Research Engineer / Research Scientist, Remote Compute Accounting
Singapore AI Safety Hub · GB
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About the Role
The Verification team builds and tests tools to verify agreements about AI. We prototype new verification mechanisms, lead international research collaborations, and work with policymakers to inform the trustworthy adoption of AI in high-stakes industries.
Responsibilities
- Design challenge protocols and measure whether real accelerators can satisfy them.
- Microbenchmarking accelerators.
- Writing challenge kernels.
- Characterizing high-bandwidth memory capabilities under adversarial conditions.
- Determining if measurements support a verifiable agreement.
- Publishing research findings, including negative results.
Requirements
- Ability and trajectory are valued over years of experience.
- Rigorous about measurement and its potential flaws.
- Ability to consider an adversary while optimizing.
- Comfortable working on and publicly reporting on protocols that may not work.
- Thrive in ambiguous, early-stage environments where problem definition is key.
Skills
- GPU performance measurement
- Systems measurement
- Kernel development
- Microbenchmarking
- Memory hierarchy analysis
- Distributed timing
- Cryptographic background
- Hardware interaction
- CUDA programming
- Low-level accelerator programming
- Compression
- Information theory
- Model quantization
- Timing-based protocols
- Proofs of space or time
- Distance bounding
- Hardware characterization without documentation
- LLM inference internals (batching, KV cache management, scheduling)
Location
- Remote
Work Type
- Full-time
Experience Level
- Mid-level
- Senior
About the Company
- SASH's Verification team is tackling the urgent technical and political challenge of verifying AI datacenter operations to enable international cooperation and trustworthy AI adoption.
- The team combines technical expertise with international AI policy experience, with leadership from academia and experience from government.
- Partners include experts from the Future of Life Institute and the University of Oxford.