Cryptographic Software Engineer
PrivateAI is an AI protocol to store, process, validate and sell your data assets. PrivateAI will generate datasets for you from any unstructured data you provide.
About PrivateAI
PrivateAI is an AI protocol to store, process, validate and sell your data assets. It generates datasets from unstructured data, using semantic models to ensure they are machine learning ready. The PrivateAI ecosystem includes knowledge graphs for data visualization, a data marketplace for buying and selling proprietary data, and a peer-to-peer environment for researchers to share insights. It also features a platform for knowledge-intensive crowdsourcing with a dynamic reward system. The native token, $PGPT, represents the value of datasets and is used for payments and contributions. The platform is built on a privacy-by-design methodology, utilizing Fully Homomorphic Encryption (FHE), Confidential Machine Learning (ConfML), and a Tendermint-based consensus to ensure data security and privacy. Use cases span across data analytics, research labs, GenAI companies, healthcare, and predictive modeling.
Skills
About the Role
You'll directly contribute to advanced research efforts in data security, generating and evaluating new data privacy solutions, supporting product teams with security expertise, and solving complex cryptography-related challenges. You'll conduct novel research in the field, combining intellectual curiosity with practical, results-driven work that builds on existing knowledge to produce actionable benefits for end users.
Requirements
- Qualified software/cryptographic engineer with multi-year distributed ledger experience
- Experience partnering with engineering teams and transferring research to production
- Ability to excel in a fast-paced, startup-like environment
- Well versed in data governance, quality, semantics, health data topics and related data transformation including methods of de-identification and privacy preserving analytics and computing
- In depth expertise in cryptographic design and analysis, cryptographic protocols, fully homomorphic encryption, encryption standards, secure computing, privacy-enhancing technologies
- Strong problem-solving abilities and a proactive approach to identifying and mitigating security risks and vulnerabilities
- Programming experience (e.g., Java, C/C++, Python)
- Knowledge of cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)
- Experience with SQL and NoSQL databases
- Understanding of web technologies (HTML, CSS, JavaScript)
- 5+ years of experience with security, encryption, architecture, and design
- Experience with encryption and decryption within AI and LLM environments (Mistral, spaCy, BERT etc.)
- Experience with fully homomorphic encryption
- Masters/PhD or equivalent education and experience in Mathematics, Computer Science, or related field
Responsibilities
- Develop an original research agenda and directions, and perform independent analysis of products using cryptographic mechanisms
- Contribute to ongoing projects
- Collaborate with a cross-functional team to ensure seamless integration and alignment of solutions with goals and best practices, and participate in implementation
- Design and implement cryptographic technologies and algorithms
- Communicate with subject matter experts and adopt innovations
- Stay at the forefront of emerging cryptography trends, technologies, and best practices, and apply this knowledge to enhance data protection strategies
- Provide expertise and guidance in cryptography, data security and privacy, encryption and adjacent areas for products
- Build resilient and scalable architecture, driving innovation and cost efficiency
Benefits
- Performance-dependent bonuses including commission from funding raised
- Vesting in the form of tokens
- Access to personal networks and prestigious memberships of the company, its advisors and the CEO
- Invitations to attend conferences or business events in global tech and finance hotspots with expenses paid by the company