Embedded Automation & QA Engineer

Job highlights

• Bachelors in Computer Engineering,Computer Science,and / or Electrical Engineering .

• and other essential software & QA infrastructure . Keep up with the changes in requirements and technologies adopted by customers and product development teams (new AI frameworks,models,tools,software,. )

• Experienced(2+ years) and proficient in Python scripting and Python packages .

• Develop, improve, and execute test cases and test automation for qualifying software releases and our AI/ML IP

• Troubleshoot, root cause, and report software / hardware / infrastructure issues

• Collaborate with other function teams to ensure a deep understanding of the requirements, process, product, features, and system functionality

• Create and review test reports, problems, and product documentation artifacts

• Monitor and maintain the server infrastructure, hardware reference boards, tools, Jenkins pipelines, ... and other essential software & QA infrastructure

• Keep up with the changes in requirements and technologies adopted by customers and product development teams (new AI frameworks, models, tools, software, ... )

• Team development, leadership and cross-training activities

Minimum Qualifications

• 5-10 years of experience in testing, test automation development, and working with test frameworks
• Experienced(2+ years) and proficient in Python scripting and Python packages
• Exposure to Embedded software/hardware product test cycles
• Deep understanding of software development and test processes and management practices
• Experience in working with Linux server infrastructure, Dockers/Kubernetes, handling sensitive hardware equipment/reference boards and tools, and ESD practices
• Experienced in working with GIT, Jenkins pipeline development with Groovy, software release cycle
• Preferred Qualifications
• Bachelors in Computer Engineering, Computer Science, and/or Electrical Engineering
• Knowledge of C, C++, Ruby, Shell scripting, ... is a plus
• Exposure into AI/ML model development, training & inference is highly desirable. Understanding the basics of Deep Learning, Tensorflow, Keras, or Pytorch based AI model development
• Experience working in an Agile environment and collaborating with multidisciplinary teams across different time zones
• Attitude to pursue problems, troubleshoot in different ways, and bring them to resolution
• Experience in creating test reports and data visualization with tools such as GrafanaMake a difference: you will have the opportunity to join a well-funded fabless AI semiconductor startup that is disrupting the AI software and hardware co-design space. Be an integral part of its growth and momentum.
• Benefits and Perks
• What s in it for you
• Highly competitive salary and stock options
• Flex work time and ability to work in Hybrid model
• Support for obtaining visa and relocation support (in the case of Japan)