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In this role, you will work closely with release managers, main bundle integration teams, validation groups, and various R&D units across the company to ensure the delivery of high-quality products. Our team is responsible for integrating algorithmic and software code into our companys main repository, managing a range of gating tests, and delivering the technology content to the main bundle integration team.
What will your job look like:
Deliver versions of the technology out to the project integration
Work closely with development, release management, and validation teams
Define and write offline tests for all the various projects
Dig into source code and scenarios in order to identify, triage, and prioritize issues
Debug issues in our company's production platforms where the root cause could span across multiple domains
Maintain and review overall stability and resource utilization (CPU, RAM, Flash) of the system.

we are a global leader in autonomous driving technologies and advanced driver-assistance systems (ADAS). Our cutting-edge solutions, including the EyeQ chip, our company SuperVision, our company Drive, and our company Chauffeur, leverage computer vision and machine learning to enhance vehicle safety and enable self-driving capabilities. Integrated into millions of vehicles worldwide, our technology is redefining the automotive industry and driving the evolution towards smarter, safer, and more autonomous mobility.
In our group, we research, develop, and deploy state-of-the-art lidar based techniques to achieve world-class results, enabling the safe development of Autonomous Driving features and Advanced Driver Assistance Systems.
This role requires working at our Jerusalem offices 2 days per week.
What will your job look like:
Research, design, develop, and implement lidar based algorithms in both Python and C++ for solving complex problems
Evaluate existing models and techniques, and propose innovative approaches to improve algorithm performance and accuracy
Examine your algorithms on large-scale real-world data from our data collection vehicles across the globe
Collaborate with cross-functional teams to understand requirements and develop solutions
Optimize existing algorithms to improve performance and scalability.

Join our innovative team at our company, where you will lead a talented Deep Learning R&D team developing advanced neural networks that are essential for our companys key products.
In this role, you will lead a team responsible for developing real-time vision models that power the vehicles understanding of its environment. The team combines research, hands-on development, model training, data analysis, optimization, and product-grade delivery for autonomous driving technologies and advanced driver-assistance systems.
As a Deep Learning R&D Team Lead, you will be responsible for both the technical and managerial leadership of the team. You will guide the full development cycle of deep learning solutions - from understanding the problem and data, through modeling and training, to performance improvement, validation, and delivery into production systems.
The role is ideal for someone who is technically strong, creative, independent, and motivated by solving complex, open-ended problems while leading people and driving execution in a fast-paced, product-oriented environment.
What will your job look like?
Lead a small and highly capable Deep Learning R&D team working on real-time computer vision models for our companys products.
Provide technical leadership across the full deep learning development cycle, including data understanding, model design, training, evaluation, optimization, and production readiness.
Drive goal-oriented research and development, balancing innovation with practical product needs, timelines, and delivery quality.
Mentor, support, and develop team members, while creating a strong professional environment that encourages ownership, creativity, and continuous improvement.
Break down complex and ambiguous problems into clear work plans, priorities, milestones, and execution steps.
Collaborate closely with cross-functional teams to understand requirements, align expectations, and deliver effective solutions.
Improve existing models and development flows to enhance accuracy, robustness, runtime performance, scalability, and product impact.
Stay up to date with the latest advancements in deep learning, computer vision, AI architectures, and AI-based development tools, and apply relevant ideas to improve the teams work.

We are looking for a Deep Learning Tech Lead, who will be challenged by solving real-world problems using Computer Vision. Our mission in the algorithms department has a significant impact on autonomous vehicle technologies, external customers, and advanced driver-assistance systems (ADAS). In this role, you will be responsible for the full cycle of deep learning R&D, including modeling new solutions and enhancing the performance of existing ones. Your responsibility will include design, implementation, guidance and mentoring for team members. You will leverage your extensive experience to lead multiple deep projects, and will be a key figure in leading successful execution and in finding creative solutions to difficult bottlenecks, across data, AI, engineering and product considerations.
** This role offers the flexibility to work part-time from our other sites, subject to seat availability.
What will your job look like:
Lead the design, development, and implementation of accurate and robust AI algorithms for new projects
Research the latest advancements in deep learning, multi-task learning, AI architectures, and apply them to enhance our algorithm
Design, develop and implement deep learning algorithms to solve complex problems in computer vision
Take ownership of deep learning projects: Design solutions, oversee execution, and collaborate with talented Algorithm developers
Collaborate with cross-functional teams to understand requirements and develop solutions.

We're hiring an exceptional Applied AI Scientist to join our team!

In this role, you'll design and deploy enterprise-grade AI agents that drive real business impact across Tipalti's core functions - Sales, Marketing, Customer Success, Customer Support, Risk, and Finance. You'll be building agentic systems that execute complex, multi-step business workflows end-to-end. The ideal candidate is a hands-on builder with deep AI expertise who thrives on turning complex business problems into reliable, production-grade AI systems.


In This Role, You Will Be Responsible For


Enterprise AI Agent Development: Designing, building, and deploying AI agents that automate and augment high-value workflows across business functions - including lead qualification and outreach (Sales & Marketing), churn reduction(Customer Success), and Ticket deflection (Support).
Agentic Architecture & Orchestration: Owning the end-to-end agent stack - from tool use, memory management, and multi-step planning to human-in-the-loop escalation patterns, guardrails, and audit trails suited for an enterprise fintech environment.
Knowledge Systems: Building and maintaining RAG pipelines that ground agents in proprietary knowledge - product documentation, customer data, financial records, and internal playbooks - using vector databases, hybrid search, and re-ranking.
Evaluation & Continuous Improvement: Defining agent evaluation frameworks that measure task completion, accuracy, hallucination rates, latency, and business impact - then iterating on agent behavior based on real usage data and stakeholder feedback.
Cross-Functional Collaboration: Partnering with stakeholders across the company to define agentic use cases, translate business requirements into technical features, and deliver products that create measurable ROI - from data preprocessing through product deployment.

We are looking for a Deep Learning Tech Lead, who will be challenged by solving real-world problems using Computer Vision. Our mission in the algorithms department has a significant impact on autonomous vehicle technologies, external customers, and advanced driver-assistance systems (ADAS). In this role, you will be responsible for the full cycle of deep learning R&D, including modeling new solutions and enhancing the performance of existing ones. Your responsibility will include design, implementation, guidance and mentoring for team members. You will leverage your extensive experience to lead multiple deep projects, and will be a key figure in leading successful execution and in finding creative solutions to difficult bottlenecks, across data, AI, engineering and product considerations.
** This role requires working at our Jerusalem offices 1 day per week.
What will your job look like:
Lead the design, development, and implementation of accurate and robust AI algorithms for new projects
Research the latest advancements in deep learning, multi-task learning, AI architectures, and apply them to enhance our algorithm
Design, develop and implement deep learning algorithms to solve complex problems in computer vision
Take ownership of deep learning projects: Design solutions, oversee execution, and collaborate with talented Algorithm developers
Collaborate with cross-functional teams to understand requirements and develop solutions.

our companys 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.
In our company, 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 companys 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 a Technical Support Engineer.
As a Technical Support Engineer, you'll take ownership of technical escalations and serve as the central point of contact for various operational teams. Your primary focus is to assist our customers in maximizing the use of our global financial automation platform, ensuring seamless business operations. Collaborate with engineering and product teams to swiftly investigate and resolve complex technical issues while delivering an exceptional customer experience.
In this role, you will be responsible for:
Take full ownership of technical issues escalated by the Onboarding Managers, Customer Support and Customer Success teams, ensuring a seamless troubleshooting process - including information gathering, root cause analysis, and clear resolution communication.
Lead internal escalations with Engineering and Product teams to ensure a timely response and appropriate actions to mitigate customer impact.
Provide expert technical support across Payments, Payees, and Cards domains, including complex payment workflows and payment provider integrations, while working closely with internal operational and Engineering teams to ensure seamless customer resolution.
Diagnose and troubleshoot high-impact payment issues, including payment lifecycle discrepancies, provider-related failures, cutoff-related delays, transaction status issues, and payment processing escalations, driving robust and customer-focused resolutions.
Work closely with team leadership to identify emerging issues before they become widespread, contributing to proactive risk mitigation.
Identify trends in technical challenges, driving long-term improvements to enhance customer satisfaction and system reliability.
Maintain internal documentation and actively contribute to knowledge-sharing across the team.

our company Autonomous Driving software group is looking for a Linux kernel expert with deep knowledge in the PCIe standard. As a Linux Kernel PCIe Architect, you will be part of the OS Architecture team and will be responsible to define the operating system solutions based on the PCIe standard for connectivity with peripherals and as an interconnect between multiple EyeQ SoCs.
This is an exciting and unique opportunity to work with highly talented Linux OS architecture and developments teams and be a leader in the definition of the cutting-edge technology for the Automotive AI applications.
What will your job look like?
Researching and defining the SW solutions based on the PCIe standard and the Linux implementation for the PCIe stack
Designing and Implementing the SW Stack for the communication between the EyeQ SoCs laying the infrastructure for cross chip neural networks.
Defining the future HW solutions by working closely with the SoC Architecture team in a SW/HW co-development environment.
Performing performance analysis, feasibility studies, PoCs and optimization flows to achieve the highest performance with minimal resources.
Work closely with the Linux Kernel team and provide the technical guidance and mentoring for development engineers.

We are seeking a highly technical QA Engineer to join our engine engineering group. In this role, you will be the guardian of quality for our core platform capabilities. You will be responsible for designing and implementing robust automation frameworks, ensuring the architectural integrity of our testing suites, and validating complex features across both client-side and server-side systems. You will work in a fast-moving environment where quality is a shared responsibility, but you provide the strategy and tools to make it possible.

What Will You Do:
Take part in the QA effort within your squad, fostering a culture where quality is integrated into the development lifecycle from day one.
Design, implement, and own complex automation tests spanning engine logic and backend services.
Own the manual validation of features across multiple services: identify edge cases, manage test dependencies, and provide clear "Go/No-Go" signals.
Proactively identify technical and delivery risks, articulating the trade-offs between speed of delivery and test coverage.
Act as a key player in diagnosing complex production incidents and ensuring that "post-mortem" tests are added to prevent regressions.
Collaboration: Partner closely with Product and Developers to define "Definition of Done," unblock delivery, and ensure shared ownership of the product quality.
Strong expertise in the teams core stack (Node.js) to build and execute automated test suites (API, Integration, E2E).
Expert-level proficiency in Playwright for cross-browser E2E testing.
Ability to navigate and interact with the DOM efficiently for frontend testing, utilizing event delegation and understanding browser rendering to build stable UI tests.
Proactively identifies and implements improvements to testing pipelines, deployment gates, and internal QA tooling.
Ability to pivot testing strategies as the product evolves and independently learn new testing frameworks or technologies.

our company Autonomous Driving software group is looking for a Linux kernel expert with deep knowledge in the PCIe standard. As a Linux Kernel PCIe Architect, you will be part of the OS Architecture team and will be responsible to define the operating system solutions based on the PCIe standard for connectivity with peripherals and as an interconnect between multiple EyeQ SoCs.
This is an exciting and unique opportunity to work with highly talented Linux OS architecture and developments teams and be a leader in the definition of the cutting-edge technology for the Automotive AI applications.
What will your job look like?
Researching and defining the SW solutions based on the PCIe standard and the Linux implementation for the PCIe stack
Designing and Implementing the SW Stack for the communication between the EyeQ SoCs laying the infrastructure for cross chip neural networks.
Defining the future HW solutions by working closely with the SoC Architecture team in a SW/HW co-development environment.
Performing performance analysis, feasibility studies, PoCs and optimization flows to achieve the highest performance with minimal resources.
Work closely with the Linux Kernel team and provide the technical guidance and mentoring for development engineers.

We are seeking an experienced Full-stack Team Leader to lead a high-performing squad within our engine engineering group. In this role, you will be overseeing the development of core platform capabilities. You will be responsible for the professional growth of your developers, the architectural integrity of your teams output, and the successful delivery of complex features across both client-side and server-side systems in a fast-moving environment.

What Will You Do:
Lead, coach, and mentor a team of full-stack engineers, fostering a culture of technical excellence and continuous improvement.
Oversee the design and implementation of complex features spanning engine logic and backend services, ensuring the team writes robust, scalable, and maintainable code.
Own the end-to-end delivery of features across multiple services; break down high-level product initiatives into clear tasks, manage dependencies, and provide accurate timelines.
Lead architectural decisions and service design, clearly articulating trade-offs and ensuring modules are scalable and align with long-term platform goals.
Act as the escalation point for complex production incidents.
Enforce high standards for testing and monitoring.
Partner closely with Product, QA, and other Engineering Leads to unblock delivery, align on priorities, and ensure shared ownership of the product roadmap.
Strong expertise in the teams core stack (Node.js, Relational/NoSQL databases) with the ability to jump into the code and execute complex implementations when necessary.
Proven ability to design scalable modules and services within a distributed domain context.
Proactively identifies and implements improvements to team processes, deployment strategies, and development tooling.
Ability to lead the team through technical pivots and independently learn/adopt new technologies as the stack evolves.

our company's Imaging Radar group develops innovative high-performance Imaging Radar solutions for ADAS and Autonomous Driving markets. We are looking for a Software Architect to join the development of state-of-the-art products in mmW frequencies.
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:
Clearly define the requirements. Research the hardware, firmware, and software existing support and define the solution to match the requirements.
Hands-on resolution of complex issues
Resolve issues raised during implementation stages or feedback from customers.
Develop & communicate high-level designs and technical specifications
Define responsibilities of system components and interfaces
Identify risks and propose solutions in system designs
Define aspects of development; appropriate technology, workflow and standards
Evaluate existing system designs and propose improvements
Collaborate with other architects
Foster innovation through research, recommending the use of new technologies, processes or standards
Prepare, lead and participate in design reviews
Take part in all phases of the software development cycle.

we arelooking for a Senior QA Lead to act as a Quality Owner, driving scalable, consistent, and measurable quality across multiple development teams.
quality is owned by development teams. The QA Lead ensures this ownership is effective, aligned, and continuously improving - by defining standards, enabling teams, and providing system-level visibility and risk assessment.
The QA Lead engages at key points in the development lifecycle, focusing on high-impact areas such as complex features, cross-team flows, and potential risk zones.
This role focuses on strategy, enablement, and system thinking, rather than hands-on execution of tests.
In this role, you will be responsible for:
Leading quality strategy across teams, including defining testing approaches across different testing layers
Defining and driving quality standards, including Definition of Done and CI expectations
Prioritizing involvement based on impact and risk, focusing on high-impact areas such as complex features, cross-team flows, and potential risk zones
Establishing and monitoring quality metrics, and providing clear visibility into quality health
Leading cross-team quality efforts, especially around integrations, shared flows, and areas with unclear ownership
Building and maintaining a system-level understanding that enables early identification of gaps beyond individual team boundaries
Guiding development teams in test design and coverage decisions, promoting strong quality ownership within teams
Promoting effective and responsible use of AI in testing and quality processes
Driving continuous improvement in quality practices, while acting as a knowledge center for quality and system behavior within your domain

we are looking for an Embedded Software Engineer for performance verification and profiling.
You will join the Virtual Platforms and Performance Verification team in the EyeQ Platform Group (EPG), working on current and next-generation ADAS/AV systems.
Virtual platforms, performance models, and profiling tools are core components of the EPG infrastructure. These tools are used during the pre-silicon phase for hardware architecture optimization and software development, and in the post-silicon phase for software performance optimization.
What will your job look like:
Performance verification of EyeQ SoC designs
Development of hardware virtual platforms
Running hardware benchmarks and correlating virtual platform results with silicon measurements
Development of tracing and profiling tools for CPU performance analysis and optimization
Close collaboration with hardware architects and software, OS, and algorithm teams.