דרושים » אבטחת איכות QA » דרוש /ה בודק /ת תוכנה למשרת סטודנט לחברת פרוסיד - טק

We are looking for a Junior Validation Engineer to test the Machine Learning systems and the logics encapsulating them.
What will you do?
Reach validation of the Computer Vision algorithms and evaluate their performance under different environmental conditions.
Write test plans.
Create automation tools.
Perform manual testing and compare versions visually (side-by-side screenshots).

LiveU is looking for a talented QA Automation Engineer! You will work closely with cutting-edge technology in a fun and dynamic environment, joining a team that develops test automation for embedded devices, cloud machines, API requests, performance testing, and integration tests.
About LiveU LiveU is driving the live video revolution, providing live video streaming for TV, mobile, online and social media. Let your audience become part of your story with high-quality and flawless live video, transmitted from anywhere in the world, using our patented bonding and video transport technology. LiveU provides a consistent bandwidth and a reliable connection, enabling you to acquire, manage, and distribute high-quality remote live broadcasts. Responsibilities
* Responsible for writing tests in Python for video quality testing for all LiveU's products
* Write/Design automation tests in Python
* Help to achieve a full transition of the manual testing environment to the automated testing environment
* Develop performance and integration tests for critical systems
* Identify, report, and track software bugs
* Work closely with development, product, project, and QA teams to ensure product quality

We are seeking a Senior Automation Engineer to join our Big Data team, where we build cutting-edge, AI-driven applications that empower the worlds largest financial institutions in the fight against financial crime.
Youll be part of a dynamic group responsible for the analytics and developer experience foundations, enabling software developers, data engineers, and data scientists to deliver scalable, high-quality analytics solutions quickly. In this role, youll ensure the quality, reliability, and performance of our intelligent cloud-based products through robust automated testing.
How will you make an impact?
Design, develop, and maintain automated tests for backend systems and data pipelines.
Implement and manage a scalable testing framework to support continuous integration and delivery.
Create test plans, and maintain detailed documentation of testing processes, results, and quality metrics.
Collaborate with developers and product managers to understand system architecture and business requirements.
Participate in requirements analysis, technical reviews, and test planning.
Identify, document, and track defects, drive resolution with development teams.
Monitor production environments, investigate anomalies, and push for timely fixes.
Ensure data health and correctness across systems.
Continuously improve QA processes, tools, and best practices.
Advocate for quality across the development lifecycle.

We're looking for a QA Engineer to join our team
What you will do:
You will have the opportunity to characterize and lead our testing strategy and lay down the foundation of our testing systems and processes.
You will be responsible for analyzing system requirements and manage the company testing activities accordingly.
You will work closely with our R&D teams to plan, write, and execute manual tests, including sanity, regression, functional, ATP, and stress testing ,integration / stability, analyze test results, find bugs and follow up during all their life cycle.

We are looking for a Senior AI Software Engineer to join our R&D group and help design and implement our next-generation AI-driven data and intelligence platform.
This role is ideal for a senior engineer who thrives at the intersection of software engineering, data pipelines, and applied AI someone who can bridge solid backend foundations with practical experience in modern AI systems.
Youll lead efforts to integrate and operationalize existing open-source and commercial AI models, evaluate their performance, and optimize their cost and accuracy in production environments.
What Youll Do:
Design and build scalable data pipelines to gather, prepare, and serve data for AI workflows including evaluation, fine-tuning, and retrieval pipelines.
Integrate and operationalize LLMs and multimodal models, focusing on applying and adapting existing open-source or commercial models rather than building from scratch.
Conduct error analysis, model evaluation, and cost/performance optimization to ensure production readiness and efficiency.
Develop and maintain backend services (primarily in Java and Python) that power AI-driven features and automate data processing.
Implement retrieval-augmented generation (RAG) and information retrieval pipelines to enhance system intelligence.
Apply prompt engineering, validation, and A/B testing to improve system output quality.
Collaborate with product and engineering teams to turn AI capabilities into end-user features with measurable impact.
Stay current with emerging AI trends and tools, driving innovation and adoption across the company.

We are seeking a highly skilled and motivated Team Leader Python Automation Infrastructure and testing to join our R&D organization. This role is central to building and leading our automation Infrastructure and testing, ensuring robust test coverage across SW components, integration, system, and end-to-end levels.
The successful candidate will provide both technical leadership and hands-on contributionmentoring a team of automation engineers, establishing best practices, writing automated tests, and driving adoption of modern automation tools based Python and CI/CD methodologies. While the primary focus is integration automation, knowledge of RF systems/Cyber and DevOps is a strong plus.
Key Responsibilities:
Bachelor's degree in Computer Science or related field.
Lead and mentor a team of automation engineers, setting technical direction, assigning tasks, and supporting professional growth.
Architect, implement, and maintain scalable automation frameworks using Python and Pytest.
Write, review, and optimize unit, integration, and regression test cases to ensure high-quality software delivery.
Oversee automation of system-level and end-to-end testing, including API and UI layers (Selenium preferred).
Design and maintain CI/CD pipelines with Jenkins, Docker, and Git, ensuring automated testing is integrated into every stage of development.
Collaborate closely with software developers, RF, QA, DevOps, and hardware teams to embed testing and automation best practices into the product lifecycle.
Define, track, and report test metrics such as coverage, execution reliability, and defect detection effectiveness.
Promote a culture of quality and continuous improvement, introducing new tools and practices to strengthen automation.
Act as a technical expert, conducting code reviews and ensuring adherence to coding/testing standards.

we are a leader in high-scale disaggregated networking solutions. Founded in 2015, our company modernizes the way service providers, cloud providers and hyperscalers build networks. Supporting the largest network in the world, more than half of AT&Ts backbone traffic is running on our companys Network Cloud open disaggregated architecture. Raising $587 million in three funding rounds, we are disrupting the networking market from high-scale architecture to AI platforms, and is bringing onboard the most talented people. We are seeking people that want to make an impact on the worlds leading communication networks and are experienced in networking architecture or AI infrastructure solutions.
Job Summary:
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.