Technical Internship: Differentiable Rendering - Military veterans preferred

Kellogg Brown & Root (


  full-time   employee

Ann Arbor
United States


Technical Internship: Differentiable Rendering

KBR is seeking an intelligent, creative self-starter graduate intern for work on an AI/ML project. Will also consider undergraduate interns transitioning into junior or senior year. A successful candidate will be in an Engineering course of study. A successful candidate will have experience with Machine Learning Algorithms such as convolutional neural networks and a strong linear algebra background. The candidate will be provided with hands-on experience on technically oriented projects.

KBR is a leading provider of high-end engineering, intelligence, and advanced technology solutions that enhance and protect the security of our nation and the world. Our Special Programs team conducts sponsored Research and Development to advance our nation’s capabilities in support of Intelligence, Surveillance and Reconnaissance (ISR) missions. KBR’s Ann Arbor site offers great opportunities within a rapidly growing organization. We seek partners who are similarly driven by a passion to solve difficult technical problems and enable our customers’ successes while challenged by increasingly complex environments.

The Objectives of this Internship Project include the following:

  • Implement a differentiable renderer that models how changes in 3D object shape impact range measurements (1D projects of target shape) of a target
  • Use the differentiable renderer and machine learning techniques to reconstruct 3D target shape from range measurements of the target taken at different angles.
  • Perform 3D ISAR Imaging using differentiable rendering framework.

Requirements / Selection Criteria:

  • Must be working towards a technical degree in STEM
  • Emphasis on students with coursework in the areas of: Electrical Engineering, Software Engineering, Computer Engineering, Physics, Applied Math.
  • Experience with Machine Learning Algorithm such as Convolutional neural networks.
  • Strong Linear Algebra background
  • Familiarity with statistical signal processing fundamentals (Fourier transforms, singular vales)

Preferred Criteria:

  • Familiarity with differentiable rendering


In compliance with the U.S. federal government’s vaccine mandate, only candidates who will be fully vaccinated for COVID-19 by December 8, 2021 or who have a reasonable accommodation or approved medical exception will be considered for this position.

KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.

KBR — Delivering Solutions, Changing the World.

KBR brings together the best and brightest to deliver science, technology and engineering solutions that help governments and companies around the world accomplish their most critical missions and objectives.

In everything we do, we are guided by our ONE KBR Values:

  • We Value Our People – We create diverse, inclusive environments in which each person can feel safe, respected and valued, and where everyone has opportunities to grow and reach their full potential.
  • We Deliver – We are uncompromising in our commitment to deliver innovative, high-quality, technology-led solutions for our customers and exceptional, sustainable value for all our stakeholders.
  • We Are People of Integrity – We value honesty, trust, courage, fairness, prudence and tenacity. We believe doing what’s right for the planet, the communities where we work, and our people is good for business.
  • We Empower – We empower our people with a shared purpose, the right tools and the supportive culture they need to be proactive decision-makers, to be adaptive to change, and to succeed.
  • We Are a Team of Teams – We have a will to succeed, but we value the achievements of our team of teams over individual accomplishments. Our collective focus makes us a better, stronger, more effective company.

We have also embedded environmental, social and governance (ESG) principles in every business operation and corporate function. Not only are we committed to operating safely, sustainably and equitably, but we are also committed to using our capabilities and expertise to help our customers accomplish their sustainability goals.

Worldwide, KBR employs a diverse workforce approximately 29,000 people strong, with customers in more than 80 countries and operations in 40 countries.

At KBR, We Deliver.

Fraud Alert

Fraud has infiltrated the job placement market via the internet, email and direct phone contact. Attempts have included unauthorized use of KBR’s name and logo to solicit potential job seekers or to extend false job offers. Bad actors may mix in fake job advertisements with legitimate postings. These ads can include contact instructions and require job seekers to send sensitive personal information or money to pay for visa applications, processing fees, etc., in exchange for consideration for a high-paying position.

KBR will never ask for any sort of advance payment as part of the recruiting/hiring process. Candidate profiles are carefully managed to protect personal information.