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Innoviz is a leading provider of high-performance LiDAR sensors and perception software that enable safe autonomous driving on scale. We are looking for a Senior Software Engineer to join our software development team, focusing primarily on Lidar calibration software and production line automation. This is a hands-on role where you'll work directly with cutting-edge hardware, develop calibration procedures for the lidar, and contribute to the architecture of mission-critical software systems. Responsibilities Calibration software development : Design, implement, and maintain calibration software, working closely with System Engineers. Production line automation : Develop software solutions to automate manufacturing processes. Software quality improvement : Enhance code quality, test frameworks, and development practices across the team. Architecture & design : Contribute to high-level software architecture decisions and system design. Cross-functional collaboration : Work closely with software, hardware and system engineers.

Sub Department:
ATE

City:
Rosh Ha‘Ayin

We are looking for a motivated Principal System QA Engineer, to join the Cortex System QA group, infrastructure team, in our Tel Aviv R&D center. As a Principal System QA Engineer, you will play the role of setting up the Platform, XDR & XSIAM, system environment, infra-related and System E2E user flows, enhancing them with every release, and executing and analyzing them for different releases. In this role, you will work closely with the developers, product managers, and other QA engineers, and also be in charge of maintaining appropriate test labs for smooth test execution.
You need to have a passion for improving the overall quality of the product you test. All this in a fast-paced process of development, testing, and release. Cortex XSIAM is one of the fastest-growing products in the history of cybersecurity. Being a part of XSIAMs product team gives you an unrivaled chance to work with an amazing core team, on a new product, right from its inception, and do that with the resources of the world's cybersecurity leader. At XSIAM we challenge the status quo and create the platform and practices that redefine the cybersecurity industry as we know it. We are currently on a mission to transform security operations. By breaking the silos between endpoint, network, and cloud, leveraging AI and combining endpoint prevention with cross-data detection, investigation and response - our platform provides the modern SOC with the most complete protection against any threat, at scale. If you are highly motivated, and competitive, and do not shy away from tough challenges, come join our mission and become part of some of the best minds in the world to shape the future of security operations.
Your Impact
Test our Cortex Platform from System perspective including all services:
Developing, executing and analyzing infrastructure-related (DevOps and IT deliveries, License management, etc.) System E2E user flows.
Deciding and prioritizing tests to run in System environment, manually and/or automated, thus being on top of all new functionalities/integrations that are introduced in each release.
Analyzing, debugging, reporting and following up on failures and discovered issues
Working closely with automation teams, managing the defined tasks - from requirements to implementation and execution.
Working closely with QA, development and product management stakeholders.
Collaborating with functional QA engineers to enhance regression test suites, prioritize and decide on automation coverage.
Learning about security solutions and technologies
Integration with GCP Cloud Computing
Integration with other cloud services.

If you're looking for an exciting opportunity to make a significant impact and grow with a passionate team, we are the place to be.
What You Will Do:
Be a core member of a cross-functional AI innovation team, collaborating closely with software engineers, MLOps specialists, and analysts.
Design, build, and optimize end-to-end AI-driven features - from experimentation and model training to validation and deployment.
Develop production-grade code (Python and C#) to integrate advanced models and data-driven capabilities into our core products.
Continuously evaluate model performance and data quality in real-world settings, proactively driving improvements, retraining, and robust monitoring