Offer summary

Qualifications:

Strong computer science fundamentals., Experience with production-quality code development., Proficiency in system-level programming languages like C/C++, Rust, or Go., Deep understanding of distributed systems and operating systems, preferably Linux or macOS..

Key responsibilities:

Develop and maintain software components for the Gensyn network.

Participate in system architecture design and code reviews.

Optimize existing system components to meet user requirements.

Contribute to architectural evolution and large-scale deployment decisions.

Job description

Machine intelligence will soon take over humanity’s role in knowledge-keeping and creation. What started in the mid-1990s as the gradual off-loading of knowledge and decision making to search engines will be rapidly replaced by vast neural networks - with all knowledge compressed into their artificial neurons. Unlike organic life, machine intelligence, built within silicon, needs protocols to coordinate and grow. And, like nature, these protocols should be open, permissionless, and neutral. Starting with compute hardware, the Gensyn protocol networks together the core resources required for machine intelligence to flourish alongside human intelligence.

The Role

Build the software components that make the Gensyn network solve complex distributed machine learning problems

Responsibilities

Contribute to and maintain the Gensyn executor, mesh network, and SDK, adding new features, optimizing existing solutions, fixing bugs, and participating in the architectural evolution of the system
Contribute to system architecture and design decisions for large-scale deployments
Conduct code and design reviews to uphold high standards of code quality across the team
Measure and optimize existing components to ensure they meet end-user requirements effectively

Competencies

Must Have

Rock solid computer science fundamentals
Demonstrable production experience shipping code
Proficient in one system-level language (e.g. C/C++, Rust, Go, Zig, …)
Deep understanding of distributed systems or systems at scale
Operating system fundamentals - preferably Linux/macOS
Highly self-motivated with excellent verbal and written communication skills

Preferred

Experience with common networking protocols
Experience working in high-growth start/scale-up environments
Experience working with observability tools, such as metrics and traces
Experience with building distributed databases, file systems, or queues
Experience with UNIX/POSIX APIs

Nice to have

Experience with AI systems in production
Experience contributing to or maintaining open-source distributed systems
Performance optimization tooling and tactics experience
Proficient understanding of distributed systems concepts (Consensus, CAP, Fault Tolerance)
Proficient in Rust

Compensation / Benefits

Competitive salary + share of equity and token pool
Fully remote work - we currently hire between the West Coast (PT) and Central Europe (CET) time zones
Visa sponsorship - available for those who would like to relocate to the US after being hired
3-4x all expenses paid company retreats around the world, per year
Whatever equipment you need
Paid sick leave and flexible vacation
Company-sponsored health, vision, and dental insurance - including spouse/dependents [🇺🇸 only]

Our Principles

Autonomy & Independence

Don’t ask for permission - we have a constraint culture, not a permission culture.
Claim ownership of any work stream and set its goals/deadlines, rather than waiting to be assigned work or relying on job specs.
Push & pull context on your work rather than waiting for information from others and assuming people know what you’re doing.
Communicate to be understood rather than pushing out information and expecting others to work to understand it.
Stay a small team - misalignment and politics scale super-linearly with team size. Small protocol teams rival much larger traditional teams.

Rejection of mediocrity & high performance

Give direct feedback to everyone immediately - rather than avoiding unpopularity, expecting things to improve naturally, or trading short-term pain for extreme long-term pain.
Embrace an extreme learning rate - rather than assuming limits to your ability / knowledge.
Don’t quit - push to the final outcome, despite any barriers.
Be anti-fragile - balance short-term risk for long-term outcomes.
Reject waste - guard the company’s time, rather than wasting it in meetings without clear purpose/focus, or bikeshedding.
Build and design thinly.

Required profile