The TEE Specialist will design and implement TEE-based solutions for secure AI model execution, optimize TEE and GPU integration, and develop verification mechanisms for computational integrity.
About Ritual
About the roleRitual is building a sovereign, execution layer for AI, with our private testnet already live and running. The Ritual chain is the first blockchain custom-built to support AI-native operations, designed from the ground up to enable a new class of applications at the intersection of crypto and AI. Our first product, Infernet, is pioneering new ground as the first solution to enable developers to access AI models both on-chain via smart contracts and off-chain, demonstrating our commitment to bridging these transformative technologies.
We're seeking a TEE Specialist to pioneer the next generation of on-chain compute verifiability solutions. You'll be at the forefront of integrating TEE technology with GPU compute for AI workloads, working on immediate, high-impact initiatives that are crucial for making fully onchain AI practical.
- Design and implement TEE - based solutions for secure AI model execution
- Develop and optimize TEE + GPU integration patterns for high-performance AI workloads
- Build verification mechanisms for computational integrity using TEE capabilities
- Design and implement secure network traffic attestation systems for bridging off-chain data
- Utilize secure enclaves for sensitive operations within our distributed network
- Work with our core team to implement practical, market-ready TEE solutions
- Collaborate on architecture decisions balancing security, performance, and time-to-market
- Maintain and optimize TEE environments in production systems
- Deep expertise in TEE technologies (SGX, TDX, SEV-SNP), with practical implementation experience
- Strong background in systems programming (C++, Rust), with focus on secure enclave development
- Experience with GPU integration in TEE environments
- Solid understanding of Linux systems and kernel-level programming
- Expertise in network security protocols and traffic attestation mechanisms
- Familiarity with EVM-based blockchain systems and distributed computing
- Track record of shipping production TEE implementations
- Experience with TEE SDKs (Gramine, Open Enclave, etc.)
- Strong security mindset and understanding of threat models in distributed systems
- Ability to make pragmatic technical decisions balancing security and time-to-market requirements
- Ability to act quickly under high pressure scenarios and context switch at a high frequency
- A high level of end-to-end ownership and self-direction, with excellent communication skills
- Hungry, high-energy and ability to work within and meet deadlines in a fast-paced environment
- Experience with AI/ML systems and their computational requirements
- Knowledge of blockchain node operation or development
- Background in cryptography and secure systems design
Experience with network verification protocols (zkTLS, TLSNotary, etc.) - Experience with zero-knowledge proofs or other verification systems
- Contributions to open-source TEE or security projects
- Join a passionate group of engineers, researchers, and operators on a mission to build the next generation of AI infrastructure
- Highly competitive compensation package, including annual discretionary bonus & optimized tax structure compared to the vast majority of web3 startups
- Top 1% of benefits across the web3 startup space
- 100% of premiums covered on highest quality healthcare
- Aggressive company 401k match
- Fully remote and/or hybrid, up to you!
- Participate in virtual and in-person events
- Much much more!
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What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
