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At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-centric technology, representing the pinnacle of computer vision, machine learning, and generative AI within the automotive sector. With over $380M in funding and strategic partnerships with industry giants such as Toyota, Amazon, General Motors, Volvo, and Hertz, our technology is utilized in manufacturing plants, dealerships, wholesale auctions, delivery fleets, seaports, and more. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity, encourages teamwork, and strives for excellence.
We are looking for a driven, systems-minded Release Engineer to join our AI-Ops team. In this role, you will be the execution layer of our delivery pipeline—the technical gatekeeper who owns the safe, predictable deployment of software and AI models to global edge and cloud systems. You will balance high-speed deployment velocity with rock-solid operational stability. But you won't just be deploying code; you'll be acting as an internal project manager, driving our organizational roadmap by building Agentic AI tools and automating processes to scale our delivery capabilities continuously.
A day in the life and how you’ll make an impact:
* Act as the technical gatekeeper, validating and transitioning versions through strict release gates. Enforce rigorous governance and ensure strict "Definition of Done" criteria are met.
* Lead risk-mitigated rollouts across diverse global hardware environments.
* Monitor real-time deployment performance, Quality of Service (QoS), and algorithmic accuracy, making decisive, crisis-resilient calls to proceed, pause, or rollback to prevent regressions.
* Define and execute comprehensive test plans that verify cross-team dependencies. Validate that new versions meet detection accuracy requirements without degrading infrastructure.
* Triage complex production failures. Look beyond immediate issues to identify root causes using system metrics, logs, and container states, delivering actionable evidence to R&D.
* Build and integrate Agentic AI and LLM-based tools to accelerate log analysis, risk assessment, and deployment troubleshooting.
* Architect automated workflows to eliminate manual overhead and enhance system observability with robust monitors and dashboards.

We are looking for a Software Automation Engineer to join our QA team and to take part in the testing process from planning to execution.
Responsibilities:
Responsible for QA processes, testing and release to production of multiple SaaS products.
Build the test plan for the products.
Identify the risks and appropriate test coverage to validate new features as well as regression and develop test plans and cases.
Lead the test execution and preparation for release.
Execute test cases, manually or in an automated fashion, capture and analyze the results, document issues and prepare test reports.
Work with the R&D and Product to deliver high-quality tested SaaS products.
Write test automation for APIs, UI and stress-testing, as an integrated member of an agile R&D team, building a robust application.
Take responsibility for the quality delivery of product releases.
Participate in defining and optimizing the R&D work processes.

Execute comprehensive testing of AI datacenter networking solutions, focusing on SONiC-based systems, smart NIC integration, and high-performance networking for AI workloads.
Key Responsibilities:
Design large scale testing topologies with GPU/Traffic Generators and execute test cases for SONiC/our company network operating system functionality.
Validate smart NIC performance and integration with SONiC datapath
Perform functional, performance, and stress testing of AI networking scenarios
Develop automated test scripts for regression testing and continuous validation
Execute interoperability testing between different hardware vendors and software versions
Validate RDMA, high-speed Ethernet performance for AI workloads
Test failover scenarios and network resilience under various failure conditions
Document test results, file detailed bug reports, and track issue resolution
Collaborate with development teams to reproduce and isolate defects
Participate in customer proof-of-concept testing and field issue reproduction.

We are looking for a DevTest Group Manager with strong expertise in AI-driven testing and a proven ability to lead teams through the adoption of AI tools and methodologies. This role combines leadership, quality engineering, and innovation, with a focus on transforming traditional testing into a scalable, AI-enabled practice. You will lead multiple DevTest teams, drive strategy, and implement AI-based solutions to significantly improve efficiency, productivity, and quality across the organization.
Key Responsibilities
Lead and manage multiple DevTest teams, including team leads and engineers
Define and execute the AI adoption strategy within DevTest
Drive the transition from manual/automation testing to AI-assisted and AI-driven testing
Identify and implement AI-based testing solutions (e.g., test generation, self-healing tests, intelligent execution)
Build and scale AI-enabled frameworks and tools for E2E testing
Collaborate with R&D and Product managers to integrate AI into the development lifecycle
Ensure high standards of quality, coverage, and reliability across all testing activities
Analyze metrics and KPIs to continuously improve DevTest efficiency and effectiveness
Mentor and develop team members in both technical (with extra attention to AI capabilities) and managerial path
Promote a culture of innovation, learning, and continuous improvement
What Success Looks Like
DevTest teams effectively using AI in daily workflows
Significant improvement in testing efficiency/quality and productivity
Increased test coverage and faster feedback cycles
Successful rollout of AI tools and frameworks across teams
Teams upskilled and confident in working with AI.

We are looking for a Test Automation Engineer to join our Product Engineering Team. In this role, you will be responsible for designing and implementing automated test programs for hardware validation and production testing. You will work closely with hardware engineers to define test strategies, ensure seamless SW-HW integration, and optimize test environments to improve efficiency and reliability.
Key Responsibilities
Develop and maintain automated test programs for hardware validation and production testing.
Collaborate with hardware engineers to define, implement, and stabilize automated test environments.
Enable HW operation through software-driven testing methodologies.
Debug SW-HW integration issues and optimize test sequences for robustness and efficiency.
Maintain test documentation, analyze test results, and contribute to yield improvement efforts.

We are looking for a highly motivated and experienced Software QA Engineer to join our DPU Firmware QA Team. Quality is an integral aspect of our products, and as a Firmware QA Engineer you will have a significant impact in helping us to deliver our products to customers in a fast paced and constantly evolving environment. You will bring your upbeat personality with excellent communication skills, attention to detail, and real passion for a positive user experience. The candidate will take part in wide areas of Software testing, systems testing, networking and automation in Linux environment.
What you'll be doing:
Design, Develop and Execute tests (manual and automatic).
Learn new networking standards, features and protocols and improve QA coverage
Participate in reviews and provide feedback on product feature requirements, specifications, and technical design documents
Collaborate with various team including project management, hardware, and software developers, provide technical analysis of bugs
Execute tests in different scopes: regression, performance, functional, security; report the progress of testing and provide summary reports of testing activity
Develop/Enhance Tools, applications, or processes to improve the quality and test efficiency
Define and build setups topologies for appropriate product coverage.

We are looking for a customer-oriented and patient QA Engineer to join our fast-growing QA team. Reporting to our QA Team Leader, you will be supporting the team on all aspects of the quality of the development project.
Responsibilities:
Design, create, and execute manual test plans
Work closely with the developers and product team
Understanding the business and technical requirements of existing and new products
Conduct root cause analysis of identified bugs, providing required information to understand, replicate, and resolve them
Manage bug tracking and resolution processes so that a consistent and documented process is used and followed
Deliver a high-quality product within defined timelines
Assisting in overseeing problematic areas, underestimated risks, scopes, and bottlenecks.

We are looking for a Software Automation QA Engineer to join our Storage team. This position will be part of the QA team while the main goal is to test the Storage and Networking area, which enables our products to meet the industry-leading benchmarks of efficiency and quality. The ideal candidate will engage in testing of Storage and Networking drivers, be able to learn new features, execute manual and automated tests.
What you'll be doing:
Review arch design and requirements for new features
Design and execute tests for the new features, as part of software GA releases
Report bugs found during execution, assist with reproduction and debugs to understand root cause, verify bug fixes provided by the R&D team, raise if not fixed
Execute tests in different scopes: regression, performance, functional, security. report the progress of testing and provide summary reports of testing activity
Define and build setups topologies for appropriate product coverage
Writing automation infrastructure in multiple frameworks (Python, Perl). Developing sophisticated, stable, automation frameworks to increase efficiency, re-usability, and flexibility. Enhancements & maintenance of each framework.
Schedule test runs, publish reports and analysis with detailed and specific bug reports for failures.

We are seeking an QA engineer to join our SW/FW testing team. This position will be part of our growing team, which enables our products to meet the industry-leading benchmarks of efficiency and quality. We develop a collaborative and inclusive work environment, where ideas are shared and innovation is encouraged.
As a QA Engineer in this group, you will be immersed in the latest advancements and actively contribute to developing world-class products. Your efforts will directly impact the performance and quality of our offerings, ensuring they consistently meet industry-leading standards. We are looking for an ideal candidate with proven QA experience who will be actively involved in testing industry-leading features in the Networking sector, can acquire new feature knowledge, conduct both manual and automated tests, and contribute to the development of automation systems. The ideal candidate should bring a robust understanding for SW release cycle and the QA part in it.
What you'll be doing:
Review arch design and requirements documents for new features introduced in several domains like NVLINK Fusion, VR, GPUs and more.
Design and execute comprehensive test plans for both initial releases and ongoing firmware updates.
Develop and maintain automated frameworks expanding existing infrastructure with new capabilities to improve coverage, stability, and efficiency.
Report bugs found during execution, assist with reproduction and debugs to understand root cause, verify bug fixes provided by R&D team, and raise if not fixed.
Conduct tests in various areas, including regression, performance, functional, and security. Keep track of testing progress and generate summary reports of testing activities.
Work multi-functionally with teams such as R&D, product marketing, and system verification to ensure high-quality, production-ready deliverables.
Define and build setups topologies for appropriate product coverage.

We are looking for a QA Engineer to join our Firmware tools testing team. This position will be part of the QA team while the main goal is to test the Firmware tools, which enables our products to meet the industry leading benchmarks of efficiency and quality. You will have the unique opportunity to work hands-on with our latest and next-generation products and cutting-edge technologies, gaining first-hand experience with innovations that are shaping the future of high-performance computing and AI infrastructure.
The ideal candidate will engage in testing of FW industry-leading features, be able to learn new features, implement manual and automated tests.
What you'll be doing:
Review arch design and requirements for new features introduced in the HCA FW.
Design, develop, and create tests for the new features, as part of FW GA releases or update releases.
Report bugs found during execution, assist with reproduction and debugs to understand root cause, verify bug fixes provided by R&D team, raise if not fixed.
Execute tests in different scopes: regression, performance, functional, security; report the progress of testing and provide summary reports of testing activity.
Define and build setups topologies for appropriate product coverage.