascend NPU)
Drive research and development on communication libraries, runtime systems, memory management, and graph execution & synchronization at scale
Optimize end-to-end performance across large-scale clusters, covering both scale-up (multi-device) and scale-out (multi-node) configurations
Design and implement high-performance communication backends and collective operations (AllReduce, AllGather, broadcast) for distributed training workloads
Collaborate cross-functionally with hardware architects, compiler teams, and framework engineers to co-design hardware-software solutions
Publish and present research findings at top international venues (NeurIPS, EuroSys, SC, MLSys, OSDI) and represent the team externally
Mentor engineers and researchers, conduct performance and growth reviews, and shape team culture and technical direction
Partner with top academic institutions and open-source communities to advance the state of the art in distributed AI systems

We are looking for a highly motivated Web engineer who specializes in creating exceptional user experiences.
As a pivotal member and technical leader of our Infrastructure Team, you will drive the technology that enables our product teams to accelerate development and innovate at a high standard.
Our team strives to set the bar for trading Web user experience. We want to work with people who are excited by this goal and have the talent to deliver on it.
You will work alongside highly skilled developers to shape the future of our trading app, ensuring we remain at the cutting edge of web technology.
What Youll Do - Responsibilities
Drive Infrastructure & Architecture: Architect, implement, and maintain web-based client-side infrastructure to accelerate the workflows of our product web developers.
Drive Continuous Modernization: Take a leading role in significantly upgrading our application's architecture. You'll dive right into our team's current flagship projects, enabling micro-frontends and transitioning to a highly modular architecture, and help us identify what we should modernize next.
Enhance Product Quality: Redesign our mobile web applications with a strict focus on improving UI/UX, performance, and stability while enabling a modern tech stack built on a pure Single Page Application (Vue3) architecture. And yes, please bring your AI assistants along; let the robots write the boilerplate while you solve the complex architectural puzzles.
Code Excellence: Be responsible for designing architecture, writing correct, robust code, maintaining and improving existing functionality, and shipping new features.
Collaboration: Work as part of a Scrum-Agile cross-functional team and collaborate with backend engineers, quality engineers, product managers, designers, and more