Research Engineer/Scientist- Security and Privacy

Pittsburgh, PA, United States

Bosch Group

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Company Description

The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is a part of the global Bosch Group (www.bosch.com), a company with over 90 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design.

The security and privacy group at the Research and Technology Center in Pittsburgh is one of two global groups (and the only one in North America) focused on the development of novel security and privacy technologies to create innovative cybersecurity and privacy solutions that protect Bosch's products, infrastructure, and have the potential to create new business opportunities for the Bosch group.

Job Description

The expected candidate will engage in a broad spectrum of cutting-edge research in areas at the intersection of applied cryptography, security, system security, and AI for security. We are particularly interested in candidates that can demonstrate through their research work experience in the application of AI techniques and methods to solving challenging security and privacy problems. The successful candidate is expected to:

  • Drive research projects spanning a wide variety of topics and domains including but not limited to cyberdefense, automotive system security, industrial control system security, privacy for data intensive applications, and security in distributed systems
  • Positively impact the future business of Bosch from the invention of novel technologies and intellectual property through their successful transfer to business units for realization in real products
  • Collaborate closely with top-tier research universities in the US (e.g. Carnegie Mellon University) to help bring cutting-edge R&D results out of the lab and into the market
  • Shape Bosch's future R+D strategy via identification of early-stage trends and technologies via active scouting of the overall scientific/technical environment

Qualifications

Required Qualifications:

  • Ph.D. in computer science, computer/electrical engineering, or related field
  • Experience in security and privacy research showing the ability for novel results and, at the same time, to build prototypes and verify experimentally theoretical designs.
  • Experience in solving problems at the intersection of security and machine learning/AI (i.e., LLMs), and in particular, the application of modern AI techniques, tools and method to solve challenging security and privacy problems, such as, intrusion detection, anomaly detection in security applications, network security, and applications of data mining to/in constrained environments (e.g., automotive networks) for security

Preferred Qualifications:

  • Experience in at least one of the following areas as evidenced by significant contributions in the form of publications and/or patents or patent applications:
    • System Security, network security, hardware, embedded security, side-channels, trusted computing and secure execution environments (e..g, SGX, ARM TrustZone, etc.)
    • Privacy enhancing technologies, Zero knowledge proofs, MPC, differential privacy, etc.

NOTE: Candidates familiar with a second area (should be able to understand and contribute in deep technical discussions in the first area) are particularly encouraged to apply.

  • Publications or graduate-level coursework in Deep Learning/Reinforcement Learning /Generative Models, LLM-focused security, adversarial ML, etc.. Fluency in ML libraries such as Pytorch, TensorFlow, SKLearn, Hugging, Face Transformers, etc. as evidenced to open source projects or similar.
  • Fluent in at least one high-level programming language (e.g., C/C++, python, etc.). Experience with low level programming (assembly) or HDL a plus.
  • Excellent communication and presentations skills, including the ability to effectively convey complex technical topics to non-subject matter experts

 

Additional Information

Equal Opportunity Employer, including disability / veterans

*Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date. 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Circuit Design Computer Science Data Mining Deep Learning Distributed Systems Engineering Generative modeling Industrial LLMs Machine Learning Open Source Privacy Python PyTorch R R&D Reinforcement Learning Research Scikit-learn Security TensorFlow Testing Transformers

Perks/benefits: Career development Startup environment

Region: North America
Country: United States

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