Research Engineer/Scientist- Security and Privacy
Research Engineer/Scientist- Security and Privacy
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Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
The expected candidate will engage in a broad spectrum of cuttingedge 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 toptier research universities in the US (e.g. Carnegie Mellon University) to help bring cuttingedge R&D results out of the lab and into the market
- Shape Boschs future RD strategy via identification of earlystage 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 sidechannels 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 graduatelevel coursework in Deep Learning/Reinforcement Learning /Generative Models LLMfocused 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 highlevel 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 nonsubject matter experts
Additional Information :
Equal Opportunity Employer including disability / veterans
*Bosch adheres to Federal State and Local laws regarding drugtesting. 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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Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
