Location: Campbell, CA (Remote)
Required:
Familiarity with Privacy Preserving Technologies such as Fully Homomorphic Encryption (FHE), Secure Multiparty Computation or differential privacy.
Strong understanding of IEEE floating point number systems and precision dynamics
Strong understanding of Computer Architectures- CPU/GPU/FPGA
Strong understanding of Encryption, Encoding and Security Protocol and Error precision.
Understanding of Ciphertext Operations and Manipulations (e.g. AES)
Experience in Advanced DSP Algorithms such as FFTs, Martrix Multiplications etc.
Analysis of existing Algorithms, workloads, usage cases and identify performance bottlenecks.
Design and prototype new Algorithms, Optimization Methods, and System Architectures
Development of innovative HW/SW solutions to achieve end system QoS goal such as latency, BW and Utilization
Responsible for Designing and Developing encryption APIs to support Large Scale Data Security.
Experience in Systems architecture, Computer architecture, Trustworthy Computing, or Cryptographic Protocols
Understanding and prototyping of Machine Learning (ML) and Advanced Math Libraries (e.g. Logistic Regression, NTL, GMP)
Strong experience in Advanced System Algorithms with performance understanding and optimizations (Hardware and Software)
Strong experience in C/C++. Job responsibilities include development for FHE operators, libraries modules on custom scalable HW Fabric.
Strong experience of development in LinuxOS. Experienced in implementing classical CS algorithms and data structures
Familiarity with Developer and Debugging toolchains (e.g. GDB).
Experience Integrating or Deploying in production environments
Familiarity with Python, Shell Environment.
Education:
Advanced Degree in Computer Science, Computer Engineering, Applied Mathematics or a related field. Or PhD in computer Science, Mathematics or related field is preferred.