עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
מלאה
Our software department is looking for an experienced and highly motivated Software QA & Automation Engineer to join us and be part of our next generation state-of-the-art AI inference server development.
The group designs, develops, validates, and releases inference server and programming SDK software products to make AI deployment easy and cost/power[1]effective.
Responsibilities:
The Software QA & Automation Engineer is responsible for all aspects of software testing and release:
QA activities that are required for releasing high quality products to our customers.
Tight collaboration with architects and development teams
Reviewing specifications and technical design documents to provide timely and meaningful feedback.
Creating product test plans and managing their execution
Defining metrics for quality evaluation
Design and development of new automatic testing approaches for various features and products developed by us.
Consistently reviewing, analyzing, and improving test automation infrastructure and reports.
The group designs, develops, validates, and releases inference server and programming SDK software products to make AI deployment easy and cost/power[1]effective.
Responsibilities:
The Software QA & Automation Engineer is responsible for all aspects of software testing and release:
QA activities that are required for releasing high quality products to our customers.
Tight collaboration with architects and development teams
Reviewing specifications and technical design documents to provide timely and meaningful feedback.
Creating product test plans and managing their execution
Defining metrics for quality evaluation
Design and development of new automatic testing approaches for various features and products developed by us.
Consistently reviewing, analyzing, and improving test automation infrastructure and reports.
Requirements:
BSc in Computer Engineering/Computer Science/Electrical Engineering
5+ years experience in developing automation/validation products.
Experience in validation of complex systems and performance tests- Must
Formal and practical knowledge of testing methodologies
Hands-on expertise in test writing and automation
Strong experience in programming languages such as Python, Java, or JavaScript (used for writing automation infra) Must
Operating Systems Expertise Linux -Must
Proficiency in test automation tools and frameworks (e.g., Selenium, PyTest, TestNG, JUnit).
Familiarity with version control systems (e.g., Git) and CI/CD pipelines (e.g., Jenkins, GitLab, or CircleCI).
Problem-Solving and Analytical Skills
Ability to identify, analyze, and debug issues within complex systems, including AI pipelines.
Knowledge of data validation and techniques to test AI fairness, bias, and performance.
Communication and Teamwork
Strong verbal and written communication skills for collaborating with technical and non-technical stakeholders.
Advantages:
AI/ML Knowledge
Basic understanding of AI/ML concepts, such as training, inference, data preprocessing, and model evaluation.
Experience testing AI models and ensuring their reliability under diverse data inputs is a plus.
Computer vision, image, or audio processing knowledge
Experience working in AI company.
Experience with testing Cloud/data center applications.
BSc in Computer Engineering/Computer Science/Electrical Engineering
5+ years experience in developing automation/validation products.
Experience in validation of complex systems and performance tests- Must
Formal and practical knowledge of testing methodologies
Hands-on expertise in test writing and automation
Strong experience in programming languages such as Python, Java, or JavaScript (used for writing automation infra) Must
Operating Systems Expertise Linux -Must
Proficiency in test automation tools and frameworks (e.g., Selenium, PyTest, TestNG, JUnit).
Familiarity with version control systems (e.g., Git) and CI/CD pipelines (e.g., Jenkins, GitLab, or CircleCI).
Problem-Solving and Analytical Skills
Ability to identify, analyze, and debug issues within complex systems, including AI pipelines.
Knowledge of data validation and techniques to test AI fairness, bias, and performance.
Communication and Teamwork
Strong verbal and written communication skills for collaborating with technical and non-technical stakeholders.
Advantages:
AI/ML Knowledge
Basic understanding of AI/ML concepts, such as training, inference, data preprocessing, and model evaluation.
Experience testing AI models and ensuring their reliability under diverse data inputs is a plus.
Computer vision, image, or audio processing knowledge
Experience working in AI company.
Experience with testing Cloud/data center applications.
This position is open to all candidates.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
חיפה
ערב
6 חודשים
רמת גן
השמה
