Introduction
We are seeking a highly skilled and detail-oriented Software QA Engineer to join our dynamic team at EdgeCortix. In this role, you will play a critical part in ensuring the quality and reliability of our AI/ML software and hardware products through comprehensive testing, automation, and infrastructure maintenance. This is an excellent opportunity to contribute to cutting-edge AI innovation in a rapidly growing deep-tech startup that is redefining edge computing worldwide.
About Edgecortix
At Edgecortix we are a deep-tech startup revolutionizing edge computing with artificial intelligence and novel high-efficiency silicon-on-chip design. Originating from multiple years of research, our unique AI hardware & software co-exploration engine and Dynamic Neural Accelerator TM AI processor IP are geared towards positively disrupting the rapidly growing artificial intelligence edge hardware space and bringing the power of AI and machine learning to all kinds of devices.
The Team
As a team, we are working to define and solve the hardest problems in AI including computer vision, speech, and natural language, geared towards real-time capabilities on small to medium-form factor devices. We originated out of multiple years of research, as such at our core we value learning, intellectual curiosity, and self-starters. We have the ambitious goal of enabling cloud-level performance with significantly better energy efficiency for AI inference at the edge.
Your Role and Responsibilities
- 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 cyc
Preferred Qualifications
- Bachelor's 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
- 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)
