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Come join us for an intriguing role at the forefront of technology that has a significant contribution to national security!

What will your job look like?

Definition, development and management of requirements for avionics systems.
Writing requirements documents, ICD documents, system design and integration documents.
Conducting integrations and system experiments.
Participation in technical surveys.

We are looking for a Software Delivery & Integration Manager to join the Integration team, which is responsible for the Software delivery of our company algorithmic department, owning the CI process, including tools and test definition. ** This role requires a minimum of 2 days per week on-site at our Jerusalem offices.
What will your job look like:
Monitor development and delivery KPIs across algorithm teams, ensuring alignment with ASPICE compliance requirements and internal SDLC processes
Assess delivery rates, milestone progress, and execution quality, with attention to traceability, documentation, and adherence to engineering standards
Identify and investigate inefficiencies or blockers in the development lifecycle, including gaps in process compliance or deviations from defined workflows
Analyze trends and discrepancies across teams; synthesize actionable insights and escalate risks to leadership as needed
Maintain and continuously improve dashboards that track team and project performance, with visibility into compliance with SDLC stages (e.g., requirements coverage, code reviews, testing, validation)
Collaborate with the Data Analysis team to define metrics, improve visualizations, and ensure accurate reflection of delivery status and ASPICE-related checkpoints
Propose new indicators or methods to better reflect department health and delivery velocity
Escalate risks and deviations to relevant management levels
Recommend improvements in development processes, reporting frameworks, and tracking mechanisms
Create and deliver periodic summary reports for Algo and Engineering leadership.

We are looking for a Software Delivery & Integration Manager to join the Integration team, which is responsible for the Software delivery of our company's algorithmic department, owning the CI process, including tools and test definition. ** This role offers the flexibility to work part-time from our other sites, subject to seat availability.
What will your job look like:
Monitor development and delivery KPIs across algorithm teams, ensuring alignment with ASPICE compliance requirements and internal SDLC processes
Assess delivery rates, milestone progress, and execution quality, with attention to traceability, documentation, and adherence to engineering standards
Identify and investigate inefficiencies or blockers in the development lifecycle, including gaps in process compliance or deviations from defined workflows
Analyze trends and discrepancies across teams; synthesize actionable insights and escalate risks to leadership as needed
Maintain and continuously improve dashboards that track team and project performance, with visibility into compliance with SDLC stages (e.g., requirements coverage, code reviews, testing, validation)
Collaborate with the Data Analysis team to define metrics, improve visualizations, and ensure accurate reflection of delivery status and ASPICE-related checkpoints
Propose new indicators or methods to better reflect department health and delivery velocity
Escalate risks and deviations to relevant management levels
Recommend improvements in development processes, reporting frameworks, and tracking mechanisms
Create and deliver periodic summary reports for Algo and Engineering leadership.

We are looking for an experienced Software Engineer to join a new and growing team within our company's End-to-End 3D Perception Research Group. Our team is building critical infrastructure and solutions that bridge the gap between cutting-edge deep learning research and production-ready autonomous driving technologies. A major focus of the team is the development of an internal evaluation platform that will enable researchers to assess their model against product KPIs. Youll work on efficiently processing large-scale datasets while defining precise and actionable metrics that provide measurable indicators aligned with product goals. Your work will be pivotal in uncovering model failures and driving continuous improvement, ensuring our perception models meet the rigorous demands of real-world deployment. Collaborating closely with researchers, youll create tools that accelerate model iteration and deployment, while helping to establish best practices that enhance the stability, scalability, and reliability of our software infrastructure.
What will your job look like:
Design and implement infrastructure and tools that support the full lifecycle of model development from research to production
Develop and maintain a robust evaluation platform for measuring models against product-level KPIs
Contribute to the scalability, maintainability, and reliability of the teams codebase
Define and promote engineering best practices across the group.

We are looking for a Cloud Engineer to join our growing Infrastructure cloud team in Tel Aviv and to take part in our effort to improve our product, productivity, security and the ability to scale.

You will be part of the company's Autonomous Vehicle projects which is responsible for delivering high-quality AV (Autonomous Vehicles Systems) products. The Product Validation department is developing a modular CI process to support a complex variety of car models. We are precepting the complex system as a whole and are the first point of contact between the software to the hardware. As an infrastructure developer, you will be interacting with the team members as well as with most of our company's departments, to develop state-of-the-art software infrastructure based on a thorough understanding of product behavior.
What your job will look like?
Be a part of the automation and CI infrastructure team.
Develop a software infrastructure to allow the development of automated tests for the autonomous vehicle lab.
Work on a variety of aspects of the autonomous vehicle.
Work in a multi-tasked, dynamic, and diversified environment.
Have responsibility and impact over the autonomous vehicle.
Work closely with other development and validation team members.
Improve and maintain the CI/CD infrastructure.

We are looking for a Release Manager who thrives on driving complex software releases across multiple teams and platforms. In this role, youll lead the release lifecycle from planning through deployment, building tools and processes that keep development moving at scale.
What your job will look like:
Lead and coordinate the end-to-end release process for ADAS and Autonomous Vehicle (AV) software products.
Develop and maintain automation tools and scripts for build, integration, and deployment pipelines.
Collaborate with development, integration, QA, product, and project teams to ensure smooth releases with high quality and minimal risk.
Monitor progress and performance across the release lifecycle, using metrics to ensure transparency and continuous improvement.
Manage release schedules, dependencies, and deliverables while proactively identifying and mitigating risks.
Own communication for all release-related plans, statuses, and changeskeeping stakeholders aligned.
Maintain comprehensive documentation of release artifacts, procedures, and configurations.
Stay current with industry trends and technologies in CI/CD, software configuration management, and DevOps.

our company's Autonomous Driving Software Group in Haifa is looking for a Teach Lead 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 company's 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.
Provide guidance and mentorship to software development teams.
Defining work process tools and technologies to enforce our customers' requirements.
Working in a large group of software developers with cross-team collaboration.

We are looking for a brilliant and enthusiastic DevOps Engineer to join our close-knit and highly-skilled team to help expand our platform to newer heights. As a team member, you will take part in the design and implementation of our ever-evolving infrastructures, providing us with smooth and robust DevOps solutions.
Roles and Responsibilities:
Build and maintain highly available and scalable production systems
Design and implement dynamic serverless cloud environments
Develop a robust, fully-automated deployment for SAAS solutions
Monitor system performance and implement optimizations for reliability and cost-efficiency
Work closely with development, security, and automation teams to foster a culture of security awareness
Research and integrate new DevOps technologies using best practices

We are looking for a Senior DevOps Engineer to join our team. This is a hands-on role focused on designing, building, and maintaining scalable infrastructure and deployment pipelines.
You will collaborate closely with development, product, and research teams to deliver robust, secure, and high-performing systems that support our SaaS and on-premise solutions.
Responsibilities:
Take full ownership of DevOps initiatives, driving them from concept to execution across teams.
Develop and maintain CI/CD pipelines to ensure efficient and reliable software delivery.
Collaborate with developers to optimize build and deployment processes.
Manage and enhance cloud infrastructure on AWS & Azure using infrastructure-as-code tools like Terraform.
Implement and maintain monitoring, logging, and alerting systems to ensure system reliability and performance.
Write and review Python code to support infrastructure automation and tooling.
Contribute to FinOps initiatives by monitoring and optimizing cloud costs.
Promote a culture of ownership, continuous improvement, and cross-team collaboration.
Stay up-to-date with emerging DevOps technologies and best practices to continuously improve our systems.

We're looking for an innovative Prompt Engineer to join our team, combining classic QA expertise with cutting-edge language model technology. This unique role sits at the intersection of Quality Assurance and Generative AI, helping shape how our company leverages advanced technology.
In This Role, You Will Be Responsible For:
Designing and developing sophisticated prompts to enhance functionality across our applications and platforms.
Creating and executing comprehensive TEST suites for our intelligent systems.
Performing both manual and automated Quality Assurance to ensure optimal performance.
Contributing to system architecture decisions and technical planning.
Innovating new methodologies for implementing AI features within us.
What Makes This Role Unique:
This position combines traditional QA expertise with the emerging field of prompt engineering.
You'll be responsible for planning and creating features that leverage language models while mastering the art of prompt crafting to achieve optimal results. As prompt engineering is an evolving field, you'll have the opportunity to shape best practices and develop innovative solutions.
Our MissionOur mission is to elevate how finance teams operate in the global economy.
We empower our customers to scale faster and smarter by removing the complexities of doing global business and accelerating their finance operations efficiency.
We are the AI-powered platform that automates finance.Tipalti is fueled by a commitment to our customers and a desire to build lasting connections. Our client portfolio includes high-velocity businesses such as Amazon Twitch, GoDaddy, Roku, WordPress.com, and ZipRecruiter. We work hard for our 99% customer retention rate which is built on trust, reliability and innovation. Tipalti means we handled it" - a mission to which we are constantly committed.AccommodationsTipalti champions inclusive teams, in which every voice counts. We are committed to recruiting diverse candidates with varied personal experiences and abilities. We welcome applications from candidates belonging to historically underrepresented or disadvantaged groups, and maintain an equitable Talent Acquisition process that is free from discrimination.As an equal opportunities employer, we complies with employment and human rights laws across the various jurisdictions in which we operate. Should you require reasonable adjustments or accommodations during the recruitment process, including access to alternate formats of materials, meeting spaces, or other accommodations that could better enable your full participation, please reach out to us for assistance.
Privacy About:
We are committed to protecting the privacy interests of job applicants and candidates. For more information about our privacy practices during our Talent Acquisition process, please refer to our Job Candidate Privacy Notice.

seeking a Senior Software Engineer to join our Agile development team!
As part of your role, you will be part of the team responsible for building foundational services and contributing to developing next generation of Construction Cloud Platform, which is used with mobile, web applications, and cloud services.
we work in a hybrid working environment based in our TLV office.
Responsibilities
Work as a member of a self-organized agile team that builds, owns, and runs the service
Contribute to all aspects of service development using Node.js
Work closely with product management to understand and translate requirements into elegant implementations

Company Overview: our mission is to enable its global customers to protect and save lives by enhancing digital investigations and intelligence gathering to accelerate justice in communities around the world. Cellebrites AI-powered Digital Investigation Platform enables customers to lawfully access, collect, analyze and share digital evidence in legally sanctioned investigations while preserving data privacy. Thousands of public safety organizations, intelligence agencies and businesses rely on our company digital forensic and investigative solutions-available via cloud, on-premises and hybrid deployments-to close faster and safeguard communities.  Join our AI SaaS Team and take a pivotal role in shaping the next generation of forensic AI solutions. Youll design and build the infrastructure, tools, and pipelines that empower our researchers and data teams to innovate faster and smarter. In this role, youll work side-by-side with data scientists and AI researchers to transform ideas into reality integrating multi-modal data state-of-the-art Machine Learning models, and intuitive interfaces into scalable solutions. Youll also take ownership of AI/GenAI infrastructure and bring MLOps best practices into play, ensuring smooth data flows, efficient model training, and seamless deployments. This is your chance to bridge research and engineering, influence cutting-edge products, and deliver impactful forensic insights to investigators worldwide.
Key Responsibilities
* Develop and maintain AI/GenAI infrastructure: training environments, pipelines, and data Storage.
* Build scalable data pipelines for acquisition, transformation, and integration of multi-modal data.
* Support researchers by creating tools, visualizations, and prototypes for experiments and POCs.
* Collaborate with data scientists and engineers to operationalize AI models into our SaaS products.
* Design and maintain cloud-native MLOps solutions for scalable deployments.
Office Location:
Petah Tikva

We're seeking a Staff engineer - AI Builder to lead the design and implementation of AI-native technical frameworks that redefine how large-scale systems are built, extended, and evolved.

This role is deeply technical and architecture-driven, focused on designing modular, extensible, and AI-first system foundations that enable scalable development with AI as a core engineering collaborator.

You will work across the full stack, building infrastructure where AI actively generates, extends, and maintains software components as part of the native development flow.

This is not about incremental AI integration this is about architecting the frameworks that let AI scale software engineering 10x faster and smarter.

Responsibilities:
Architect and lead the development of AI-native system frameworks that emphasize modularity, extensibility, and adaptive scalability.
Build platform primitives that enable dynamic AI-driven module and extension generation.
Design and implement developer workflows optimized for AI-assisted software development, embedding AI collaboration as a first-class design principle.
Define and codify AI-native engineering practices, patterns, and guidelines to elevate our software development lifecycle.
Establish and champion best practices for AI-assisted engineering across system design, code quality, testing, observability, and operational scalability.
Drive hands-on prototyping and iterative delivery across frontend, backend, and orchestration layers.
Provide technical leadership and mentorship, fostering an AI-first engineering culture across teams.
Partner closely with Product, AI, and Engineering teams to align system evolution with AI-native goals.

We are growing and are looking for a Senior Data Platform Engineer
who value personal and career growth, team-work, and winning!
What your day will look like:
Design, plan, and build all aspects of the platforms data, machine learning (ML) pipelines, and infrastructure.
Build and optimize an AWS-based Data Lake using best practices in cloud architecture, data partitioning, metadata management, and security to support enterprise-scale data operations.
Collaborate with engineers, data analysts, data scientists, and other stakeholders to understand data needs.
Solve challenging data integration problems, utilizing optimal ETL/ELT patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources.
Lead end-to-end data projects from infrastructure design to production monitoring.