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Distributed Systems Jobs (NOW HIRING)

Netflix

Distributed Systems Engineer, L5

$100K - $700K/yr

We are looking for Distributed Systems Engineers to help evolve and innovate our infrastructure. We are committed to building a diverse and inclusive team to bring new perspectives as we solve the ...

Netflix

Distributed Systems Engineer, L5

$100K - $700K/yr

We are looking for Distributed Systems Engineers to help evolve and innovate our infrastructure. We are committed to building a diverse and inclusive team to bring new perspectives as we solve the ...

Censys

Senior Distributed Systems Engineer

$174K - $206K/yr

Role Summary: We're looking to hire a Senior Distributed Systems Engineer on our Internet Map Connections team to build highly-available and scalable, data-driven services that provide value directly ...

Censys

Senior Distributed Systems Engineer

$174K - $206K/yr

Role Summary: We're looking to hire a Senior Distributed Systems Engineer on our Internet Map Connections team to build highly-available and scalable, data-driven services that provide value directly ...

Hightouch

Software Engineer, Distributed Systems

$180K - $400K/yr

About the Role We are looking for a distributed systems engineer to work on the systems that power the syncing engine our customers and other engineering teams rely on. This presents an exciting ...

IonQ

Senior Distributed Systems Engineer

Santa Clara, CA · On-site

$122K - $167K/yr

We are looking for a deeply hands-on Senior Distributed Systems Engineer to join the team building IonQ's Network and Security Platform. You will own the backend services - ingestion pipelines ...

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How much do distributed systems jobs pay per year?

As of Sep 11, 2026, the average yearly pay for distributed systems in the United States is $88,927.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $104,000.00 per year, depending on experience, location, and employer.

What cities are hiring for Distributed Systems jobs?

Cities with the most Distributed Systems job openings:

Infographic showing various Distributed Systems job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 9% Part Time, 4% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $88,927 per year, or $42.8 per hour.

Software Engineer, Distributed Systems

San Francisco, CA • On-site

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$180K - $250K/yr

Full-time

Medical, Dental, Vision

Re-posted 10 days ago

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.
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)
Location
  • San Francisco, CA
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

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.

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