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Senior Cyber Software Engineer at Draper
Cambridge, United States


Job Descrption

Overview

Draper is an independent, nonprofit research and development company headquartered in Cambridge, MA. The 2,000+ employees of Draper tackle important national challenges with a promise of delivering successful and usable solutions. From military defense and space exploration to biomedical engineering, lives often depend on the solutions we provide. Our multidisciplinary teams of engineers and scientists work in a collaborative environment that inspires the cross-fertilization of ideas necessary for true innovation. For more information about Draper, visit www.draper.com.

 

Our work is very important to us, but so is our life outside of work. Draper supports many programs to improve work-life balance including workplace flexibility, employee clubs ranging from photography to yoga, health and finance workshops, off site social events and discounts to local museums and cultural activities. If this specific job opportunity and the chance to work at a nationally renowned R&D innovation company appeals to you, apply now www.draper.com/careers.

 

 

Equal Employment Opportunity

Draper is committed to creating a diverse environment and is proud to be an affirmative action and equal opportunity employer.   We understand the value of diversity and its impact on a high-performance culture.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.   

 

Draper is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, please contact hr@draper.com.

Responsibilities

Draper is actively seeking candidates to support current and future cybersecurity, cyber tool development, and machine learning projects across a variety of domains supporting the United States of America's national interest. You’ll be a part of a multi-disciplinary team building cross-mission solutions in cyber software development, such as reverse engineering automation, cyber forensic attribution tooling, fuzzing and emulation harness development, binary diversification, and more. To help our sponsors modernize their cyber solutions, you will also perform research in machine learning, including adversarial machine learning, algorithmic fairness, and model interpretability. Our cyber teams use a wide array of technologies and skills such as embedded systems, microelectronics, threat intelligence, fuzzing, binary analysis, and network operations. As a part of the Draper Cyber Software and Machine Learning team, you’ll have endless opportunities to learn from other great engineers, take on new and exciting challenges, and be a part of meaningful work.

Qualifications

Required Qualifications:   

  • Bachelor's degree 
  • A total of 5+ years of relevant experience in developing software solutions within the context of cyber security
  • Experience using reverse engineering tools such as Ghidra, Ida, Radare, Binary Ninja, Angr, and debuggers for both static and dynamic analysis 
  • Proficient in programming using: Python, C, C++
  • Familiarity with computer architecture, assembly languages, and operating systems 
  • Working knowledge of at least two of the following: x86, ARM, MIPS, PowerPC 
  • Familiarity with vulnerability analysis and capability development 
  • 3+ years of experience with at least 2 of the following cyber areas: 
    • Threat intelligence and threat informed defense 
    • Cyber network operations 
    • Vulnerability analysis of embedded systems 
    • Firmware and binary reverse engineering 
    • Malware analysis 
  • Ability to communicate clearly and concisely 
  • Excel in working within team settings 

Preferred Qualifications:  

  • Knowledge of compiler internals, LLVM, and intermediate representation 
  • Experience with applying machine learning professionally. This includes but is not limited to: 
    • Experience deploying models into the cloud with tooling like Docker & Kubernetes 
    • Proficient in using libraries such as PyTorch and Numpy 
    • Experience in data extraction, analysis, and communication of findings 
    • Experience performing hyperparameter optimization using algorithms such as Grid Search 
  • Past participation in capture the flag competitions 
  • Familiarity with MITRE ATT&CK 
  • Experience working with Government Sponsors, particularly the DoD and the IC 
  • TS/SCI clearance 

 

Security Requirement: 

   

  • Applicants selected for this position will be required to obtain and maintain a government security clearance.

 


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