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.
As a Systems Engineer at Gensyn, your responsibilities would see you:
- Build simple software components that help solve complex challenges in distributed machine learning training
- Contribute to and maintain the Gensyn node, CLI, and related tools by implementing new features (e.g., adding CLI flags, ML execution orchestration, new network protocols), optimizing existing solutions (e.g., using memory-mapped files or more efficient data structures), fixing bugs, and participating in architectural design
- Conduct code reviews to uphold high standards of code quality across the team
- Measure and optimize existing components to ensure they meet end-user requirements effectively
Must have
- Rock solid computer science fundamentals
- Demonstrable production experience shipping code
- Willingness to upskill on rust-lang, proficient in one system level language
- 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
Should have
- Experience with UNIX APIs and networking protocols
- Experience working in high-growth start/scale-up environments
- Experience working with metrics/spans/traces
Nice to have
- Experience with AI systems in production
- Performance optimization tooling and tactics experience
- Proficient in rust
- Competitive salary + share of equity and token pool
- Fully remote work - we hire between the West Coast (PT) and Central Europe (CET) time zones
- Relocation Assistance - available for those that would like to relocate after being hired (anywhere from PST through CET time zones)
- 4x all expenses paid company retreats around the world, per year
- Whatever equipment you need
- Paid sick leave
- Private health, vision, and dental insurance - including spouse/dependents [🇺🇸 only]
Autonomy
- 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
- No middle managers - we don’t (and will likely never) have middle managers
Focus
- Small team - misalignment and politics scale super-linearly with team size. Small protocol teams rival much larger traditional teams
- Thin protocol - build and design thinly
- Reject waste - guard the company’s time, rather than wasting it in meetings without clear purpose/focus, or bikeshedding
Reject mediocrity
- 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
- No quit - push to the final outcome, despite any barriers
