Research Engineer/Scientist- Security and Privacy

Robert Bosch Group; Pittsburgh (Allegheny County); On-site; USD 90,000 - 150,000; Full time

Job summary

Join a forward-thinking company as a Research Engineer/Scientist focused on Security and Privacy. This role involves leading innovative research at the intersection of security and AI, contributing to groundbreaking technologies that protect products and infrastructure. Collaborate with top universities and shape the future of Bosch's R&D strategy. If you have a Ph.D. and a passion for applying AI to security challenges, this is an exciting opportunity to make a significant impact in a dynamic environment.

Qualifications

• Proven experience in security and privacy research with novel results.
• Experience in applying AI techniques to security challenges.

Responsibilities

• Lead research projects on cyberdefense and data privacy.
• Collaborate with universities to translate research into products.

Skills

Applied Cryptography

Security Research

Machine Learning/AI

Intrusion Detection

Anomaly Detection

Network Security

Data Mining

Excellent Communication Skills

Education

Ph.D. in Computer Science or Electrical Engineering

Tools

PyTorch

TensorFlow

SKLearn

Hugging Face Transformers

Job description

Research Engineer/Scientist- Security and Privacy

• Full-time

The Bosch Research and Technology Center North America, with offices in Sunnyvale, California; Pittsburgh, Pennsylvania; and Cambridge, Massachusetts, is part of the global Bosch Group (www.bosch.com), a company with over 90 billion euros in revenue, 400,000 employees worldwide, a diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) focuses on developing technologies and system solutions across various Bosch business areas, including artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors, wireless, and advanced MEMS design.

The security and privacy group at the Pittsburgh center is one of two global groups (and the only one in North America) dedicated to developing innovative security and privacy technologies. These solutions aim to protect Bosch's products and infrastructure and create new business opportunities.

The ideal candidate will engage in cutting-edge research at the intersection of applied cryptography, security, system security, and AI for security. We are especially interested in candidates with experience applying AI techniques to challenging security and privacy issues. The responsibilities include:

• Leading research projects across topics such as cyberdefense, automotive system security, industrial control system security, data privacy, and security in distributed systems.
• Contributing to Bosch's future business by inventing new technologies and transforming research into real-world products.
• Collaborating with top-tier U.S. research universities (e.g., Carnegie Mellon University) to translate research into market-ready solutions.
• Identifying emerging trends and technologies to shape Bosch's R&D strategy through active scouting.

Required qualifications:

• Ph.D. in computer science, electrical engineering, or a related field.
• Proven experience in security and privacy research, capable of producing novel results and building prototypes to verify theoretical designs.
• Experience at the intersection of security and machine learning/AI, including applying modern AI tools and techniques to security challenges such as intrusion detection, anomaly detection, network security, and data mining in constrained environments like automotive networks.

Preferred qualifications:

• Significant contributions (publications or patents) in areas such as system security, network security, hardware security, embedded security, trusted computing, privacy-enhancing technologies, zero-knowledge proofs, MPC, or differential privacy.
• Ability to understand and contribute to deep technical discussions in multiple areas, especially if familiar with a second area.
• Publications or coursework in Deep Learning, Reinforcement Learning, Generative Models, LLM security, adversarial ML, etc., with proficiency in ML libraries like PyTorch, TensorFlow, SKLearn, Hugging Face Transformers, demonstrated through open-source projects or similar.
• Fluency in at least one high-level programming language (e.g., C/C++, Python); experience with assembly or HDL is a plus.
• Excellent communication skills, capable of explaining complex technical topics to non-experts.

*Bosch complies with all applicable laws regarding drug testing. Employment is contingent upon passing a drug screen and background check. Candidates must pass both before their start date.