Systems Engineer Intern (Summer 26')

Evolv Technologies Inc.Waltham, MA
19d$20 - $27Onsite

About The Position

Do you love solving puzzles, writing data analytics algorithms and solving problems in the larger context of a complete system? The Systems Engineering intern joins a cross-functional team thereby gaining exposure to software, manufacturing and electrical engineering concepts while taking a wholistic perspective of the Express scanner operation. This internship project concentrates on the magnetic field (Hf) data at the heart of Express, and the Runtime Diagnostics (RTD) tests that monitor Hf data health continuously in real-time. Whether the root cause is internal or external, we want Express to self-report problems before the customer makes a service call. At Evolv, the Systems Engineering team is responsible for issues that escalate to R&D from the field. We identify systemic root causes and drive hardware and software quality improvements. In so doing, we help make sure Evolv has the tools, analytics and diagnostics required to support Express to exceed customers’ expectations. Adding to and improving the RTD test suite is a key part of this mission. This internship is a 10-week program: June 8th – August 14th Success in the Role: What are performance outcomes over the 10 weeks you will work toward completing? The System Engineering intern will create an important improvement to the suite of the RTD tests based on the state of the RTD tests in June 2026. Examples of problems detected by existing RTD tests are: magnet field (Hf) interference, faulty sensor components and errors in the data signal chain. Because Evolv is continuously improving the quality and sophistication of the RTD test suite, project specifics will be determined closer to the start, however the project will align with one or more of the following themes: Implement new algorithms (tests) to detect errors in the magnetic field data Improve or rewrite existing test(s) Extract and analyze statistics from data uploaded to S3 when RTD tests fail, to better understand and improve test limits Identify error/warning trends over time, for example warnings that repeat at some rate over days or months In the first 2 weeks, you will: Become an integrated member of the team and participate in all regular meetings Complete a deep dive training on Express as a system Come up to speed on RTD and co-define the tests and improvements to be completed Begin implementation In weeks 3-8, you will: Collect data to support test development Finish implementing end-to-end RTD tests and/or test framework(s) Develop unit test case(s) In weeks 9-10, you will: Prove efficacy of test(s) Do a final presentation describing your work The Work: What type of work will you be doing? What assignments, requirements, or skills will you be performing on a regular basis? Perhaps the most important qualities of a successful systems engineering intern are: creativity, initiative, curiosity and enthusiasm. We look for students who can see the big picture and suggest solutions not just to the stated task but also to the underlying problem that needs to be solved. Tests may leverage FFTs, machine learning or other classification techniques depending on the test. The emphasis is on software and data analytics, but some understanding of the hardware that generates the data is also helpful. One or more of the following skills will be important for the Systems Engineering RTD project: Matlab C++ Python AWS services (S3, lambda and others) This internship can be tailored to the skillset and interests of the successful candidate; mentorship will be offered accordingly.

Requirements

  • creativity
  • initiative
  • curiosity
  • enthusiasm
  • Matlab
  • C++
  • Python
  • AWS services (S3, lambda and others)

Nice To Haves

  • Experience with analytics, machine learning, data analysis, pattern recognition
  • Hands-on troubleshooting skills - for example, prior work with robotics

Responsibilities

  • Implement new algorithms (tests) to detect errors in the magnetic field data
  • Improve or rewrite existing test(s)
  • Extract and analyze statistics from data uploaded to S3 when RTD tests fail, to better understand and improve test limits
  • Identify error/warning trends over time, for example warnings that repeat at some rate over days or months
  • Collect data to support test development
  • Finish implementing end-to-end RTD tests and/or test framework(s)
  • Develop unit test case(s)
  • Prove efficacy of test(s)
  • Do a final presentation describing your work
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