Software Engineer, ML Infrastructure Platform (AI)

Location: Mountain View, California, United States

Salary: $160,360–$240,540 base pay per year, plus annual performance bonus, equity, and benefits.

Company

hirify.global is a physical AI company developing Level 4 autonomous driving technology and a universal autonomy platform for vehicles and mobility services.

What you will do

• Contribute to training infrastructure across multiple generations of accelerators, including multi-cluster scheduling and orchestration.
• Design and operate large-scale batch and streaming data pipelines, storage layouts, and high-throughput data generation systems.
• Build agentic-first ML workflows covering data generation, training, and evaluation with reproducible and introspectable pipelines.
• Own reliability for critical training and release pipelines through instrumentation, alerting, runbooks, on-call practices, and incident response.

Requirements

• BS, MS, or PhD in Computer Science, Electrical Engineering, or a closely related field, plus at least 1 year of relevant experience.
• Strong proficiency in Python and comfort with C++, Go, or a similar systems language.
• Hands-on experience running production infrastructure on Kubernetes.
• Solid distributed-systems fundamentals, including performance, failure-mode, and reliability analysis.
• Ownership mindset and willingness to improve technical and operational standards through monitoring, alerting, and operational maturity practices.

Nice to have

• Strong working knowledge of GCP.
• Experience building large-scale data-generation pipelines and Kubernetes-native orchestration for ML workloads.
• Depth in GPU and distributed-training internals, including NCCL and collective communication.
• Experience with GPU and training observability tools, infrastructure cost reduction, and reliability improvements.

Culture & Benefits

• Annual performance bonus, equity, and a competitive benefits package.
• Commitment to diversity, inclusion, psychological safety, and equal employment opportunity.