Libraries Engineer (AI)

Location: Remote roles are listed for the United States, Canada, and Europe; one role is listed as hybrid in the United States.

Company

hirify.global is building an AI platform and rebuilding AI infrastructure across the stack.

What you will do

• Work on AI infrastructure across libraries, compilers, kernels, inference, hardware enablement, and developer tooling.
• Build and improve cloud and multi-cloud inference systems.
• Develop software for AI optimization, graph compilation, drivers, and hardware bring-up.
• Contribute to open-source communities and advocate for MAX Inference & Serving and Mojo.
• Support product development and engineering management across the AI platform.

Requirements

• Relevant experience in software engineering, AI infrastructure, compilers, inference systems, hardware enablement, product management, or developer advocacy, depending on the role.
• Technical roles may involve libraries, compiler engineering, AI kernels, graph compilers, drivers, inference optimization, cloud systems, or tooling.
• Engineering interviews may include coding and system design; product interviews may cover industry knowledge and product strategy.

Culture & Benefits

• Flexible remote and hybrid work options are available across listed roles.
• Medical, dental, and vision coverage.
• Strong compensation and equity packages.
• Generous parental leave and paid vacation.
• Retirement plans with company contributions and corporate perks.
• Emphasis on work-life balance, flexibility, and time off.

Hiring process

• Application review, typically within two weeks.
• Recruiting call followed by a hiring manager interview.
• Team interviews, a culture interview, and an offer walkthrough when applicable.