About the role
We are seeking a Senior Cloud Infrastructure Engineer to architect and manage the large-scale compute and data infrastructure powering our autonomous driving stack. While researchers develop perception, planning, and world models, your mission is to build the high-performance systems and pipelines that make their work possible. You will be the backbone of our AI platform, ensuring that multi-GPU clusters, distributed training frameworks, and automated workflows are scalable, resilient, and cost-effective.
This role is onsite 5 days a week at our Santa Clara, CA office!
What you'll do
Cloud-Native Orchestration & Kubernetes
Advanced K8s Management: Architect and maintain mission-critical Kubernetes clusters optimized for heavy GPU/TPU workloads.
GPU Scheduling: Implement and optimize Kubernetes-native GPU scheduling (NVIDIA GPU Operator) to ensure maximum hardware utilization.
Infrastructure as Code: Drive the "Everything as Code" philosophy using Terraform, Helm, and cloud-native tools.
Self-Healing Infrastructure: Deploy Autonomous AI Agents (LangGraph, CrewAI) to monitor cluster health and enable automated triage of hardware failures and NCCL timeouts.
Data Engineering & CI/CD Pipelines
Autonomy Data Pipelines: Build large-scale pipelines using Apache Airflow, Kafka, and Spark to process raw sensor data into training-ready formats.
GitOps: Implement robust GitOps workflows using ArgoCD, Gitlab CI/CD to automate the deployment of both infrastructure and model artifacts.
Observability: Maintain deep visibility into infrastructure health and model serving performance using Prometheus, Grafana, and OpenTelemetry.
Agentic DevOps & CI/CD: Develop agent-driven workflows to optimize the developer experience, such as automated PR reviewers for Terraform and AI agents that proactively suggest Kubernetes resource-limit adjustments based on model training telemetry.
Model Management & Lifecycle (MLOps)
Experiment & Model Tracking: Design and maintain MLFlow and feature store integrations to provide a robust system of record for every model iteration.
Workflow Automation: Build complex, automated model lifecycles using Airflow and Kubernetes to streamline the transition from training to simulation.
High-Performance Serving: Support the deployment of models into simulation and production environments using Triton Inference Server, Ray Serve, and ONNX Runtime.
Distributed Training & ML Systems Support
Training Systems Support: Enable researchers to scale models (VLA, World Models) across multi-node setups using PyTorch Distributed (TorchElastic), Ray Train, and Horovod.
Networking Optimization: Optimize low-level communication (e.g., NCCL tuning, InfiniBand, or RoCE v2) to minimize latency for 3D Gaussian Splatting (3DGS) and large-scale training.
Hardware-Aware Orchestration: Partner with researchers to fine-tune performance across multi-node GPU clusters for FSDP and DeepSpeed workloads.
What we're looking for
Experience: 5+ years in Cloud Infrastructure, DevOps, or MLOps supporting high-scale compute environments.
Kubernetes Mastery: Deep expertise in K8s, Helm, and container orchestration.
Orchestration & Tooling: Strong background in Apache Airflow, Argo Workflows, MLFlow, and Terraform.
Distributed Systems: Practical experience supporting frameworks like Ray and PyTorch Distributed.
Core Skills: Proficiency in Python, Bash scripting, and a solid understanding of IAM/RBAC.
Bonus Qualifications
Distributed Training Expertise: Deep understanding of FSDP, and DeepSpeed.
AI Agent Orchestration: Experience building Agentic Workflows (LangGraph, AutoGen) for infrastructure automation or data curation.
Advanced Protocols: Familiarity with Model Context Protocol (MCP) to connect AI agents with infrastructure tools.
Salary Range - $180,000- $240,000
More about Gatik
Founded in 2017, Gatik has grown into a commercial force in autonomous freight, operating trucks daily in live customer networks across the United States and Canada. We're headquartered in Santa Clara, California, but our impact is felt on the roads and in the supply chains that keep essential goods moving for some of the biggest companies in North America.
Our trucks do some of the most demanding work in freight, running high-frequency, time-sensitive routes between distribution centers and stores, where reliability matters every single day. For our customers, that means more capacity, better service and products arriving where they need to be, when they need to be there.
Behind it all is AI-first technology built from the ground up for autonomous trucking, capable of navigating highways and surface streets and tackling the complexity of real-world logistics at scale.
Visit Gatik for more company information and Careers at Gatik for more open roles.
Notable News
For the latest company news, visit the Gatik newsroom.
Recent media coverage
TechCrunch: Self-driving truck startup Gatik raises $200M following PepsiCo deal
Reuters: Gatik secures $200 million in funding as autonomous freight market accelerates
Bloomberg: Driverless Trucks Can Save Lives on America's Roads
PepsiCo website: PepsiCo and Gatik announce multi-year agreement to deploy autonomous freight in North America
Wall Street Journal: Driverless Trucks Are Here - and They’re Delivering Bags of Doritos
CBS News: Pepsi deploys self-driving delivery trucks
Bloomberg: Autonomous Trucking Firm Gatik Inks Contracts Worth $600 Million
Forbes: Hundreds’ Of Gatik Robot Delivery Trucks Headed For U.S. Roads
CNBC-TV18: No more test runs: Gatik says driverless trucks are now a real, money-making business
Forbes: Gatik And Loblaw Announce Largest Commercial Deployment Of AV Trucks
Taking care of our team
At Gatik, we connect people of extraordinary talent and experience to an opportunity to create a more resilient supply chain and contribute to our environment’s sustainability. We are diverse in our backgrounds and perspectives yet united by a bold vision and shared commitment to our values. Our culture emphasizes the importance of collaboration, respect and agility.
We at Gatik strive to create a diverse and inclusive environment where everyone feels they have opportunities to succeed and grow because we know that together we can do great things. We are committed to an inclusive and diverse team. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.
E-Verify Notice: By submitting your application, you acknowledge that Gatik participates in the U.S. Department of Homeland Security E-Verify program.
