
Enable job alerts via email!
Generate a tailored resume in minutes
Land an interview and earn more. Learn more
A leading university in Singapore is seeking a Fully Homomorphic Encryption Engineer to work on innovative privacy-preserving deployment of computer vision models. You will design and develop FHE pipelines, collaborate with Full Stack engineers for integration, and maintain high coding standards. The ideal candidate has a relevant Bachelor's or Master's degree and experience with Concrete-ML or other FHE libraries. Strong communication skills and familiarity with Docker and CI/CD are essential for this role.
A Fully Homomorphic Encryption (FHE) Engineer position is currently available at NTU and the start-up TT-logic, part of the incubator NTUitive from the Nanyang Technological University. The candidate is expected to work on implementing and optimizing the deployment of privacy-preserving inference pilots of efficient computer vision / multimodal models.
Design and develop a FHE pipeline (based on industry available libraries) for machine learning / computer vision use-cases, and deploy privacy-preserving inference to clients environment.
Adapt and evolve our products based on client preferences and emerging technologies.
Collaborate with Full Stack engineers to integrate your tools pipeline into the TTnet software architecture.
Write clean, maintainable code and conduct thorough testing to identify and resolve any issues or bugs.
Stay up to date with the latest industry trends and emerging technologies to continuously improve the product.
Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
Experience with Concrete-ML library from Zama or other FHE/crypto libraries.
Hands-on Docker and CI/CD experience, comfort with Linux tooling, clear documentation.
Effective communication and interpersonal skills to collaborate with other engineers.
We regret that only shortlisted candidates will be notified.