System Engineering Intern (Summer '25)
Waltham, Massachusetts, United States
Internship Entry-level / Junior USD 40K - 54K
Evolv Technology
The leading security technology company pioneering AI-based screening to create safer experiences.Systems Engineer Intern
The Elevator Pitch
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 gaining exposure to software, manufacturing and electrical engineering concepts while taking a wholistic perspective of Express 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 realtime. 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 Express 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 9nd – August 15th
Success in the Role: What are the performance outcomes 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 2025. 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 the middle 6 weeks, 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 the last 2 weeks, 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 in a successful 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.
- Preferred majors: Computer Science, Data Science or Electrical Engineering
- Experience with analytics, machine learning, data analysis, pattern recognition
- Hands-on troubleshooting skills - for example, prior work with robotics
What is the leadership like for this role? What is the structure and culture of the team?
You will be joining the Systems Engineering Team, reporting to the Systems Engineering Team Manager. This is a great opportunity to see how a product depends on the integration of work across multiple disciplines.
The team culture is one based on building trust, collaboration, on-going development through kindness, authenticity, courage, drive, and fun!
Where is the role located?
The location of this role is based in Waltham, MA with some flexibility in being remote some days. We require our interns to be onsite at a minimum, 3 days of the work week, but 4 and ideally 5 days a week is preferred for this role. We do not provide relocation assistance at this time.
What is the pay range?
The hourly pay range for this internship position is $20-$27 an hour. Our pay ranges are determined by your current level of education.
Benefits
At Evolv, we’re on a mission to help make public spaces safer through innovative security technology. Rooted in our values of authenticity, kindness, courage, drive, and fun, we offer the opportunity to make a real impact. Our team thrives in a supportive, honest environment where creativity and collaboration are celebrated, and where we challenge the status quo to keep improving.
Evolv Technology (“Evolv”) is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. We welcome and encourage diversity in the workplace, and all employment decisions are made without regard to race, color, religion, national, social or ethnic origin, sex (including pregnancy), age, disability, HIV Status, sexual orientation, gender identity and/or expression, veteran status, or any other status protected by law in the locations where we operate. Evolv will not tolerate discrimination or harassment based on any of these characteristics.
Evolv is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. If you need a reasonable accommodation as part of the job application process, please connect with us at careers@evolvtechnology.com.
Tags: AWS Classification Computer Science Data analysis Data Analytics Engineering Lambda Machine Learning Matlab Python R R&D Robotics Security Statistics
Perks/benefits: Career development Health care Relocation support Startup environment
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