Full-Time
Senior AI Infrastructure Engineer
Gatik AI
201-500 employees
Autonomous middle-mile logistics for B2B
Compensation Overview
$180k - $240k/yr
Santa Clara, CA, USA
In Person
On-site five days per week in Santa Clara, California.
 DevOps & Infrastructure |
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- 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
- 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.
- Distributed Training & ML Systems Support: Performance Optimization: Architect and optimize multi-GPU setups, ensuring efficient model parallelism and data parallelism techniques across H100/A100 clusters.
- Distributed Training & ML Systems Support: 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.
- Distributed Training & ML Systems Support: Intelligent Resource Scheduling: Optimize hardware utilization and cost-efficiency through Kubernetes-native GPU scheduling (NVIDIA GPU Operator, KubeFlow).
- Distributed Training & ML Systems Support: 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 Infrastructure & Automation: 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 Infrastructure & Automation: 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.
- Model Management & Lifecycle (MLOps): Experiment & Model Tracking: Integrate feature stores and experiment tracking systems to provide a robust system of record for every model iteration.
- Model Management & Lifecycle (MLOps): 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.
- Cloud-Native Foundations & Data Integration: Data Pipelines: Collaborate with data teams to scale ETL pipelines using Apache Airflow, Kafka, and Spark for large-scale dataset management.
- Cloud-Native Foundations & Data Integration: 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.
- Monitoring & Observability: Infrastructure Health: Maintain deep visibility into platform health using Prometheus, Grafana, OpenTelemetry, and ELK Stack.
- Monitoring & Observability: 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.
- Monitoring & Observability: AI-Specific Metrics & Drift: Define and monitor critical ML system KPIs, including model latency, inference throughput, and feature drift detection
- 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.
- Bonus Qualifications: Advanced AI Protocols: Familiarity with the Model Context Protocol (MCP) to standardize how AI agents interact with internal databases and orchestration APIs.
- Bonus Qualifications: Hybrid & Physical AI: Experience in hybrid cloud and on-prem GPU cluster management for Physical AI workloads (e.g., 3DGS, World Models).
- Bonus Qualifications: Agentic Observability: Experience utilizing LLMs for semantic monitoring and log analysis to detect complex distributed system failures that traditional threshold-based alerts miss.
Gatik AI provides autonomous middle-mile logistics for B2B delivery under an Autonomous Transportation as a Service (ATaaS) model. It uses its Level 4 autonomous system, Gatik Carrier, to move freight between distribution centers and retail locations on known, short-haul routes, in both highway and urban environments. The service is designed to be integrated into customers’ supply chains to boost reliability, cut costs, and improve sustainability, while prioritizing safety through repeatable routes and tight collaboration with regulators and communities. Differences from competitors include a focus on the middle mile and B2B logistics, a proprietary Level 4 vehicle system, and a service model that scales through integration with existing supply chains. The goal is to provide safe, cost-efficient, and sustainable autonomous transportation that enhances supply chain efficiency for clients like Tyson Foods and Kroger.
Company Size
201-500
Company Stage
Late Stage VC
Total Funding
$151.7M
Headquarters
Mountain View, California
Founded
2017
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Simplify's Take
What believers are saying
- June 2026 PepsiCo deployment proves commercial scale inside a demanding consumer-goods network.
- Gatik joined NVIDIA Halos on March 16, 2026, strengthening safety validation and enterprise credibility.
- Ryder, Isuzu, and PepsiCo partnerships support fleet expansion toward hundreds of trucks by year-end.
What critics are saying
- PepsiCo and one-shipper economics concentrate revenue; contract loss would cripple 2026 growth.
- Teamsters opposition, public safety scrutiny, and FMCSA/NHTSA review invite restrictions before 2027 scaling.
- Autonomous trucking still faces fatal software, cybersecurity, and recall risk that can halt driverless fleets.
What makes Gatik AI unique
- Gatik runs driverless middle-mile routes for PepsiCo across Texas, Arizona, Arkansas since June 2026.
- Gatik combines freight-only autonomy with Isuzu and NVIDIA, targeting South Carolina mass production in 2027.
- Gatik claims $600 million contracted revenue and 60,000 driverless orders since mid-2025.
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Benefits
Very competitive salaries and stock options
Medical, dental and vision benefits which go above and beyond
Company building events throughout the year, including an annual company retreat
Pet friendly offices
Catered lunches and snacks throughout the week
Stunning, spacious offices in the US and Canada
Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
↑ 0%2 year growth
↑ 0%PepsiCo has launched a multi-year partnership with autonomous trucking company Gatik, deploying fully driverless freight operations across Texas, Arizona and Arkansas. The deployment, servicing around 250 retail locations without safety drivers, represents the largest commercial autonomous freight rollout to date. The initiative reinforces PepsiCo's technology-led productivity strategy, complementing its recent AWS cloud and AI alliance. Together, these efforts aim to digitise planning, inventory and fulfillment whilst supporting margins through automation. However, analysts note this doesn't fundamentally alter key investment risks around aggressive cost-cutting potentially constraining future growth flexibility. Simply Wall St Community members value PepsiCo between $120 and $268 per share, reflecting divergent views on whether productivity gains outweigh risks from excessive cost reduction programmes.
Truckers replaced by driverless delivery as automation revolution begins. June 08, 2026 12:37 PM ET Font Size: Dozens of driverless trucks are hitting the road as industries rush toward automation. PepsiCo is partnering with autonomous vehicle startup Gatik to rollout a fleet of 35 driverless trucks, Wall Street Journal reported Monday. It's reportedly the first time a U.S. company disclosed using autonomous trucks on public highways. (RELATED: Self-Driving Cars In 'Difficult Driving Situations' Are Guided By Random Filipinos Overseas, Company Confirms) The 26,000-pound vehicle featured by WSJ is one of many driverless trucks designed by Gatik with embedded cameras, radar, and lidar technology. The startup secured $600 million in revenue through multiyear contacts with multiple companies, according to WSJ. "These operations that we're running today are real," PepsiCo Senior Vice President of Supply Chain Jim Farrell said. "They are running in multiple markets in a live network, not like some experimental test environment." PepsiCo and Gatik did not immediately respond to the Daily Caller News Foundation's request for comment. Some of PepsiCo's thousands of truckers are represented by unions such as the International Brotherhood of Teamsters, which have historically opposed the autonomous vehicle industry. Teamsters reportedly spent over $2,500,000 on lobbying in 2025. "The Teamsters Union strongly opposes the recently announced partnership between PepsiCo and Gatik. Driverless trucks are a clear and present danger to good-paying jobs and the safety and infrastructure of our local communities," a Teamsters spokesperson told the DCNF. "Americans are increasingly and vocally opposed to the rollout of these reckless machines. Delivery drivers at PepsiCo and their families rely on the good union wages and benefits of this core American trade that companies like Gatik are trying to destroy. The Teamsters will continue to fight for our members and stand up to greedy corporations putting profits over people." The autonomous vehicle industry has previously struggled with safety issues. Waymo recalled over 1,200 self-driving taxis following various collisions in May 2025, and Tesla recalled over 360,000 self-driving cars in Feb. 2023. Farrell said the driverless trucks' "on-time arrival performance" reached 99%, minus uncontrollable variables like traffic and weather, according to WSJ. The Federal Highway Administration suggests that shippers and receivers should expect truckers to arrive on-time approximately 95% of the time. Multiple other industries are rushing to use artificial intelligence for automation. For example, Amazon founder Jeff Bezos reportedly discussed raising $100 billion to purchase manufacturing companies and use AI to streamline their processes through "Project Prometheus" last March. Big Tech's AI spending will likely hit $5.3 trillion in fiscal years 2025 through 2030, Goldman Sachs projected on June 3. All of this follows Pew Research Center's Sept. 2025 survey estimating that over half of Americans are more worried than excited for AI's ever-growing role in everyday life. All content created by the Daily Caller News Foundation, an independent and nonpartisan newswire service, is available without charge to any legitimate news publisher that can provide a large audience. All republished articles must include its logo, its reporter's byline and their DCNF affiliation. For any questions about its guidelines or partnering with The Daily Caller, Inc., please contact [email protected].
PepsiCo, Gatik launch autonomous trucking deployment in North America. PepsiCo is expanding its use of autonomous trucks through a new multi-year partnership with autonomous freight technology company Gatik, a move the companies describe as the largest commercial deployment of driverless freight transportation to date. The agreement builds on an existing relationship that began in 2022 and will see Gatik continue operating driverless trucks within PepsiCo's regional distribution networks across Texas, Arizona and Arkansas. The companies say the deployment will help strengthen PepsiCo's supply chain by improving delivery consistency, adding transportation capacity, and supporting customer service across its North American food and beverage operations. "Serving our vast network of customers requires a supply chain that is safe, reliable, and built for the future," said Jim Farrell, senior vice president of supply chain at PepsiCo. "Gatik is already operating inside our networks and brings the autonomous freight technology, commercial experience, and scale we need to strengthen service, add capacity, and move products more consistently for our customers." The partnership focuses on regional freight movements between facilities, a segment of the supply chain characterized by frequent, time-sensitive deliveries. Gatik's autonomous trucks are designed to handle both highway and surface street operations and can adapt routes based on changing demand and distribution center activity. According to the companies, the technology allows PepsiCo to add or remove stops and adjust delivery plans without major operational changes, helping improve on-time performance while increasing network flexibility. "Autonomous trucking has reached commercial scale when it operates inside one of the most demanding supply chains on the planet," said Gautam Narang, co-founder and CEO of Gatik. "That is what Gatik is doing with PepsiCo. Our autonomous trucks are already moving products every day across Texas, Arizona, and Arkansas, and this partnership is proof that Gatik is becoming central to how the world's largest companies move goods." Gatik says it currently achieves more than 98% on-time delivery performance across its operations. The company specializes in middle-mile freight transportation, moving goods between manufacturing facilities, distribution centers, and retail locations. trucknews.com is the trucking industry's leading information source, delivering vital insights to fleet executives, operations teams, maintenance personnel, owner-operators, and more. Readers turn to our experienced journalists for award-winning trucking industry news, trends, technical advances, equipment maintenance techniques, and business practices alike. Have your say This is a moderated forum. Comments will no longer be published unless they are accompanied by a first and last name and a verifiable email address. (Today's Trucking will not publish or share the email address.) Profane language and content deemed to be libelous, racist, or threatening in nature will not be published under any circumstances.
PepsiCo and Gatik announce multi-year agreement to deploy autonomous freight in North America. This deployment will bring autonomous trucks into one of the world's largest food and beverage supply chains, accelerating PepsiCo's push to build more innovative, resilient, and responsive transportation networks. PepsiCo and Gatik announced a multi-year strategic partnership to bring autonomous freight into PepsiCo's North America food and beverage supply chain, marking the largest commercial autonomous freight deployment to date. Today, Gatik is already operating for PepsiCo across Texas, Arizona, and Arkansas. PepsiCo products are enjoyed by consumers more than one billion times a day in more than 200 countries and territories around the world. For PepsiCo, the partnership strengthens its supply chain network that makes and moves its food and beverage products across the United States every day. It provides a practical way to improve delivery consistency, add capacity, and support customer service across a complex, high-volume operation. It also marks a major commercial milestone for Gatik, which is now delivering autonomous freight at commercial scale inside one of the world's largest and most demanding consumer goods supply chains. "Serving our vast network of customers requires a supply chain that is safe, reliable, and built for the future," said Jim Farrell, Senior Vice President of Supply Chain, PepsiCo. "Gatik is already operating inside our networks and brings the autonomous freight technology, commercial experience, and scale we need to strengthen service, add capacity, and move products more consistently for our customers." The partnership is focused on PepsiCo's regional transportation networks, where products move daily from site to site. These networks are high-frequency, time-sensitive, and essential to keeping products flowing consistently. "Autonomous trucking has reached commercial scale when it operates inside one of the most demanding supply chains on the planet," said Gautam Narang, CEO and Co-Founder of Gatik. "That is what Gatik is doing with PepsiCo. Our autonomous trucks are already moving products every day across Texas, Arizona, and Arkansas, and this partnership is proof that Gatik is becoming central to how the world's largest companies move goods." Gatik's autonomous trucks are designed for end-to-end deliveries across highways and surface streets, with dynamic route orchestration capabilities built for complex regional logistics networks spanning hundreds of pickup and drop-off locations. This enables PepsiCo to modify route plans in response to daily operational needs, including adding or removing stops, responding to shifts in demand, and adapting to activity levels across distribution centers. That flexibility helps PepsiCo reduce variability, improve on-time performance, and add capacity without requiring major changes to its existing operations. Gatik's first deployment with PepsiCo was in 2022 and today, Gatik operates with more than 98% on-time delivery across its operations today. This agreement builds on PepsiCo's experience running one of North America's largest private fleets and brings Gatik's autonomous freight capabilities into real, day-to-day supply chain operations. PepsiCo's approach is grounded in responsible workforce planning and continued investment in its people. PepsiCo and Gatik are focused on adding capacity where it's needed most: high-demand regional networks that are hard to staff and critical to keeping shelves stocked for consumers. Ultimately, it is about supporting PepsiCo's frontline teams with greater flexibility, consistency, and reliability across the transportation network - and ensuring PepsiCo's people grow with the future of the business. Gatik is a leader in autonomous freight. For more information visit www.gatik.ai. Media resources
Gatik joins NVIDIA Halos AI Systems Inspection Lab to support the scaling of driverless freight operations across north america. * Press Releases * March 16, 2026 Mountain View, CA, March 16, 2026 - Gatik, a leader in autonomous trucking, announced it is joining the NVIDIA Halos AI Systems Inspection Lab ecosystem, the first ANSI National Accreditation Board (ANAB) accredited inspection lab for AI-driven physical systems. The move reflects a shared commitment between the two companies at the operational frontier of autonomous trucking. Gatik already operates fully driverless trucks on public roads, day and night, across Texas, Arkansas, and Arizona in the United States and Ontario, Canada. The company completes daily freight deliveries for Fortune 50 retailers and major consumer packaged goods companies, with no human driver or safety observer. Since launching fully driverless operations in 2025, Gatik has been safely operating round-the-clock for multiple customers across Texas, Arkansas, Arizona, and Ontario, Canada, connecting dense regional networks of warehouses and retail stores. That progress, backed by $600 million in contracted revenue and Gatik's plans to scale to hundreds of driverless trucks by the end of 2026, makes it the operating benchmark in autonomous trucking. It also makes Gatik the ideal real-world proving grounds for the NVIDIA Halos framework and for the validation infrastructure needed to scale driverless fleets safely to hundreds of trucks. "We're excited to welcome Gatik to the NVIDIA Halos AI Systems Inspection Lab," said Dr. Riccardo Mariani, NVIDIA's VP of Industry Safety. "Gatik's leadership in autonomous transportation and commitment to safety innovation align with our mission to advance safe physical AI systems. Together, we look forward to accelerating the development of rigorous inspection methods that strengthen reliability across autonomous platforms." NVIDIA Halos is a comprehensive full-stack safety system for physical AI that unifies safety elements across vehicle and robotics architectures and their underlying AI models. It combines hardware and software components, tools, models, and design principles to safeguard AI-based, end-to-end AV and robotics stacks. "Our work with NVIDIA has been central to bringing autonomous trucking into real-world operations," said Apeksha Kumavat, Co-Founder and Chief Engineer of Gatik. "Expanding that collaboration with Halos reflects NVIDIA's trust in the systems Gatik has built over the years and our shared commitment to strengthening the safety foundation that makes driverless freight possible at scale." Gatik Driver(TM), the company's third-generation autonomous system, combines state-of-the-art AI architecture with reasoning and automotive-grade hardware designed for high-frequency commercial logistics. Before launching driverless operations, Gatik completed an exhaustive independent review of key components of its Safety Assessment Framework conducted by globally recognized testing, inspection, and certification organizations with experience in autonomous system safety assurance. Gatik also maintains active engagement with the U.S. Department of Transportation, including the Federal Motor Carrier Safety Administration and the National Highway Traffic Safety Administration, as well as state agencies and local stakeholders across its operating markets. NVIDIA Halos integrates functional safety, cybersecurity, AI safety, and regulatory compliance into a unified development and verification environment for autonomous systems. In addition, the NVIDIA Halos AI Systems Inspection Lab, a core entry point to the Halos safety framework, is the first program accredited by the ANSI National Accreditation Board for an inspection plan that unifies many aspects of safety within a single framework. Gatik's expansion plans are supported by the company's collaboration with Isuzu Motors to develop a mass-production autonomous-ready vehicle platform for large-scale deployment. At that scale, safety validation becomes a continuous operational discipline. NVIDIA Halos provides the infrastructure to support that process as safety standards governing autonomous systems continue to evolve. Together, NVIDIA-powered Gatik trucks represent one of the most significant deployments of physical AI in autonomous trucking, operating on contracted freight routes for major retailers every day. About Gatik. Gatik AI Inc. develops AI-powered autonomous trucking solutions for regional logistics networks. The Gatik Driver(TM) is a scalable, interpretable AI system purpose-built to enable safe, consistent, and high-frequency freight movement. Proven in real-world driverless operations for Fortune 50 customers, Gatik's technology enhances the reliability and cost efficiency of B2B supply chains at scale. Founded in 2017, Gatik's driverless trucks are commercially deployed on public roads across multiple markets, including Texas, Arkansas, Arizona, Nebraska, and Ontario. Supported by close collaborations with strategic partners - including Isuzu Motors Limited, NVIDIA, and Ryder - Gatik is advancing reliable and efficient freight operations at scale. Gatik, the Gatik logo, and Gatik Driver are trademarks or registered trademarks of Gatik AI Inc. Isuzu and the Isuzu logo are trademarks or registered trademarks of Isuzu Motors Limited. All other company and product names may be trademarks of the respective companies with which they are associated. Safe Harbor Statement This press release contains forward-looking statements within the meaning of applicable securities laws, including, but not limited to, statements regarding Gatik's business strategy, commercial deployment at scale, and anticipated technological performance. These statements are based on current expectations and involve inherent risks and uncertainties. Actual results may differ materially due to factors including, but not limited to: the safety and reliability of autonomous driving technology; shifts in the regulatory landscape for AI and autonomous vehicles; cybersecurity threats and data privacy compliance; global supply chain disruptions; and changes in market demand for middle-mile logistics. Gatik undertakes no obligation to update these statements to reflect events or circumstances after the date of this release, except as required by law. All forward-looking statements are qualified in their entirety by this cautionary statement.