Careers

- Creating and executing tests for in-depth validation of the company’s product roadmap from requirement to deployment.
- Covering both algorithmic validation aspects of the product as well as system validation.
- Meeting with the software/product design quality assurance parameters.
- Troubleshooting quality issues and modifying test procedures.
- Conducting analysis checks on product specifications.
- Ensuring the successful deployment of the product into the market.

- BSc/BA in Computer Science or a related field.
- Strong team player.

- 3+ years of experience in product testing.
- Experience in a variety of development and testing methodologies and tools.

Good to have:
- Experience with CI/CD tools and practices.
- Experience in SW design and development tools (e.g. git and Jira).

- Manage a team of automation and manual QA engineers that will be responsible for in-depth validation of the company’s product roadmap from requirement to deployment.
- Cover both algorithmic validation aspects of the products as well as system validation.
- Strong organizational and time-management skills.
- Strong team player.  
- Meeting with the software/product designers to determine quality assurance parameters.
- Leading the QA team in designing QA test procedures.  
- Implementing testing procedures and overseeing the QA process.  
- Troubleshooting quality issues and modifying test procedures.  
- Conducting analysis checks on product specifications.
- Ensuring the successful deployment of products into the market.

BSc/BA in Computer Science or a related field.
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- 3+ years of experience in product testing.
- 3+ years of experience in software development with Python and C++.
- 3+ years of experience in managing, training and coaching a team of engineers.
- Experience in a variety of development and testing methodologies and tools.
- Experience with building tests and environments from scratch.

Good to have:
- Experience with CI/CD tools and practices.
- Experience in SW design and development tools (e.g. git and Jira).
- Experience in deep learning frameworks.

- Algorithm research and development activities from exploration phase to production quality.
- Explore new and creative approaches to challenging problems.  
- Develop tools and techniques to extract quasi-periodic time-based signals in the presence of large scale and in-band, random and systematic noises.
- Work closely with all  R&D teams/disciplines  and contributing to overall product development.

MSc./Ph.D. in Mathematics, EE, Signal Processing, or Physics.

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- Experience in algorithm research & development from exploration/research  phase to production Quality.
- In-depth knowledge in: DSP, information theory, deep learning & machine learning, source separation technique.
- Highly skilled in either Python or MATLAB.
- Results oriented.
- High enthusiasm and dedication.
- Ability to work independently and contribute to a team.

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