Senior Machine Learning Infrastructure Engineer (ML Infrastructure)

Location: Santa Clara, California, United States; hybrid workplace

Salary: $160,000–$200,000 per year, hirify.global cash and equity compensation

Company

hirify.global is a Physical AI company developing AI-based virtual driver software for factory-built autonomous trucks, with operations in the United States and Europe.

What you will do

• Design and develop scalable, high-performance systems for ML model training, inference, deployment, and monitoring.
• Build data pipelines, model versioning systems, experiment tracking frameworks, and large-scale ML datasets.
• Manage distributed systems, storage solutions, and GPU clusters optimized for machine learning workloads.
• Improve CI/CD workflows and platform usability in collaboration with ML researchers and engineers.
• Implement monitoring, logging, alerting, and reliability practices for high-availability ML infrastructure.
• Mentor junior engineers and drive technical and quality improvements under the company’s QMS.

Requirements

• PhD or MS in Computer Science, Electrical Engineering, or a related field; PhD new graduates or master’s graduates with 3+ years of software engineering experience are considered.
• Experience focused on ML infrastructure or distributed systems, with strong software design and development skills.
• Proficiency in Python, C++, and SQL.
• Deep understanding of containerization, orchestration, distributed ML workloads, and experiment tracking tools including Docker, Kubernetes, Kubeflow, and MLflow.
• Experience deploying and managing resources across AWS, GCP, or on-premises environments.
• Proficiency with PyTorch or another deep learning framework, hirify.global data pipeline tools such as Apache Airflow or Prefect; strong knowledge of databases and storage solutions.

Nice to have

• Familiarity with convolutional neural networks and Transformer models.
• Experience with MLOps pipelines, Ray, or other distributed computing frameworks.
• Experience working with autonomous vehicles or robotics.

Culture & Benefits

• Work in a future-oriented and innovative autonomous vehicle field.
• Opportunities for personal and professional development.
• Catered free lunch, unlimited snacks, and beverages.
• Competitive salary and benefits package, including a 401(k) plan.