Senior Software Engineer, Symbolica AI

Rust

$170-240k

+ Early-stage equity package

Rust

Senior level

San Francisco Bay Area

5 days a week in office (Industrious, 345 California St)

Building structured cognition in machines

Posted today

Building structured cognition in machines

1-20 employees

B2BArtificial IntelligenceDeep TechMachine LearningSaaSScience

Posted today

$170-240k

+ Early-stage equity package

Rust

Senior level

San Francisco Bay Area

5 days a week in office (Industrious, 345 California St)

1-20 employees

B2BArtificial IntelligenceDeep TechMachine LearningSaaSScience

Company mission

To bridge the gap between theoretical mathematics and cutting-edge AI, creating symbolic reasoning models that think like humans - precise, logical, and interpretable.

Job

Company

Role

Who you are

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 in Rust & Python
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

Desirable

Experience supporting ML research or building ML infrastructure is a plus

What the job involves

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

Our take

Right now, most AI works by crunching massive amounts of data using increasingly massive computers. But experts say we're hitting a wall, with bigger models costing more, using more energy, and quite frankly, plateauing in quality.

That's where Symbolica AI steps in. Instead of building AI that just mimics patterns, Symbolica is creating models that reason (think logic, math, and structure over brute force guesswork). Using advanced math called category theory (it's as brainy as it sounds), it's building smaller, smarter AI that can explain answers and make decisions you can actually understand. It's pretty much a mix of old-school symbolic AI and new neural networks.

It's still early days for the company, but it is making waves, with serious funding and a dream team from Tesla and Neuralink. And its first product, a code-generating AI, is set to be released very soon. Of course, it's battling AI giants with deep pockets and tons of data, but if Symbolica's gamble on structure over scale pays off, it might just be the blueprint for AI's next big leap.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

Glassdoor (4.4)

Company

Funding (2 rounds)

Apr 2024

$24.8m

SERIES A

Nov 2023

$8.3m

SEED

Total funding: $33m

Company HQ

SoMa, San Francisco, CA

Leadership

George Morgan

(Co-Founder & CEO)

Previously spent 4 years at Tesla as an Autopilot Software Engineer. Prior to that, they founded Flipper Engineering where they served as the Lead Developer for over 4 years.

Jonathan Frydman

(CPO)

Jonathan graduated from The University of British Columbia with a BASc in Mechanical Engineering. Previously spent 3 years at Tesla as a Product Design Engineer and Senior Software Product Manager.

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