About the role
Who We Are
Gatik is in the business of autonomous freight, and that business is already on the road.
Every day, Gatik’s autonomous trucks move freight for Fortune 50 retailers, grocers and consumer brands across Texas, Arizona, Arkansas and Canada, connecting distribution centers and stores and keeping goods moving. At the heart of it all is the Gatik Driver™, our proprietary Level 4 autonomous driving system, powered by scalable, interpretable AI and engineered to deliver safe, reliable, high-frequency freight operations.
Gatik’s momentum is real. With more than $600 million in contracted revenue and $200 million raised in our August 2026 Series D round, Gatik has taken one of the toughest challenges in autonomous technology and turned it into a proven commercial business.
And the market is paying attention. In 2026, Gatik earned a place on Forbes' America's Best Startup Employers list, Fast Company's World's Most Innovative Companies list and the Inc. 5000 list of America's fastest-growing private companies. The Gatik Driver™ won an Edison Award for Advancements in Autonomous Driving, and Inc. named our Co-founder and Chief Engineer, Apeksha Kumavat, to its Female Founders 500 list.
There's a lot more road ahead, and some of the brightest, most driven minds in autonomous technology are building the next chapter at Gatik. We're taking on hard engineering problems, pushing the limits of what's possible and building on a commercial foundation that's already proven itself in the real world with some of the biggest companies in the world, like PepsiCo and Loblaw. If you're ambitious, love solving problems that matter and want to see your work make a real difference, you'll find plenty to get excited about here.
About the role
We are seeking a Senior AI Infrastructure Engineer to design, build, and scale the high-performance AI platform powering our autonomous driving models. While researchers focus on developing perception, planning, and world models, you will be responsible for the underlying infrastructure that enables distributed training, experiment tracking, and seamless model deployment. You will bridge the gap between research and production, ensuring our AI stack is scalable, resilient, and highly efficient
This role is onsite 5 days a week at our Santa Clara, CA office!
What you'll do • Distributed Training & ML Systems Support • Scale Research Workloads: Enable researchers to scale complex models (VLA, World Models) across multi-node setups using PyTorch Distributed, and Ray Train. • Performance Optimization: Architect and optimize multi-GPU setups, ensuring efficient model parallelism and data parallelism techniques across H100/A100 clusters. • Networking & Hardware Tuning: Optimize low-level communication (e.g., NCCL tuning, InfiniBand, or RoCE v2) to minimize latency for 3D Gaussian Splatting (3DGS) and large-scale training. • Intelligent Resource Scheduling: Optimize hardware utilization and cost-efficiency through Kubernetes-native GPU scheduling (NVIDIA GPU Operator, KubeFlow). • Inference Performance Engineering: Deploy and scale optimized model artifacts using TensorRT, ONNX Runtime, and Triton Inference Server, fine-tuning pipelines for both real-time and batch processing • Agentic Infrastructure & Automation • Self-Healing AI Infrastructure: Architect and deploy Autonomous AI Agents (LangGraph, CrewAI, or AutoGen) to monitor GPU cluster health, enabling automated real-time triage of hardware failures and NCCL timeouts. • Agentic DevOps & CI/CD: Develop agent-driven automation, such as Agentic PR Reviewers for infrastructure code and AI agents that proactively suggest model-specific Kubernetes resource optimizations. • Agentic Data Curation: Support researchers in building "Data Machines" where AI agents autonomously curate, label, and verify high-priority edge cases from raw data. • Model Management & Lifecycle (MLOps) • Automated Lifecycle Management: Design and maintain ML infrastructure leveraging MLFlow, Argo Workflows, and Kubernetes to automate the end-to-end model lifecycle. • Experiment & Model Tracking: Integrate feature stores and experiment tracking systems to provide a robust system of record for every model iteration. • Deployment Strategies: Implement robust serving mechanisms, including A/B testing, shadow deployments, and rollback mechanisms • Cloud-Native Foundations & Data Integration • Infrastructure as Code: Drive the "Everything as Code" philosophy using Terraform and Helm. • Data Pipelines: Collaborate with data teams to scale ETL pipelines using Apache Airflow, Kafka, and Spark for large-scale dataset management. ○ • Integrated Data Factories: Collaborate with data engineering teams to scale high-bandwidth ETL pipelines using Apache Airflow, Kafka, and Spark, ensuring seamless data flow from raw sensor logs to optimized storage in S3, GCS, or Delta Lake • Monitoring & Observability • System Metrics: Define and track key ML system metrics, including training convergence, latency, throughput, and drift detection. • Infrastructure Health: Maintain deep visibility into platform health using Prometheus, Grafana, OpenTelemetry, and ELK Stack. • Deep Stack Observability: Develop comprehensive monitoring using Prometheus, Grafana, and OpenTelemetry to track low-level infrastructure health alongside high-level ML metrics like training convergence and throughput. • AI-Specific Metrics & Drift: Define and monitor critical ML system KPIs, including model latency, inference throughput, and feature drift detection
What we're looking for • Experience: 5+ years in ML infrastructure, MLOps, or DevOps supporting high-scale compute environments. • ML Expertise: Deep understanding of multi-GPU training strategies (FSDP, DeepSpeed, Ray Train) and high-performance networking (NCCL, InfiniBand). • Infrastructure Automation: Mastery of Kubernetes, Terraform, and Helm, with a focus on GPU-native orchestration. • AI Agent Frameworks: Proven experience building or supporting Agentic Workflows for infrastructure or data automation (e.g., using LLMs to drive DevOps tasks). • Platform Mastery: Expertise in MLFlow, Argo Workflows, and Kubernetes. • Containerization: Strong experience with Docker, Kubernetes, and Helm. • Data & CI/CD: Proficiency in Apache Airflow, Kafka, Spark, and GitOps automation. • Core Skills: Proficiency in Python and Bash; experience with Go or Rust is a plus
Bonus Qualifications • Advanced AI Protocols: Familiarity with the Model Context Protocol (MCP) to standardize how AI agents interact with internal databases and orchestration APIs. • Hybrid & Physical AI: Experience in hybrid cloud and on-prem GPU cluster management for Physical AI workloads (e.g., 3DGS, World Models). • Agentic Observability: Experience utilizing LLMs for semantic monitoring and log analysis to detect complex distributed system failures that traditional threshold-based alerts miss.
Salary Ranges - $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.
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