Senior AI Infrastructure Engineer (Autonomous Vehicles)

Location: Onsite five days a week at the Santa Clara, California office

Salary: $180,000–$240,000 per year

Company

hirify.global develops Level 4 autonomous transportation technology for short-haul, B2B middle-mile logistics and operates commercially deployed autonomous trucks.

What you will do

• Design, build, and scale the AI infrastructure supporting perception, planning, world-model, and VLA research workloads.
• Enable distributed multi-node and multi-GPU training using PyTorch Distributed, FSDP, DeepSpeed, and Ray Train.
• Optimize GPU clusters, networking, and inference using NVIDIA hardware, NCCL, InfiniBand or RoCE v2, TensorRT, ONNX Runtime, and Triton.
• Develop agentic infrastructure automation for cluster monitoring, failure triage, CI/CD, resource optimization, and data curation.
• Implement MLOps workflows for experiment tracking, model lifecycle management, A/B testing, shadow deployments, and rollbacks.
• Build cloud-native data pipelines and observability systems with Airflow, Kafka, Spark, Prometheus, Grafana, OpenTelemetry, and ELK.

Requirements

• 5+ years of experience in ML infrastructure, MLOps, or DevOps for high-scale compute environments.
• Deep expertise in multi-GPU training, high-performance networking, Kubernetes, Terraform, and Helm.
• Experience with MLflow, Argo Workflows, Docker, and GPU-native orchestration.
• Proven experience building or supporting agentic workflows for infrastructure or data automation.
• Proficiency in Apache Airflow, Kafka, Spark, GitOps automation, Python, and Bash.
• Ability to work onsite five days per week in Santa Clara, California.

Nice to have

• Experience with Go or Rust.
• Familiarity with the Model Context Protocol.
• Experience managing hybrid cloud and on-premises GPU clusters for physical AI workloads.
• Experience using LLMs for semantic monitoring and distributed-system log analysis.

Culture & Benefits

• Collaborative environment focused on safe autonomous transportation and supply-chain resilience.
• Commitment to diversity, inclusion, respect, agility, and professional growth.
• Opportunity to work on proprietary software and hardware for commercially deployed Level 4 autonomous trucks.