Software Engineering Intern (Fall 2026)

Haladir; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Haladir is seeking a fast, full-stack engineer to own problems end to end, from schema to interface, and ship production software using AI coding tools. You will build across data infrastructure and integrations with WMS/TMS/OMS, spend time at operator sites, and translate operational constraints into product decisions while relocating to San Francisco.

This role requires strong judgment, the ability to travel to customer sites, and a willingness to work in a fast-paced startup environment at

Qualifications

• Own a problem end to end from schema to interface.
• Ship meaningful production software using AI coding tools.
• Make fast, correct tradeoffs with strong judgment.

Responsibilities

• Build and deploy Haladir’s products end to end across frontend and backend.
• Translate operator conversations into concrete product decisions.
• Collaborate with data infra, and integrate with WMS, TMS, OMS.

Skills

Full-stack ownership

AI coding tools

End-to-end execution

Product sense

US work authorization

Relocation to SF

Education

Bachelor’s degree

Job description

Role Description:

You will help build and deploy Haladir’s products end to end. The stack spans data infrastructure and integrations with the systems operators already use, including WMS, TMS, and OMS, through the decisioning layer and the interfaces warehouse teams use every day.

You will ship across frontend and backend, potentially spend time at operator sites understanding how decisions are actually made on the floor, and turn those operational constraints into product. We move quickly, and AI coding tools are a core part of how we build. We expect you to use them deeply and effectively.

Required Qualifications:

• Exceptional full-stack engineer who can own a problem end to end, from schema to interface
• Uses AI coding tools as a core part of their development workflow and has shipped meaningful production software with them
• Fast and efficient without sacrificing correctness, with strong judgment on what to build and what to skip
• Strong product sense and the ability to turn an operator conversation into a product decision without needing a detailed spec
• Willingness to relocate to San Francisco and travel to potential customer sites
• US work authorization

Preferred Qualifications:

• Currently enrolled or finished Bachelor’s degree
• Early-stage startup experience
• Experience integrating with enterprise systems such as WMS, TMS, ERP, or OMS
• Experience with optimization algorithms, operations research, or decision-making systems
• US citizen