Test Infrastructure & Automation Student

Chain Reaction designs and builds hardware that fuels disruptive blockchain technologies by accelerating compute performance. Our world-class teams are transforming the future of data, creating the infrastructure that will power the next generation of secure, scalable, green computing. The main bottleneck in scaling cutting-edge solutions in privacy tech, data analysis, and real-time computing is acceleration – existing hardware cannot keep up with data processing needs. Chain Reaction’s products reshape how data is processed and used on a global scale, and we’re looking for the brightest people to join us.

The System VnV team ensures our complex hardware-software products meet their intended requirements and function correctly before release. Our work plays a crucial role in ensuring quality assurance and mitigating risk with a strong focus on automation, data-driven insights, and cross-functional collaboration with development and hardware teams.

We are looking for a motivated and curious student to support our infrastructure and automation efforts. You’ll help develop testing tools, integrate lab test equipment, and explore AI-based insights for smarter test analysis.

You'll be exposed to advanced lab setups, real-time testing systems, and tools that support product release decisions, all while being part of a high-performance engineering culture.

This is an ideal role for a student studying engineering or computer science, eager to gain real-world experience in system validation and automation.

Responsibilities

• Design, develop, and maintain automated test infrastructure.
• Develop tools to simulate, validate, and verify complex hardware/software systems.
• Develop software interfaces to control and monitor test equipment (e.g., oscilloscopes, power supplies, signal generators, protocol analyzers).
• Integrate AI/ML models for test optimization, log analysis, anomaly detection, root cause identification, and system insight.
• Create dashboards, reports, and intelligent insights from test data and logs.
  
  

• BSc student in Electrical Engineering, Computer Engineering, or a related field with at least 3 semesters remaining.
• Average grade of 85+ from a recognized university (a resume without a grades sheet will not be considered)
• Availability for 3 working days per week.
• Interest in test engineering, automation, and system-level validation.
  
  

• Familiarity with AI/ML tools (e.g., scikit-learn, PyTorch) or log analysis techniques.
• Experience developing automated tests (Python/C++) in multidisciplinary projects involving both hardware and software.
• Basic understanding of system validation methodologies and tools.
• Experience in test equipment (e.g., oscilloscope, power analyzer, logic analyzer).