# AI Inference Core - Infrastructure SW Engineer

**Company:** [Cerebras Systems](https://hotfix.jobs/companies/cerebras-systems)
**Location:** Unspecified
**Role:** Fullstack Engineering
**Experience:** 3+ years
**Skills:** Python, asyncio, multiprocessing, concurrent futures, pytest, Kubernetes, ci systems, build systems, Distributed Systems, operating systems, workflow systems, cluster schedulers, containerization, Networking, backend services
**Posted:** 2026-07-27

> Build Python frameworks, orchestration systems, scheduling software, test infrastructure, and developer tools that coordinate complex engineering workflows across machines and clusters. The role requires at least three years of software-engineering experience, strong Python and systems fundamentals, and expertise in concurrency, debugging, and distributed-systems concepts.

## Job Description

## Responsibilities
- Design, develop, test, and maintain Python frameworks and services used to orchestrate engineering workflows across machines and clusters.
- Build reusable abstractions for scheduling, distributed execution, resource management, test execution, workflow planning, and failure recovery.
- Define clear APIs, module boundaries, extension points, and data models that allow infrastructure systems to evolve without becoming difficult to maintain.
- Reason about concurrency, asynchronous execution, multiprocessing, state management, retries, idempotency, cancellation, and partial failures.
- Debug complex issues spanning Python applications, operating systems, processes, filesystems, networking, remote machines, and distributed services.
- Write high-quality automated tests and documentation for reliable, widely reused infrastructure.
- Partner with platform, CI, release, quality, ML systems, and product engineering teams to translate requirements into scalable software designs.

## Requirements
- 3+ years of professional software-engineering experience.
- Strong proficiency in Python and understanding of its strengths, limitations, and runtime behavior.
- Experience designing maintainable software systems, libraries, frameworks, backend services, or developer-facing APIs.
- Good judgment around software architecture, abstraction boundaries, design patterns, extensibility, and long-term maintainability.
- Understanding of concurrency concepts, including processes, threads, asynchronous execution, synchronization, and shared state.
- Foundational understanding of operating systems, including processes, signals, filesystems, resource management, and program execution.
- Foundational understanding of distributed-systems concepts, including retries, timeouts, idempotency, partial failure, coordination, and eventual consistency.
- Strong debugging and problem-solving skills, including forming hypotheses, gathering evidence, and working independently through unfamiliar systems.

## Nice-to-haves
- Experience with Python concurrency technologies such as `asyncio`, `multiprocessing`, `concurrent.futures`, or event-driven systems.
- Experience building orchestration engines, workflow systems, schedulers, distributed job runners, or control-plane software.
- Experience developing test infrastructure or extensions for frameworks such as `pytest`.
- Familiarity with CI systems, build systems, release infrastructure, or developer-productivity tooling.
- Experience with Kubernetes, containerized environments, cluster schedulers, or remote execution systems.
- BS/MS in Computer Science or a related field, or equivalent practical experience.

## Benefits
- Work on a breakthrough AI platform beyond the constraints of GPUs.
- Opportunities to publish and open-source cutting-edge AI research.
- Work on a high-performance AI supercomputer.
- Startup vitality with job stability.
- A non-corporate work culture that respects individual beliefs.
- Continuous learning, growth, and support in an inclusive work environment.

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**Canonical:** https://hotfix.jobs/jobs/d6eb56ed-658a-4a5e-9c46-63129a2b1c7d