Software Engineer, Distributed Systems at fal (Global)
fal· Global·
Role details
Interesting And Challenging Work · Learning And Growth Opportunities · Regular Team Events And Offsites
Summary
Build and scale core distributed computing platforms using Python and Rust, focusing on reliability, low latency, and high traffic. Design systems for GPU autoscaling, orchestration, and observability while leveraging AI to automate complex infrastructure tasks.
Job description
fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.
You are an experienced software engineer who thrives on building large-scale computing platforms. You have deep expertise in large scale distributed systems that deal with high complexity, a lot of traffic and data. You know how to achieve reliability and scale with minimum operational load.
Key responsibilities
- Build our core Python/Rust platform: request routing, AI workload orchestration, scheduling, GPU autoscaling, large scale file storage, queueing, etc
- Produce forward designs for platform evolution as we scale to 100x current traffic and need to provide low latency across the world
- Leverage AI to an extreme level to automate the mundane parts of building complex but reliable systems
- Profile and tune low level CPU and memory performance
Requirements
- 5+ years experience building distributed compute and orchestration platforms in Python or Rust
- Strong understanding of distributed systems fundamentals: consensus, scheduling, fault tolerance, capacity planning
- Deep understanding of computational complexity and memory allocation
- Track record of designing systems that scale under real production load
- Experience building and using observability to drive performance and reliability decisions
- Excellent communication and ability to drive technical decisions across teams
- Self-starter who executes quickly, takes ownership, and constantly seeks improvement
Nice to have
- Experience with AI/ML inference or training infrastructure
- Experience with high-performance systems programming (async runtimes, zero-copy, memory-safe concurrency)
- Background in building multi-tenant compute platforms
- Understanding of networking fundamentals and performance characteristics
- Familiarity with GPU workload characteristics and scheduling constraints
Location
- Turkey
What we offer at fal
- Interesting and challenging work
- A lot of learning and growth opportunities
- Regular team events and offsites
U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION
fal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.
Why work at fal
- Engineering culture: Fast-paced, high-agency environment focused on infrastructure and ML performance. Teams own critical systems from day one.
- Work model: Primarily in-person at downtown San Francisco office. Remote opportunities available for exceptional candidates.
- Visa sponsorship: Offered with relocation support to San Francisco.
- Benefits: Competitive salary and equity, health/dental/vision insurance, regular team events and offsites.
- Growth trajectory: Company is scaling rapidly (headcount +246% YoY) with ambitious goals to 1000x usage, offering significant career growth opportunities.
- Impact: Work on the foundational platform powering generative AI for millions of users and leading enterprises.