Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.
Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.
We are offering a research-driven security internship for students who enjoy solving complex technical problems and want to gain hands-on experience in cryptography, high-performance computing, and hardware security.
During this internship, you will work closely with experienced researchers and engineers on real security research topics, combining theoretical foundations with practical experimentation and development. The focus is on understanding how cryptographic implementations behave under stress — and how they can be improved.
On a day-to-day basis, you will write code, run experiments, discuss ideas with your mentor, and turn technical findings into clear results. You don’t need to be an expert in everything on day one — strong fundamentals, curiosity, and motivation to learn matter most.
The internship can be completed as a minimum 3-month placement or extended into a 6-month thesis project, depending on academic requirements.
What we offer:
Paid internship, with travel allowance
Work laptop (for interns based in the Netherlands)
Access to Keysight equipment, depending on the topic
Lunch at work
You might enjoy this internship if you like figuring out how systems work under the hood, enjoy experimenting with code and learning by doing, and prefer open-ended technical challenges over predefined instructions.
Responsibilities
This thesis will investigate the use of large language models (LLMs) to automatically produce fuzzing seed corpora for standalone executables. The goal is to evaluate how LLM-derived and semantic-aware input generation affect fuzzing effectiveness, coverage, and input diversity compared to traditional mutation-based approaches. The project could also analyze limitations such as semantic drift and diversity collapse in LLM-generated inputs. The outcome will include a prototype/PoC implementation and evaluation on actual binaries
Qualifications
General Requirements
Currently enrolled as a Bachelor, Master, or PhD student
Ability to work independently while collaborating effectively within a team
Good command of English, written and spoken
Availability for at least 3 months, minimum 4 days per week
Eligibility to work in the Netherlands / EU for the duration of the internship
Specific Requirements
Systems programming and binary analysis (e.g., C/C++) skills
Experience with LLM prompting and evaluation techniques
- Sold background on Software security and fuzzing concepts
- Scripting and automationskills
- Knowledge on LLM prompting and evaluation techniques
- Experience with Linux environment
Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***
