לוח משרות דרושים מתכנת ++C בחיפה, לחיפוש זה נמצאו 24 משרות

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

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.

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.

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.

Are you an inventive, curious, and driven Applied Scientist with a strong background in AI, Computer Vision, and Deep Learning? Join our AGI IMAX Science team and contribute to significant advancements in Computer Vision, Multimodal Understanding, Generative AI, and foundational models.

As part of the AGI IMAX Science team, you'll lead innovative research projects and train large-scale Vision-Language Models (VLMs), diffusion models, and multimodal foundation models that directly impact millions of Amazon and AWS customers. Leveraging Amazon's vast computing power, you'll work alongside a supportive and diverse group of skilled scientists and engineers, building models and services that make a meaningful difference in the industry.


Key job responsibilities
Lead research initiatives in Computer Vision and Multimodal generative AI, advancing model efficiency, accuracy, and scalability.
Train and fine-tune large-scale Vision-Language Models (VLMs), diffusion models, and multimodal foundation models at scale.
Design, implement, and evaluate deep learning models in a production environment.
Collaborate with cross-functional teams to transfer research outcomes into scalable AWS services.
Publish in top-tier conferences and journals, keeping Amazon at the forefront of innovation.
Mentor and guide other scientists and engineers, fostering a culture of scientific curiosity and excellence.

Are you an inventive, curious, and driven Applied Scientist with a strong background in AI, Computer Vision, and Deep Learning? Join our AGI IMAX Science team and contribute to significant advancements in Computer Vision, Multimodal Understanding, Generative AI, and foundational models.

As part of the AGI IMAX Science team, you'll lead innovative research projects and train large-scale Vision-Language Models (VLMs), diffusion models, and multimodal foundation models that directly impact millions of Amazon and our customers. Leveraging Amazon's vast computing power, you'll work alongside a supportive and diverse group of skilled scientists and engineers, building models and services that make a meaningful difference in the industry.


Key job responsibilities
Lead research initiatives in Computer Vision and Multimodal generative AI, advancing model efficiency, accuracy, and scalability.
Train and fine-tune large-scale Vision-Language Models (VLMs), diffusion models, and multimodal foundation models at scale.
Design, implement, and evaluate deep learning models in a production environment.
Collaborate with cross-functional teams to transfer research outcomes into scalable our services.
Publish in top-tier conferences and journals, keeping Amazon at the forefront of innovation.
Mentor and guide other scientists and engineers, fostering a culture of scientific curiosity and excellence.

we are looking for skilled and motivated senior logic design engineers to join our next generation Snapdragon projects.

With this position you'll be joining the VLSI team of the Camera group working on cutting-edge image signal processor (ISP).

You will be working on innovative design implementing novel image processing and computer vision algorithms (traditional and ML based) that will further raise the bar of image capture for mobile, auto, connected smart camera application and much more.

Join us Camera Systems team and help develop next-generation imaging technologies for mobile and AR/XR devices.

What you'll do
Develop image processing, ISP (Image Signal Processing), video processing, and computational photography algorithms.

Design hardware-friendly imaging algorithms for implementation in dedicated ISP and imaging accelerators.

Define camera system flows that combine imaging and auxiliary sensors to achieve industry-leading image and video quality.

Drive the development of new imaging hardware architectures and processing pipelines.

Collaborate with architecture, hardware, software, and systems teams throughout the product lifecycle.

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).