> Markdown version of [/jobs/ext/643957-systems-engineer-ai-infrastructure](https://www.wearedevelopers.com/jobs/ext/643957-systems-engineer-ai-infrastructure). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Systems Engineer - AI Infrastructure

- **Company:** CLOCKWORK SYSTEMS, INC.
- **Location:** United States
- **Experience:** Expert
- **Salary:** $150,000.0 - $230,000.0
- **Contract:** Permanent contract
- **Skills:** Systems Engineering, C++ (Programming Language), Computer Clusters, Profiling, Nvidia CUDA, Databases, Software Debugging, Device Drivers, Distributed Data Store, Distributed Systems, Fault Tolerance, InfiniBand, Remote Direct Memory Access, Software Engineering, Pytorch, Gpu Programming
- **Published:** June 25, 2026
- **Apply:** https://www.dice.com/job-detail/83462549-0721-4b37-ae7f-ab4c28cd291f

## About the Role

Required: Systems building experience, * Kernel subsystems, device drivers, or OS-level components

 * Distributed storage, databases, or coordination systems
 * Runtimes, profilers, or performance tooling
 * Network stacks, protocols, or high-performance I/O systems
 * Large-scale infrastructure at the systems layer

Core technical skills:

 * Strong C/C++ in systems contexts (not just application code)
 * Deep understanding of concurrency, memory models, and failure modes
 * Experience reasoning about distributed system behavior: consistency, ordering, partial failures
 * Comfortable reading and modifying large, unfamiliar codebases

Nice to have:

 * GPU programming (CUDA) or GPU systems experience
 * High-performance networking (RDMA, InfiniBand)
 * ML framework or runtime internals
 * Cluster scheduling or orchestration systems

We believe strong systems engineers pick up domain-specific tools quickly. We value your ability to reason about complex systems over checkbox familiarity with our specific stack.
Senior Expectations

 * Lead design of significant system components
 * Navigate ambiguity and define technical direction
 * Mentor engineers and raise team capabilities
 * 8+ years building systems software

## Description

We're building infrastructure for fault-tolerant, high-performance distributed GPU training. You'll work at the intersection of GPU systems, high-speed networking, and distributed coordination-designing and implementing systems that run at scale.

This is a systems building role. You'll dig into internals, understand why things break under pressure, and design solutions that handle the messy reality of distributed systems.
What You'll Do

 * Design and implement low-level systems software for GPU clusters
 * Work with internals of frameworks like PyTorch, NCCL, CUDA runtime-not as a user, but modifying and extending them
 * Build components that make large-scale GPU training more reliable and efficient
 * Debug complex distributed/concurrent systems where failures are subtle and non-deterministic
 * Own systems end-to-end: from design through production


## Related Videos

- [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding)
- [Profiling Symfony & PHP apps with Blackfire](https://www.wearedevelopers.com/videos/265-profiling-symfony-php-apps-with-blackfire)
- [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases)
- [Coffee with Developers - Stephen Jones - NVIDIA](https://www.wearedevelopers.com/videos/1303-coffee-with-developers-stephen-jones-nvidia)
- [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models)
- [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops)

## Related Articles

- [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers)
- [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai)
- [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated)