Software Engineer (Python)

Location: Hybrid, based at hirify.global offices in the US or Canada

Company

hirify.global builds specialized AI hardware and software infrastructure for high-speed model training and inference.

What you will do

• Design, develop, test, and maintain Python frameworks and services for engineering workflows across machines and clusters.
• Build abstractions for scheduling, distributed execution, resource management, workflow planning, test execution, and failure recovery.
• Define APIs, module boundaries, extension points, and data models for maintainable infrastructure systems.
• Reason about concurrency, asynchronous execution, multiprocessing, state management, retries, idempotency, cancellation, and partial failures.
• Debug issues spanning Python applications, operating systems, filesystems, networking, remote machines, and distributed services.
• Partner with platform, CI, release, quality, ML systems, and product engineering teams to develop scalable software designs.

Requirements

• 3+ years of professional software-engineering experience.
• Strong Python proficiency and understanding of its runtime behavior, strengths, and limitations.
• Experience designing maintainable software systems, libraries, frameworks, backend services, or developer-facing APIs.
• Understanding of concurrency, operating-system fundamentals, and distributed-systems concepts.
• Strong debugging and independent problem-solving skills.
• Ability to work in a hybrid arrangement from the US or Canada.

Nice to have

• Experience with 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 pytest extensions.
• Familiarity with CI, build, release, developer-productivity, Kubernetes, containerized, cluster-scheduling, or remote-execution systems.
• BS/MS in Computer Science or a related field, or equivalent practical experience.

Culture & Benefits

• Work on a specialized AI platform designed to go beyond GPU constraints.
• Opportunities to publish and open-source AI research.
• Work with a high-performance AI supercomputer platform.
• Startup vitality combined with job stability.
• Non-corporate culture focused on individual beliefs, inclusion, learning, growth, and support.