Jobs · Quality Assurance · Massachusetts

Software QA Tester Intern/Co-op (Fall 2026)

Charles River Analytics · Cambridge, MA · 2 wk ago
Quality AssuranceInternship

About the role

As a key member of our autonomy and robotics team, you will be responsible for developing advanced predictive maintenance algorithms that enhance the reliability and efficiency of marine systems. Your work will involve analyzing sensor data, designing predictive models, and collaborating with cross-functional teams to integrate these models into existing systems.

Responsibilities

  • Develop and implement predictive maintenance algorithms using machine learning techniques.
  • Analyze sensor data from marine systems to identify patterns and predict failures.
  • Collaborate with software engineers and system integrators to integrate predictive models into operational systems.
  • Contribute to the design and testing of new marine systems to ensure they meet predictive maintenance requirements.
  • Stay updated on the latest advancements in predictive maintenance and machine learning.

Requirements

  • Bachelor's degree in Electrical Engineering, Computer Science, or a related field.
  • Experience with machine learning and data analysis.
  • Strong programming skills in Python or similar languages.
  • Knowledge of marine systems and predictive maintenance principles.
  • Excellent problem-solving and analytical skills.

Qualifications

  • Experience with marine systems and predictive maintenance.
  • Ability to work independently and as part of a team.
  • Strong communication and interpersonal skills.

Skills

  • Machine Learning
  • Data Analysis
  • Python Programming
  • Marine Systems Knowledge
  • Problem Solving

Benefits

  • Comprehensive health and welfare benefits
  • Flexible work schedule
  • Professional development opportunities
  • Competitive compensation package

Pay

  • $80,000 - $120,000 annually

Schedule

  • Full-time
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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