Kodiak Tech Stack

Level 4 autonomous trucking platform with safety-critical focus

Software Development Mountain View, California 201–500 employees Founded 2018 Public Company

Kodiak builds autonomous trucking systems for commercial logistics, with a stack rooted in embedded systems (C++, RTOS, ARM, Lidar) and AI (PyTorch, TensorFlow). Active hiring heavily weights engineering (30 of 54 roles, mostly senior and mid-level), reflecting the phase of scaling from safety validation toward field deployment—projects center on Level 4 autonomy, safety-critical feature development, and compliance with ISO 26262 functional safety standards.

Tech Stack 72 technologies

Core StackC++ Python MATLAB SAP Jira Zoom PyTorch TensorFlow SolidWorks Kubernetes React TypeScript Figma JavaScript Terraform Ansible Grafana RTOS x86 ARM I2C UART Automotive Ethernet Lidar ISO 26262 Snipe-IT macOS Three.js LiDAR C/C+++39 more

What Kodiak Is Building

◆Challenges

Meeting compliance and functional safety requirements
Ensuring safety of autonomous vehicles
Monitoring fleet issues
Developing level 4 autonomous trucking solutions
Debugging field issues
Reducing failure modes
Fleetwide uptime improvement
Deploying autonomous technology
Operational requirements for commercial success
Scaling robotruck deployments

▲Active Projects

Automation of test execution
Safety critical feature development
Ticketing system implementation
Level 4 autonomous trucking solutions
Av system setup
Sop documentation for operations processes
Assisted autonomy deployment
Cross-functional product & engineering alignment
Commercial operations & scalability
Go-to-market strategy & execution

Hiring Activity

Accelerating55 roles · 40 in 30d

Department

Engineering

Ops

Product

Operations

Finance

Marketing

Sales

Data

Seniority

Senior

Mid

Manager

Staff

Intern

Junior

Lead

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About Kodiak

Kodiak develops autonomous trucking solutions designed for commercial logistics operations. The company targets mid-market and enterprise fleet operators, offering software and systems that handle route planning, vehicle control, and real-time fleet monitoring. Core technical work spans perception (Lidar integration), planning and control algorithms, and operational fleet infrastructure (monitoring, ticketing, SoPs). A public company founded in 2018 and headquartered in Mountain View, California, Kodiak operates at the intersection of AI autonomy, safety-critical systems engineering, and commercial deployment—balancing the need for functional safety certification with practical uptime and scaling requirements across real fleets.

HeadquartersMountain View, California

Company Size201–500 employees

Founded2018

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Kodiak use?

Kodiak's stack spans embedded systems (C++, RTOS, ARM, I2C, UART, Automotive Ethernet), perception hardware (Lidar), AI frameworks (PyTorch, TensorFlow), infrastructure (Kubernetes, Terraform, Ansible), and safety standards (ISO 26262). SAP, Jira, and Snipe-IT handle operations and asset tracking.

What is Kodiak working on?

Key projects include Level 4 autonomous trucking solutions, safety-critical feature development, fleet monitoring systems, compliance certification, field debugging, and commercial deployment scaling—with emphasis on reducing failure modes and improving fleet-wide uptime.

How this profile is built

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.