Distributed Systems Engineer - SF/Remote & Equity

Fal

Turkey

On-site

TRY 8,466,604 - 12,229,539

Full time

14 days+

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Benefits offered by this job

Visa sponsorship

Relocation assistance

Health, dental, vision insurance (US)

Competitive salary and equity

Job summary

fal is seeking a Software Engineer, Distributed Systems to build and scale our Python/Rust-based platform for AI workloads, delivering low-latency routing, orchestration, and GPU scheduling across global infrastructure. You will bring 5+ years of distributed systems experience, strong knowledge of performance and memory management, and a proven ability to drive technical decisions with teams.

In-person in San Francisco with relocation support; exceptional candidates may explore remote options.

Qualifications

5+ years building distributed compute and orchestration platforms in Python or Rust.
Strong understanding of distributed systems fundamentals: consensus, scheduling, fault tolerance.
Deep understanding of computational complexity and memory allocation.
Track record 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.

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.