Kodiak builds a Level 4 autonomous driving system for trucks, with job posts centered on scaling robotruck deployments and fleetwide uptime. The stack pairs C++ and PyTorch with TensorRT, ONNX and Triton for onboard inference, plus DeepSpeed, NCCL and InfiniBand for distributed training, and ISO 26262 points to functional-safety rigor. Hiring skews senior and engineering-heavy, with a notable ops contingent supporting field deployment.
Kodiak is a Mountain View, California company founded in 2018 that develops self-driving technology for freight and logistics. Its core product is an autonomous trucking platform built around the Kodiak Driver perception stack and onboard machine learning models. The company also works on assisted autonomy deployment alongside full autonomy. Kodiak is a public company with 201–500 employees and hires in the United States across engineering, operations, product, sales and corporate functions.
Kodiak uses C++, Python, PyTorch, TensorFlow, ONNX, TensorRT, CUDA and Triton for ML, plus Kubernetes, Terraform, Ansible, Rancher, AWS, MinIO, Grafana and Prometheus for infrastructure.
Kodiak is building a Level 4 autonomous trucking platform, deploying onboard ML models, developing the Kodiak Driver perception stack, and rolling out assisted autonomy deployments.
Kodiak is headquartered in Mountain View, California, United States, and hires within the United States. It was founded in 2018 and has 201–500 employees.
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Kodiak's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.
