Test Infrastructure & Automation Student

Chain Reaction

יקנעם
משרה קבועה
משרה מלאה

לפני 22 ימים
שלח בקשה בקלות

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.

Preferred

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).

Chain Reaction