Software Integration Ninja

Location

Location: Hybrid schedule with in-office presence three days per week. Fully remote work is not available. Office locations: Sunnyvale, CA or Toronto, ON.

Company

hirify.global builds AI hardware and the software stack for ultra high-speed AI training and inference.

What you will do

• Turn new inference ideas and features into integrated, working capabilities across the hirify.global platform.
• Take high-value projects from zero to one—from incomplete ideas or prototypes to working, validated capabilities.
• Integrate and validate software components spanning AI frameworks, runtime, compiler, kernels, distributed systems, and hardware.
• Drive cross-component projects from problem definition through integration, validation, and release readiness.
• Collaborate with software and hardware engineers to make co-design trade-offs and resolve system-level issues.
• Investigate and debug difficult failures across large-scale AI workloads, distributed software, infrastructure, and hardware boundaries.

Requirements

• Strong software-engineering fundamentals and programming ability in Python, C++, Go, or a similar language.
• Ability to break down ambiguous technical problems, form hypotheses, gather evidence, and drive issues to resolution.
• Hands-on experience building or debugging software systems (professional work, internships, research, academic projects, open source, or equivalent).
• Curiosity about how complex systems behave across component boundaries.
• Willingness to read unfamiliar code, learn new layers of the stack, and take ownership beyond a narrowly defined area.
• Hybrid requirement: in-office presence three days per week; fully remote work is not available.

Nice to have

• Experience in software/hardware co-design or other complex systems (hardware accelerators, compilers, kernels, runtimes, low-level systems).
• Experience debugging complex systems, distributed software environments, or large-scale compute clusters.
• Experience with AI infrastructure, model deployment, LLMs, or multimodal workloads.
• Exposure to performance debugging, profiling, observability, or failure analysis.
• Familiarity with microservices, containers, cluster orchestration, cloud infrastructure, or high-performance computing.

Culture & Benefits

• Accelerated and dynamic cadence with focused daily syncs and rapidly changing priorities.
• Ownership when the path is unclear, with decisions made using incomplete information.
• Bias for action: cut through unnecessary ceremony and turn learnings into automation, diagnostics, documentation, and repeatable practices.
• Team multiplier mindset: raise pace, clarity, and effectiveness of teammates.
• Startup vitality with job stability and a simple, non-corporate work culture.