לוח משרות דרושים הייטק תוכנה משרה מלאה

We are seeking an experienced Staff Backend Engineer to lead the engineering efforts behind our homegrown platform for serving and operating production-grade AI models and AI based algorithms.
This is a mission-critical role for someone passionate about building highly-scalable, GPU-aware, cloud-native systems that act as the connective tissue between algorithm research and product innovation. You will play a pivotal part in re-designing and evolving the platform, while supporting both research and application teams across the organization, and contributing to MLOps initiatives.
Key Responsibilities
Platform Ownership
Own the architecture, stability, scalability, and performance of the system.
Design and implement platform features that support both synchronous low-latency and asynchronous compute-heavy algorithm execution.
Enhance GPU management, scheduling, and resource allocation for optimal performance and cost-efficiency.
Ensure robust Kubernetes-based deployment and observability for a highly dynamic system.
Cross-Team Collaboration
Act as the technical bridge between Research and Application teams by translating requirements into scalable system designs.
Collaborate closely with algorithm developers to streamline model deployment processes.
Partner with backend engineers (primarily working in Ruby and Go) to integrate the research group algorithms into our company services.
Engineering Excellence
Advocate for high standards in code quality, observability, testing, and security.
Guide engineering integration efforts when consuming the different platform APIs.
Provide mentorship, support, and best practices to other engineers interacting with the platform.
Take part in general R&D efforts, supporting a broader production environment.
Platform Extension and MLOps
Contribute to the evolution of our platform to support a wider range of algorithmic workloads and model types.
Help shape tooling and infrastructure for model versioning, rollout, monitoring, and testing.
Collaborate with DevOps and Infrastructure teams to maintain operational excellence, system observability, and robust infrastructure support

דרוש/ה Senior backend Engineer - חברת סייבר בת"א
היברידי.

we are looking for a Senior DevOps Engineer - ML Platform.
AI Engineering's ML-Platform team goal, is to deliver a modern infrastructure and solutions to enhance Algorithm development life cycle and shorten our delivery times. We are an independent group, consisting of excellent and experienced engineers with diverse skills in algorithms, software, and infrastructure. We strive to implement a DevOps culture allowing our engineers to easily collaborate on large-scale products.
We develop cross-company products that enable the research and deployment of state-of-the-art algorithms.
What will your job look like?
Build and maintain infrastructure for large‑scale AI and HPC workloads across on‑prem and cloud environments
Operate and enhance our multi‑cloud, multi‑cluster scheduling platform
Develop automation, tooling, and platform services und Bash
Troubleshoot complex issues across the stack: compute, networking, storage, orchestration, and distributed systems
Improve reliability of critical systems
Collaborate with ML, data, and backend teams to support evolving platform needs
Drive best practices in CI/CD, infrastructure-as-code, and system design
Participate in on‑call rotations for critical infrastructure components

We are a multidisciplinary development team working on a cutting-edge autonomous driving project, at the forefront of automotive technology. The team develops complex ECUs that combine multiple SoCs, low-level firmware, hardware, validation, and automation systems, enabling next-generation autonomous capabilities. We work closely with hardware, system, verification, and automation groups to bring up, debug, and validate advanced automotive platforms from early development stages through production. This is a highly technical, hands-on environment focused on solving real system-level challenges.
What will your job look like:
Debug complex HW/FW and system-level issues in an autonomous vehicle platform
Perform deep root-cause analysis across firmware, hardware, and automation systems
Lead firmware bring-up, integration, and debug of ECUs with multiple SoCs
Debug and support automation systems, including lab automation and FW verification environments
Analyze failures originating from automated test systems and distinguish between FW, HW, and test infrastructure issues
Work closely with HW, system, validation, automation, and architecture teams
Support issues from early development stages through production and field failures
Contribute to firmware debug methodologies and verification strategies
Provide technical leadership and mentoring when needed

we are looking for a Senior Embedded Software Engineer to join the development of state-of-the-art automotive imaging radar technology.
Our vision is to bring new and cutting-edge automotive radar sensor solutions, while leveraging assets and expertise in this field. Introducing best in class Radar sensor that would complement end-to-end autonomous driving solution platform
You will be part of a winning team in a fast-paced startup-like environment, working on many different components of the entire system. You will have an opportunity to make an impact on the design and implementation of an innovative technology in its early stages.
What will your job look like?
Develop embedded Software / FW for RTOS-based embedded system
Participate in System Level Design and Architecture defining hardware-software interface and interaction.
Successfully collaborate with system, algo, silicon, and hardware teams
Support system integration

We are a multidisciplinary development team working on a cutting-edge autonomous driving project, at the forefront of automotive technology. The team develops complex ECUs that combine multiple SoCs, low-level firmware, hardware, validation, and automation systems, enabling next-generation autonomous capabilities.
We work closely with hardware, system, verification, and automation groups to bring up, debug, and validate advanced automotive platforms from early development stages through production. This is a highly technical, hands-on environment focused on solving real system-level challenges.
What will your job look like:
Debug complex HW/FW and system-level issues in an autonomous vehicle platform
Perform deep root-cause analysis across firmware, hardware, and automation systems
Lead firmware bring-up, integration, and debug of ECUs with multiple SoCs
Debug and support automation systems, including lab automation and FW verification environments
Analyze failures originating from automated test systems and distinguish between FW, HW, and test infrastructure issues
Work closely with HW, system, validation, automation, and architecture teams
Support issues from early development stages through production and field failures
Contribute to firmware debug methodologies and verification strategies
Provide technical leadership and mentoring when needed

our EyeQ Platform Group (EPG) is seeking a motivated Formal Verification Engineer to join our team and contribute to development of hardware verification environments.
This position offers an opportunity to apply formal methods to verify the correctness of various complex digital systems.
This is an exciting opportunity to join a team of talented engineers, working cutting edge technologies in the field of autonomous vehicle.
What will your job look like:
Be the owner of formal verification environment from first draft to sign-off stage
Apply formal methods to verify the correctness of various complex digital systems
Work with HW architects\designers to define assumptions, rules and cover properties
Help define the formal verification methodology and environment to be applied by the team
Explore new Formal methods and Tools
Work with tools like Cadence JasperGold, Verisium manager, Xcelium, Indago
Analyze verification results, identify bugs, and collaborate with engineers to resolve design issues
Develop generic formal blocks\functions of commonly used logic, to be later used off the shelf

We are seeking a Senior Frontend Team Lead to guide the team building the central nervous system of REM.
Your team is responsible for a suite of critical web applications that drive the entire map lifecycle - from the operation of map production at scale to the delivery of data to customers.
These platforms serve a diverse ecosystem, including Developers, Analysts, and QA validating map quality, AI teams creating Ground Truth (GT), and Operations executing massive-scale map production.Utilizing Vue.js, WebGL, and Python FastAPI, you will lead the evolution of these complex, data-heavy applications, ensuring they meet the needs of internal R&D, operational production, and external customers alike.
What your job will look like:
Lead a team of senior frontend engineers: Provide technical leadership and mentorship to a team of experienced developers. You will focus on high-level guidance, architectural alignment, and professional growth.
Manage the lifecycle of multiple critical platforms, including the Map Editor, Ground Truth (GT) tools for AI, and the operational dashboards used for map production and customer delivery.
Work closely with diverse stakeholders (Developers, Data Analysts, QA, and Operations teams) to translate complex business needs into a clear technical roadmap.
Drive Engineering Excellence: Set high standards for code quality, performance, and scalability. You will be responsible for the production stability of tools that drive the daily operation of map creation.
Balance management responsibilities with hands-on technical work, including code reviews, architectural design, and contributing to the core Vue.js/WebGL/Python codebase.

Were looking for a highly skilled Full Stack Developer to join our engineering team. In this role, youll design, develop, and maintain both backend and frontend systems that power production and internal applications.
Youll work across teams to deliver user-facing features end to end, building scalable, high-availability solutions that support production environments and future web-based platforms.
What will your job look like?
Design, develop, and maintain scalable backend services primarily using Node.js (and Python where applicable), applying modern web frameworks and industry best practices.
Build rich, responsive user interfaces using React, Angular, or Vue.
Develop end-to-end features, integrating frontend and backend components into cohesive, production-ready solutions.
Design and manage databases (SQL and NoSQL), focusing on performance, reliability, and solid data modeling.
Support and enhance production applications, ensuring high availability, resilience, and smooth operation across environments.
Build, containerize, and deploy applications using Docker and Kubernetes in Linux-based setups.
Implement and maintain CI/CD pipelines using GitLab CI for automated testing, integration, and deployment.
Work with AWS services to deploy, monitor, and scale cloud-based applications.
Contribute to system architecture, participate in code reviews, and mentor junior developers when needed.
Collaborate closely with product, design, and cross-functional engineering teams to deliver high-quality user experiences.
All you need is:

Were looking for a highly skilled Full Stack Developer to join our engineering team.
In this role, youll design, develop, and maintain both backend and frontend systems that power production and internal applications.
Youll work across teams to deliver user-facing features end to end, building scalable, high-availability solutions that support production environments and future web-based platforms.
What will your job look like?
Design, develop, and maintain scalable backend services primarily using Node.js (and Python where applicable), applying modern web frameworks and industry best practices.
Build rich, responsive user interfaces using React, Angular, or Vue.
Develop end-to-end features, integrating frontend and backend components into cohesive, production-ready solutions.
Design and manage databases (SQL and NoSQL), focusing on performance, reliability, and solid data modeling.
Support and enhance production applications, ensuring high availability, resilience, and smooth operation across environments.
Build, containerize, and deploy applications using Docker and Kubernetes in Linux-based setups.
Implement and maintain CI/CD pipelines using GitLab CI for automated testing, integration, and deployment.
Work with AWS services to deploy, monitor, and scale cloud-based applications.
Contribute to system architecture, participate in code reviews, and mentor junior developers when needed.
Collaborate closely with product, design, and cross-functional engineering teams to deliver high-quality user experiences.

We are looking for a senior deep learning algorithm developer to join our growing team under Algorithms Group.
The team is building an innovative multimodal learning framework aimed at improving autonomous driving performance by understanding long-tail cases and providing actionable navigation insights.
Were combining state-of-the-art vision-language models to revolutionize how we train, validate, and scale our autonomous systems.
If youre passionate about deep learning and engineering high-impact autonomous solutions - this is the place for you.
What will your job look like:
Own dataset curation activities- acquiring, cleaning, labeling, and tailoring multimodal data to meet model training and validation requirements.
Train and fine-tune LLMs, VLMs, and VLA models to interpret visual scenes and produce actionable navigation insights supporting autonomous vehicle decision-making.
Lead robust validation of advanced multimodal models - ensuring reliable vision-language-action alignment and consistent performance across diverse real-world driving scenarios.
Collaborate closely with AV planners, perception teams, and infrastructure engineers to ensure seamless deployment in a real-time ecosystem.
Youll have the opportunity to influence the strategic direction of language-driven autonomy - proposing new ideas, shaping model capabilities, and driving innovation from research to real-world deployment.