Evolv Technologies Inc.-posted 3 days ago
$20 - $27/Yr
Intern
Onsite • Waltham, MA

Do you enjoy solving complex technical challenges and building automation that makes testing smarter, faster, and more reliable? Are you interested in working on real-world AI and machine learning systems that operate in safety-critical environments? Evolv is seeking an SQA Automation Intern to join our Software Quality Assurance team. In this 10-week internship, you’ll design and build embedded hardware and Python-based automation tools that directly support functional and stress testing of Evolv’s Express weapons detection system. You’ll work across the full engineering lifecycle—from requirements gathering and design to implementation, CI/CD integration, and final presentation—while collaborating closely with Quality, Software, Hardware, and Systems Engineering teams. This role offers hands-on ownership of a production-impacting automation solution and the opportunity to contribute meaningfully to Evolv’s mission of making public spaces safer.

  • Develop and enhance automated test solutions using Python, C/C++, and related technologies
  • Work with AWS services, databases, and test infrastructure to support automation workflows
  • Navigate and contribute to an existing automation codebase and test hardware environment
  • Collect requirements, prototype solutions, and validate functionality through testing
  • Package and deliver a production-ready automated test harness (hardware + software)
  • Participate actively in team meetings and technical discussions
  • Build strong working relationships across QA and Engineering teams
  • Progress from onboarding contributor to recognized SQA automation team member
  • Be pursuing a degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field
  • Have experience or coursework involving Python, C/C++, or automation development
  • Demonstrate strong problem-solving skills and curiosity about how systems work
  • Be comfortable learning new tools, codebases, and technical concepts
  • Work well both independently and collaboratively
  • Experience with test automation frameworks, embedded systems, or hardware-software integration
  • Familiarity with AWS, databases, or CI/CD pipelines
  • Interest in AI/ML systems, real-time systems, or quality engineering
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