Software - ML & Cloud Infrastructure (AI)

Location: On-site in South San Francisco, SF Bay Area; legally authorized to work in the United States required

Company

hirify.global combines robotics and AI to autonomously perform labor-intensive construction tasks, verification, and planning using attachments for common construction equipment.

What you will do

• Architect and deploy scalable cloud infrastructure for AI and data pipelines.
• Build distributed pipelines for data ingestion, preprocessing, training, and evaluation.
• Deploy monitoring and CI/CD pipelines for production ML systems.
• Enable large-scale evaluation of AI models and autonomy software through cloud-based metrics and simulations.
• Optimize performance, I/O, and GPU utilization while building tooling and dashboards for experimentation, orchestration, and visualization.
• Integrate cloud tooling into workflows across engineering teams.

Requirements

• Degree in computer science, a related engineering discipline, or equivalent experience.
• 4+ years of experience deploying high-performance ML pipelines in production.
• Proficiency in Python and familiarity with C++ or Go.
• Experience with PyTorch and data-loading workflows using formats such as Parquet, HDF5, or TFRecord.
• Experience deploying on AWS, GCP, or Azure and using Docker, Kubernetes, and Airflow.
• Must be legally authorized to work in the United States. Ability to take ownership with light supervision and strong problem-solving skills required.

Culture & Benefits

• Early-stage role with broad ownership and direct impact on product evolution.
• Fast-paced startup environment requiring flexibility across multiple responsibilities.
• Work on robotics and AI systems deployed in demanding outdoor infrastructure environments.