SASH is a young, fast-moving organization where finding opportunities and making things happen is the norm. You'll have substantial autonomy to build around promising ideas rather than inherit a mature roadmap, while working with an international network of technical experts and policymakers.

Your Work

This is a critical leadership role with substantial scope to define the technical direction of SASH's Verification program. You'll help decide which technical bets are most important to pursue, turn promising ideas into practical prototypes, and build the team and capabilities needed to advance them.

AI verification is still an open technical problem. Mechanisms need to be robust to attempts to evade them, privacy-preserving enough to be deployable, and auditable enough to earn the trust of governments and other stakeholders. Solving these problems can draw on cybersecurity, cryptography, ML, hardware, and electrical engineering — alongside an understanding of the real-world constraints under which verification mechanisms would operate.

Our current project involves distinguishing between inference and training workloads on a GPU. Future directions could include scaling zero-knowledge proofs for AI inference or designing privacy-preserving approaches to white-box evaluations.

In this role, you would:

• Set technical direction: Identify promising verification problems and approaches, decide which bets are worth pursuing, and steer projects from idea through prototype.
• Build and prototype: Work across problems such as algorithms for recomputing AI workloads, ML engineering for inference pipelines, frontend engineering for demonstrations, and cybersecurity analysis of verification designs.
• Build the team: Manage and coach engineers, help set areas of specialization, and grow SASH's in-house verification capabilities.
• Collaborate with technical experts: Work with external experts and SASH's broader team across cybersecurity, ML, hardware, cryptography, confidential computing, and adjacent fields.
• Interface with policymakers: Help translate technical work and trade-offs for policymakers and other stakeholders, and ensure the mechanisms we're developing respond to real-world verification needs.

About You

Essentials

• Strong engineering, systems, cybersecurity, or adjacent technical fundamentals.
• Expertise relevant to AI verification, such as cybersecurity, confidential computing, AI infrastructure, hardware, cryptography, or related systems domains.
• Comfortable operating in an ambiguous technical environment: identifying promising directions, setting priorities, and moving from ideas to prototypes.
• Experience leading technical work and developing others, including managing or coaching engineers.
• Strong communication skills, including the ability to explain technical problems and trade-offs to different audiences.

Nice to Have

• Experience with AI hardware, datacenter infrastructure, or confidential computing.
• Electrical engineering experience, particularly around network-level instrumentation.
• Experience with cryptographic or privacy-preserving systems.
• Experience translating research or technical prototypes into real-world applications.
• Familiarity with AI safety, AI governance, or technical verification.

You do not need to come from AI safety or AI verification specifically. We're interested in people whose experience in adjacent technical fields gives them the judgment and expertise to help build this field.

Role logistics & Benefits

Location:

This is a remote role that can be based in Singapore or remotely. For candidates interested in relocating, SASH could provide visa sponsorship in the UK. Our team is globally distributed, so remote team members should be comfortable maintaining some working-hour overlap with colleagues across regions.

Benefits:

• Competitive benefits and leave policies.