Symbolica AI · 5 months ago
Senior Software Engineer (Rust)
Symbolica is an AI research lab pioneering the application of category theory to enable logical reasoning in machines. They are seeking a Senior Software Engineer with knowledge of Rust to take full ownership of delivering working systems from prototypes and high-level specifications, collaborating closely with researchers and ML engineers to turn ambitious ideas into real products.
Artificial Intelligence (AI)Software
Responsibilities
Translate research prototypes and high-level concepts into production-quality software
Own deliverables end-to-end: take specifications, clarify requirements, and execute to completion
Build systems that are correct, reliable, maintainable, and performant
Work closely with ML researchers and engineers to integrate research outputs into functional systems
Own critical engineering tasks with high standards and attention to detail — data pipelines, API integrations, testing, error handling, system integration, and more
Participate in code reviews, technical discussions, and architecture planning
Contribute to improving processes for how we build, ship, and deliver features across teams
Qualification
Required
5+ years of hands-on software engineering experience
Proven ability to execute on incomplete specs and drive projects to completion
Strong experience writing production-quality code (Python & Rust strongly preferred)
Comfortable building full-stack systems (APIs, data pipelines, microservices, internal tools)
High standards for code quality, maintainability, and correctness
Comfortable in fast-moving, ambiguous environments where priorities shift quickly
Bias for ownership: you see what needs to get done and take responsibility for delivering
Preferred
Experience supporting ML research or building ML infrastructure is a plus
Benefits
Competitive salary and early-stage equity package
A high-trust, execution-first culture with minimal bureaucracy
Direct ownership of meaningful projects with real business impact
A rare opportunity to sit at the interface between deep research and real-world productisation