Job Overview
Location
San Francisco
Job Type
Full-time
Category
Software Engineering
Date Posted
June 4, 2026
Full Job Description
📋 Description
- • Design and build custom database and memory systems from scratch to support novel AI and robotics applications.
- • Implement real-time LLM token state management at large scale, ensuring low-latency and high-throughput performance across distributed systems.
- • Develop custom Unix OS distributions optimized for coexistence between human users and AI agents, with tailored resource allocation and security models.
- • Rethink user experience paradigms by integrating insights from human psychology and organizational behavior into interface design and workflow architecture.
- • Pursue compounding micro-optimizations across the full technology stack, from kernel-level operations to application-layer logic.
- • Work onsite five days a week in San Francisco, CA (South Park neighborhood), with no remote work options available.
- • Collaborate on systems-level infrastructure that bridges AI reasoning, real-time data persistence, and human-centered interaction models.
- • Solve technically unsolved problems with no existing industry solutions, requiring deep creativity and independent problem-solving.
- • Build large, complex, and maintainable systems at a pace significantly faster than industry norms, demonstrating exceptional engineering efficiency.
- • Apply advanced knowledge of graph databases, flexible data pipelines, and ontological modeling to structure dynamic AI state and knowledge graphs.
- • Translate psychological and behavioral research into product decisions that enhance usability, reduce cognitive load, and improve team alignment in human-AI collaboration.
- • Contribute to a fully in-person engineering culture focused on deep technical work, rapid iteration, and high autonomy in a well-funded startup environment.
- • Engage in cross-functional problem-solving with teams focused on robotics, AI reasoning, and human-system interaction, without managerial responsibilities.
🎯 Requirements
- • Deep obsession with novel, overlooked, or technically unsolved problems
- • Demonstrated ability to build large, complex, and maintainable systems in roughly one-third the time most engineers consider possible
- • Proficiency in one or more of: TypeScript, Rust, Python
- • Experience with graph databases, flexible data pipelines, or ontological modelling
- • Comfort applying psychology and organisational behaviour insights to product and UX decisions
- • Signal of outlier intelligence — top academic background or standout real-world experience (non-traditional backgrounds welcome)
🏖️ Benefits
- • Cash compensation: $200,000 – $400,000 USD annually
- • Variable equity on top of cash
- • Visa sponsorship available
Skills & Technologies
About Clera
Clera, Inc. operates as an AI Talent Agent, leveraging artificial intelligence to enhance and streamline various aspects of the talent acquisition and management process. The company's core offering appears to center on an AI-powered platform designed to connect skilled individuals with suitable opportunities or to assist organizations in efficiently sourcing and evaluating candidates. While comprehensive details regarding specific features, target industries, or the scale of its operations are not yet publicly available, the current online presence indicates that Clera's services are actively being prepared for launch. This suggests an upcoming introduction of innovative AI solutions aimed at optimizing the ecosystem where talent meets demand.
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