לוח משרות דרושים הייטק תוכנה משרה מלאה, לחיפוש זה נמצאו 3,153 משרות

A leading Israeli software company specializing in SaaS-based Human Resources management solutions is looking for a Full Stack Developer to join its development team.
You will be responsible for building and enhancing a modern, scalable web platform using Angular on the frontend and C#/.NET on the backend, working with cutting-edge technologies and AI-assisted development tools.
Responsibilities:
Develop and maintain full stack web applications (Front End & Back End)
Build responsive UI components using Angular
Design and implement backend services using C# / .NET and Web API
Work with SQL Server for database design, queries, and optimization
Collaborate with product, QA, and R&D teams to deliver high-quality features
Participate in code reviews and ensure best practices in code quality and architecture
Integrate and utilize AI development tools to improve productivity and code quality
Support ongoing system enhancements and production maintenance

A deep-tech startup building real-time vision intelligence systems, is looking for a hands-on Embedded Hardware & System Integration Engineer to join its team and help develop advanced electro-optical systems for real-world applications.
This role is focused on hardware and system integration-not algorithms or optics. We are looking for someone who enjoys working with sensors, cameras, interfaces, suppliers, debugging, and bringing complex systems from concept to a reliable product.
Responsibilities:
Select and evaluate hardware components for electro-optical systems.
Analyze datasheets, ICDs, application notes, and technical specifications.
Work directly with suppliers on technical evaluations, integration requirements, and component selection.
Integrate cameras, sensors, and peripherals with embedded/edge computing platforms (e.g., NVIDIA Jetson).
Support hardware bring-up, system integration, testing, and debugging.
Troubleshoot issues related to hardware, power, communications, drivers, cabling, thermal performance, and system stability.
Define and execute component-level and system-level validation tests.
Maintain BOMs, wiring diagrams, integration documentation, and test procedures.
Support transition from prototype to production and field deployment.

We are looking for a talented Software Engineer to join a team building an internal, AI-powered platform designed to significantly improve product quality by identifying edge cases and long-tail scenarios in autonomous driving systems.
Using state-of-the-art Vision and Language models, the team is rethinking how training, validation, and stress-testing are done.
This is a highly impactful engineering role focused on building innovative internal products end-to-end- tools developed from scratch that are designed to become part of the companys daily workflows and directly influence core algorithmic and product decisions.
If youre passionate about deep learning-driven products, large-scale experimentation, and owning complex systems from design to production- this is the place for you.
What will your job look like:
Take part in building an AI search platform from scratch, and owning it end to end in a production environment.
Design and implement full-stack solutions, including backend services, frontend interfaces, and database management.
Work with cloud-based systems, containers, and modern software infrastructure to support performance, scale, and reliability.
Collaborate closely with algorithm developers and internal users to expose complex capabilities in a simple, usable way.

A cutting-edge deep-tech startup is looking for a Senior Backend / Full-Stack Developer (backend-leaning) to join its core engineering team and help build advanced vision intelligence systems for early threat detection - including drones, boats, and other targets at the edge of visibility.
This role is ideal for someone who enjoys ownership, working across the stack, solving complex engineering challenges, and building meaningful real-world technology.
What youll do:
Own and build backend services in a distributed, event-driven system
Develop real-time data pipelines between edge devices and operator systems
Design and evolve core system architecture and data flows
Build and maintain features in Vue 3 + TypeScript when needed
Develop and scale a large, production-grade TypeScript codebase
Drive reliability, performance, and scalability in production systems
Work closely with product and engineering in a highly hands-on environment

We are looking for someone who brings ML and computer-vision depth to the team - someone who can help shape the intelligence layer that decides what data is worth training on.
What will your job look like:
Work collaboratively with shared ownership. Your focus area will be the curation and ML side of our data pipeline, but you will contribute across the full stack alongside the rest of the team.
Build and improve the curation pipeline - from vision-model embeddings and scene detection, through VLM-based scene analysis, to scoring, deduplication, and sampling that produces a balanced and diverse dataset.
Run and optimize GPU inference at scale (embedding extraction, VLM inference) across thousands of driving sessions using workflow orchestration.
Develop scoring and sampling strategies that ensure rare but important scenarios (night driving, adverse weather, hazardous situations) are well-represented in the final dataset.
Work with algorithm teams to understand what data gaps hurt model performance and translate those into curation criteria.
Build validation and diagnostics that measure dataset quality - not just pipeline health, but whether the data is actually good for training.
Contribute to the core dataset SDK, converter, and 3D-geometry tooling (camera projection, calibration, coordinate transforms).

Required Senior Data & ML Infrastructure Engineer
What will your job look like?
Optimize distributed data and evaluation pipelines for memory efficiency, throughput, and training performance.
Build tools for data exploration, manipulation, validation, and quality assessment.
Own model manipulation, packaging, distribution workflows, and interfaces with downstream deployment and EyeQ integration.
Coordinate data contracts and workflows with researchers, infrastructure and data teams, and internal customers across.

We are looking for an experienced Software and Integration Engineer to join the CTO group and take a key role in delivering robust, large-scale autonomous driving software.
The group is primarily focused on the decision-making module of our self-driving car. It leverages a wide range of algorithmic approaches, rigorous formal definitions, and mathematical modeling- enriched by insights drawn from large-scale data and real-world driving experience.
In this role you will play a key role in designing, building, and maintaining Algo utility and software infrastructure within the company's primary algorithmic flow.
What will your job look like:
Take part in technical design and decision-making, balancing performance, scalability, and maintainability.
Debugging real-time oriented code while adhering to high standards of memory management and running-time requirements.
Manage the groups software delivery, ensuring timely, high‑quality releases.
Opportunities to work on cutting-edge projects and technologies in the autonomous driving industry.
Working closely with external algo teams and various departments for requirement gathering and the correct integration of new features.

We are looking for a strong Senior C++ Developer to join the Hawkeye team and play a key role in building production-level systems around our core 3D sensing, perception, and deep learning algorithms.
This is a rare opportunity to build the software layer that turns advanced neural network models for 3D reconstruction, object detection, and localization into efficient, reliable, production-ready systems running on edge devices in autonomous vehicles.
You will be part of a small, growing team working closely with algorithm developers to bring cutting-edge 3D perception models into real-world vehicle systems. This is a hands-on role with high ownership, combining deep C++ development, neural network integration, system optimization, and production delivery.
The role is ideal for someone who is excited by the intersection of modern C++ engineering, real-time systems, and deep learning deployment for high-precision 3D sensing - and who wants to grow over time into a broader technical leadership position.
What will your job look like?
Design and implement large-scale C++ systems around AI and algorithmic pipelines for 3D sensing and perception in a real-time, vehicle-oriented environment.
Integrate neural network models into production software - including model runtime integration, sensor/data flow, pre/post-processing, and system-level validation - for tasks such as 3D reconstruction, object detection, and localization.
Work closely with deep learning, computer vision, and 3D algorithm teams to take models from research/prototype stage into robust production systems on the vehicle.
Build and own application-level infrastructure that enables algorithmic and neural network solutions to run efficiently on edge devices under strict latency and resource constraints.
Optimize runtime performance, memory usage, latency, and throughput for high-precision 3D perception workloads in resource-constrained environments.
Contribute to neural network deployment flows, such as ONNX Runtime integration, model conversion, inference execution, profiling, and optimization.
Lead end-to-end development of features - from design and implementation to integration, testing, and deployment.
Take part in building CI/CD processes, automated testing, and development workflows for production algorithm systems.
Debug complex real-time systems involving C++ infrastructure, 3D algorithmic logic, and neural network execution.
Collaborate with multiple teams across, gaining deep exposure to both system architecture and state-of-the-art 3D sensing and AI algorithms.
Gradually take broader technical ownership, mentor others, and grow into a technical leadership

For a growing startup in the field of real-time vision intelligence systems, developing solutions deployed in critical environments where the technology directly impacts safety and helps protect lives.
The company is looking for a senior, hands-on software developer to help build and evolve its core platform. This role is ideal for someone with strong Python skills who enjoys solving complex engineering challenges, shipping high-quality features, and improving system reliability and scalability.
Part of the role includes working close to the hardware on Linux-based embedded systems (including NVIDIA Jetson), making this a great fit for engineers who enjoy working across the stack and taking ownership in a mission-driven environment.
Responsibilities:
Design, develop, and deliver end-to-end features across a complex, real-time system
Build and maintain scalable, reliable software running in production environments
Work on Linux-based embedded systems, including performance optimization and system-level integration
Collaborate with cross-functional teams (algorithms, hardware, product) to deliver high-impact solutions
Continuously improve system architecture, code quality, and development processes
Troubleshoot and resolve complex issues in real-time, resource-constrained environments
Take ownership of features from design through deployment and monitoring

We are looking for a Senior Algorithm Engineer to lead the design and development of large scale ML inference and data processing systems in production. In this role, you will work at the intersection of algorithms, data systems, and machine learning infrastructure, building scalable and efficient solutions that support high throughput model inference and large scale data processing. The position involves close collaboration with ML researchers and infrastructure teams to design robust systems that power production ML workloads.
What will your job look like:
Design and optimize algorithms and pipelines for large scale model inference
Build scalable systems for high throughput data processing and streaming
Develop data transformation and preprocessing components for ML workloads
Improve performance, efficiency, and reliability across distributed inference systems
Work closely with ML researchers, infrastructure, and platform teams
Drive architectural decisions for production ML and data systems.

We are looking for an Expert Deep Learning Research Engineer who will both drive independent deep learning research and collaborate closely with other developers to help unlock new directions, solve complex challenges, and elevate the teams algorithmic capabilities.
What will your job look like:
Conduct hands-on research and development of deep learning algorithms for road understanding, drivable area detection, and scene structure modeling
Lead exploratory investigations into new architectures, training strategies, and data utilization methods
Join forces with other developers to troubleshoot difficult problems, introduce new ideas, and guide technical decisions
Own projects end-to-end - from concept and experimentation to integration and scalable deployment.

Required Experienced SoC Verification Engineer
Our SOC verification group owns the important and challenging job of verifying our chip. It is involved from product specification to final SOC delivery, and involves all the system components. The group is made up of few of the best verification engineers, so besides contributing to making our roads safer, youll get the chance to work at one of the most professional verification teams.
What will your job look like:
You'll be responsible for Pre-Silicon system-level verification of the most cutting-edge AI accelerators and technologies in the automotive field.
Define the TestPlan, develop and run tests on simulation/emulation environments, develop test environment and verification collaterals.
You'll have a broad effect on our unique product from the very beginning of the process.

Requred Experienced Machine Learning Engineer
Our Hawkeye team is developing advanced close-range 3D perception for autonomous vehicles, enabling safe automated parking and low-speed maneuvers in tight environments. We build multi-camera deep learning systems for precise and reliable understanding of the vehicles surroundings.
What will your job look like:
Research and develop cutting-edge end-to-end 3D perception models combining geometry and semantics
Work on 3D Semantic Occupancy, Geometry Reasoning, 3D Reconstruction, 3D Object Detection, and related tasks
Innovate in multi-view fusion, motion handling, and spatial representation learning
Deliver models that run on real vehicles and integrate into production systems.

An Israels leading provider of SaaS-based software solutions for comprehensive Human Capital Management, is seeking for an experienced System Analyst to join an innovative team focused on developing and implementing AI-based solutions. This role involves leading end-to-end system analysis processes for complex systems, working closely with development, data, and business teams.
Responsibilities:
Analyze business needs and translate them into functional and technical specifications
Define and design AI-based systems
Collaborate with stakeholders including business users and development teams
Support development, testing, and implementation processes
Define and document system integrations and APIs

We are looking for an experienced Deep Learning Algorithm Developer to join one of our teams developing perception technologies for autonomous driving.
Our group tackles diverse challenges - from object detection and scene understanding to 3D perception - using large-scale, real-world in-house datasets and state-of-the-art deep learning models.
What will your job look like:
Develop and train neural networks for complex perception tasks in real-world driving environments.
Design and analyze deep learning pipelines, from data to deployment.
Collaborate with algorithm, software, and data experts to deliver production-ready models.
Research and apply new methods in computer vision, 3D perception, and multi-task learning to improve performance and efficiency.