Senior Software Engineer, ML Infrastructure Platform (AI)

Location: Mountain View, California, United States

Salary: $193,930–$291,150 base pay annually, plus performance bonus, equity, and benefits.

Company

hirify.global develops Level 4 autonomous driving technology and a universal autonomy platform for robotaxis, logistics fleets, personal vehicles, and other mobility applications.

What you will do

• Contribute to training infrastructure across multiple accelerator generations, clusters, scheduling systems, and orchestration layers.
• Design and operate large-scale batch and streaming data pipelines, including storage layouts and high-throughput data generation.
• Build agentic-first ML workflows connecting data generation, model training, and evaluation.
• Develop introspectable, reproducible workflows that autonomy teams can run and extend.
• Own reliability for critical training and release pipelines through instrumentation, alerting, on-call practices, and incident response.

Requirements

• BS, MS, or PhD in Computer Science, Electrical Engineering, or a related field, plus 3+ years of relevant experience.
• Strong proficiency in Python and comfort with C++, Go, or a similar systems language.
• Hands-on experience operating production infrastructure on Kubernetes.
• Solid distributed-systems fundamentals, including performance, failure-mode, and reliability analysis.
• Ownership mindset and experience improving operational maturity through monitoring, alerting, and runbooks.
• Work location: Mountain View, California, United States.

Nice to have

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

Culture & Benefits

• Annual performance bonus and equity eligibility.
• Competitive benefits package.
• Inclusive workplace focused on diversity, psychological safety, and equal opportunity.