Senior Software Engineer (ML Infrastructure)

Location: Mountain View, California (HQ)

Salary: $193,930–$291,150 per year

Company

hirify.global is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles and markets.

What you will do

• Scale automated infrastructure-as-code pipelines to manage thousands of GPU/CPU nodes.
• Design and optimize workload orchestration to maximize hardware utilization for distributed training.
• Build robust ETL pipelines for petabyte-scale sensor and telemetry data.
• Implement feature caching and storage solutions to ensure low-latency access to data.
• Contribute to a unified ML platform that abstracts complex cloud infrastructure for researchers.

Requirements

• 4+ years of professional experience in ML Infrastructure, Backend Platform Engineering, or Distributed Systems.
• Deep familiarity with Infrastructure-as-Code tools such as Terraform, Pulumi, or Crossplane.
• Hands-on experience with large-scale orchestrators like Kubernetes, Ray, or Slurm.
• Proficiency in distributed processing frameworks such as Apache Spark or Apache Beam.
• Strong understanding of distributed systems, networking, and storage bottlenecks.

Nice to have

• Active contributor to open-source projects in the MLOps or Cloud-Native ecosystem.
• Experience with high-performance storage systems like Lustre or Ceph.
• Knowledge of cost-optimization strategies for large-scale GPU clusters in public clouds.

Culture & Benefits

• Competitive base pay with annual performance bonus and equity.
• Comprehensive benefits package.
• Commitment to a diverse, inclusive workplace with a focus on psychological safety.
• Opportunity to work on cutting-edge Level 4 autonomous driving technology.