Senior Systems Engineer, Workers AI

United States Digital Space LLC; United States; Hybrid; USD 180,000 - 240,000; Full time

Job summary

United States Digital Space LLC in Austin, TX is seeking a high‑agency systems engineer to design and operate an AI inference platform across a global GPU‑driven network. You’ll tackle distributed systems challenges, sub‑second cold starts, and multi‑accelerator workloads with AI/ML engineers and hardware partners.

You’ll join a team that values rapid iteration, observability, and mentorship, contributing to a reliable, scalable edge deployment across hundreds of cities.

Qualifications

• Proven experience in systems engineering, with a primary focus on distributed, high‑performance systems.
• Expert proficiency in Rust programming, particularly in an asynchronous environment.
• Deep understanding and hands‑on experience with relevant networking and application protocols (e.g., TCP, HTTP, WebSocket).
• Solid experience with scaling and performance optimization techniques, including load balancing and caching in a distributed environment.

Responsibilities

• Platform Architecture: Develop and maintain core components of the serverless inference platform to ensure high availability and scalability for the company users.
• Optimization & Performance: Optimize the model scheduling system to significantly increase efficiency and resource utilization across our inference infrastructure, and implement improvements to request routing logic to reduce latency for end-users.
• System Reliability: Drive significant, measurable improvements in the platform’s reliability and resilience by identifying and mitigating systemic risks.
• Observability: Expand and refine the observability stack (metrics, logging, tracing) and fine‑tune alerts to proactively identify and resolve production issues.
• Technical Leadership: Lead complex, cross‑functional technical projects from initial concept and design through final deployment and operationalization.
• Mentorship: Act as a mentor to junior engineers and actively contribute to cultivating a strong, collaborative engineering culture within the team.

Skills

Rust

Distributed systems

Networking protocols

Load balancing

Caching

Tools

Kubernetes

Nomad

Job description

About Us

At the company, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. the company protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by the company all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. the company was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.

At the company, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.

Available Locations: Austin, TX (Hybrid)

About the role

You’ll design and build the core infrastructure that powers AI inference across the company's global network — real-time voice, frontier open LLMs, and customer-deployed models running on a heterogeneous fleet of GPUs and next-generation accelerators in hundreds of cities worldwide. Working alongside AI/ML engineers, hardware partners, and the company product teams, you’ll solve hard problems in distributed systems and high-performance computing: sub‑second model cold starts, multi‑accelerator workload scheduling, efficient KV cache management, and a model deployment platform serving both the company and customers bringing their own models.

We’re building an AI inference platform embedded in the fabric of the internet — something that doesn’t exist yet — and this role puts you at the center of it. We’re looking for high‑agency systems engineers who are energized by foundational infrastructure problems and want to define how AI runs at the edge of the network.

Responsibilities

• Platform Architecture: Develop and maintain core components of the serverless inference platform to ensure high availability and scalability for the company users.
• Optimization & Performance: Optimize the model scheduling system to significantly increase efficiency and resource utilization across our inference infrastructure, and implement improvements to request routing logic to reduce latency for end-users.
• System Reliability: Drive significant, measurable improvements in the platform’s reliability and resilience by identifying and mitigating systemic risks.
• Observability: Expand and refine the observability stack (metrics, logging, tracing) and fine‑tune alerts to proactively identify and resolve production issues.
• Technical Leadership: Lead complex, cross‑functional technical projects from initial concept and design through final deployment and operationalization.
• Mentorship: Act as a mentor to junior engineers and actively contribute to cultivating a strong, collaborative engineering culture within the team.

Desirable skills, Knowledge & Experience

• Proven experience in systems engineering, with a primary focus on distributed, high‑performance systems.
• Expert proficiency in Rust programming, particularly in an asynchronous environment.
• Deep understanding and hands‑on experience with relevant networking and application protocols (e.g., TCP, HTTP, WebSocket).
• Solid experience with scaling and performance optimization techniques, including load balancing and caching in a distributed environment.

Bonus Points

• Demonstrable experience with container orchestration platforms, specifically Kubernetes and/or Nomad.
• Familiarity with the unique architectural challenges involved in large‑scale inference serving (e.g., LLMs and diffusion models).

What Makes the company Special?

We’re not just a highly ambitious, large‑scale technology company. We’re a highly ambitious, large‑scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we’ve equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by the company’s enterprise customers--at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we’ve provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy‑centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer‑focused service the company has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

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