About the Role
About this role
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
- 3+ 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.
Compensation
$180,000-250,000 plus equity + benefits (This range is across all 3 levels Mid, Senior and Staff)
What we offer At Fal
- Interesting and challenging work.
- A lot of learning and growth opportunities.
- We are currently hiring in downtown San Francisco.
- We offer relocation assistance to San Francisco.
- Health, dental, and vision insurance (US).
- Regular team events and offsites.
Requirements
Distributed systems experience
3+ years experience building distributed compute and orchestration platforms in Python or Rust.
Understanding of fundamentals
Strong understanding of distributed systems fundamentals: consensus, scheduling, fault tolerance, capacity planning.
Computational complexity knowledge
Deep understanding of computational complexity and memory allocation.
System design track record
Track record of designing systems that scale under real production load.
Observability experience
Experience building and using observability to drive performance and reliability decisions.
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.
Benefits
Equity
Compensation includes equity options.
Health insurance
Health, dental, and vision insurance provided.
Relocation assistance
We offer relocation assistance to San Francisco.
Learning opportunities
A lot of learning and growth opportunities.
Team events
Regular team events and offsites.