Software Engineering Intern contributing to Tonal’s product roadmap while developing AI - assisted automation solutions. Collaborating with engineering teams to leverage new technologies and boost productivity.
About the role
- Junior Software Engineer developing automation systems for Nymi's biometric authentication technology. Supporting automation with AI-powered tools and maintaining existing test frameworks in a hybrid work environment.
Responsibilities
- Design, build, and maintain automated test frameworks and infrastructure for both software and hardware-based products.
- Improve the reliability and maintainability of our existing test automation system.
- Develop automated test suites that replace manual workflows and accelerate development cycles.
- Collaborate closely with Quality and Engineering Teams to understand product requirements and testing needs.
- Work with AI--powered tools to generate, refine, and implement automated tests, and help integrate AI into our broader automation strategy.
- Diagnose, debug, and fix issues in the automation environment — including flaky tests, infrastructure failures, and integration problems.
- Contribute to a culture of quality by advocating for testability, automation, and engineering best practices.
- Participate in code reviews and learn from senior engineers while taking ownership of your own projects.
- Occasionally visit the office for hands-on testing of embedded systems-, infrastructure setup, or team collaboration sessions.
Requirements
- A degree—or equivalent experience—in Computer Science, Engineering, or a related field.
- Strong programming skills, especially in Python (highly preferred).
- Experience with C, C# or Rust is a plus.
- Hands-on experience with various aspects of automated testing (unit, integration, system-, CI/CD pipelines).
- Practical experience with software engineering fundamentals: data structures, algorithms, version control, debugging, and clean code practices.
- Interest in test automation, quality engineering, and building reliable systems.
- Desire to master AI--assisted development and a willingness to learn how to apply AI tools effectively in engineering workflows.
- Ability and willingness to dive into unfamiliar codebases, tools, and hardware setups.
- A self-starter- mindset — someone who takes initiative, asks good questions, and enjoys solving problems.
- Experience with hardware, embedded systems, or device-level- testing, a plus.
Benefits
- N/A
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