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Autonomous Vehicle Jobs in Missouri (NOW HIRING)

Augmodo

Software Engineer - CV Tooling

California, MO · On-site

$150 - $190/hr

Build robust internal QC, mapping, and annotation platforms (akin to autonomous vehicle curation pipelines) backed by an intimate understanding of CV data quality and edge cases. * Spatial ...

New

Toyota

Regional Project Engineer

Kansas City, MO · On-site

This role allows you to work with some of the latest technologies in the ever-changing material handling field including robotics, mobile robotics, autonomous vehicles, AGV's, and more. If you are ...

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All JobsAutonomous Vehicle JobsAutonomous Vehicle Jobs in Missouri

Autonomous Vehicle information

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How much do autonomous vehicle jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for autonomous vehicle in Missouri is $22.42, according to ZipRecruiter salary data. Most workers in this role earn between $19.62 and $24.57 per hour, depending on experience, location, and employer.

What is an autonomous vehicle?

Autonomous vehicles, also known as self-driving cars or driverless vehicles, are vehicles equipped with technology that allows them to navigate and operate without direct human input. These vehicles use a combination of sensors, cameras, radar, artificial intelligence, and machine learning to perceive their surroundings and make driving decisions. The goal is to increase safety, reduce human error, and create more efficient transportation systems. Autonomous vehicles range from those with partial automation (such as advanced driver assistance systems) to fully autonomous models that do not require a human driver at all.

What are autonomous vehicle jobs?

Autonomous vehicle jobs include a variety of positions based on mechanical engineering and software integration for self-driving vehicles. Someone in this field may help build an assembly line, use robot systems to minimize the risk of human error in production, or help program the operations of a self-driving car. This frequently involves monitoring, engineering, or managing a control system within a vehicle as well as each sensor placed within the vehicle. Companies are continually testing new ideas and techniques to check them for viability—as such, autonomous vehicle jobs require flexibility and the ability to adapt to new technology.

What are the key skills and qualifications needed to thrive as an autonomous vehicle engineer, and why are they important?

To thrive as an Autonomous Vehicle Engineer, you need a strong background in robotics, computer vision, sensor integration, and software development, usually supported by a degree in engineering, computer science, or a related field. Familiarity with tools and systems like ROS (Robot Operating System), machine learning frameworks (such as TensorFlow or PyTorch), and automotive simulation platforms is essential, and certifications in safety standards like ISO 26262 are often valued. Strong problem-solving abilities, teamwork, and effective communication are crucial soft skills for collaborating on complex projects and ensuring safety. Mastery of these skills ensures the reliable development, testing, and deployment of autonomous vehicle systems in a rapidly evolving industry.

What are some common challenges faced by professionals working in autonomous vehicle development teams?

Professionals in autonomous vehicle development often encounter challenges such as integrating complex sensor data, ensuring reliable software performance in unpredictable environments, and adhering to strict safety standards. Collaboration is essential, as teams are typically multidisciplinary, involving software engineers, robotics experts, and data scientists working closely together. Additionally, staying updated with evolving regulations and rapidly changing technology demands a commitment to continuous learning and adaptability.

What is the difference between Autonomous Vehicle vs Autonomous Vehicle Technician?

AspectAutonomous VehicleAutonomous Vehicle Technician
Required CredentialsEngineering degrees, certifications in AI, robotics, or automotive systemsTechnical certifications, hands-on training in vehicle systems and diagnostics
Work EnvironmentResearch labs, automotive companies, testing facilitiesVehicle service centers, manufacturing plants, testing sites
Employer & Industry UsageAutomotive manufacturers, tech companies, research institutionsAutomotive service providers, dealerships, testing agencies

Autonomous Vehicles are advanced systems that operate without human input, requiring expertise in AI and robotics. Autonomous Vehicle Technicians focus on maintaining, diagnosing, and repairing these vehicles, often working directly with the hardware and software components. While both roles are integral to autonomous vehicle development and deployment, they differ in their focus—one on system design and development, the other on hands-on technical support.

More about Autonomous Vehicle jobs

What are the most commonly searched types of Autonomous Vehicle jobs in Missouri?

The most popular types of Autonomous Vehicle jobs in Missouri are:

What are popular job titles related to Autonomous Vehicle jobs in Missouri?

For Autonomous Vehicle jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Autonomous Vehicle jobs in Missouri look for?

The top searched job categories for Autonomous Vehicle jobs in Missouri are:

What cities in Missouri are hiring for Autonomous Vehicle jobs?

Cities in Missouri with the most Autonomous Vehicle job openings:

Autonomous Vehicle jobs near you
Infographic showing various Autonomous Vehicle job openings in Missouri as of August 2026, with employment types broken down into 62% Full Time, 36% Part Time, and 2% Contract. Highlights an 97% Physical, and 3% Remote job distribution, with an average salary of $46,642 per year, or $22.4 per hour.

Software Engineer - CV Tooling

Augmodo

California, MO • On-site

$150 - $190/hr

Other

Medical, Dental, Vision, Retirement

Posted 3 days ago

New

Job description

Augmodo is building the \"operating system for the physical shelf\" using spatial computing and wearable AI. We provide real-time, store-level insights that were previously impossible to capture. We are moving fast, and we need an applied engineer who combines real Computer Vision expertise with high-velocity front-end tooling to make complex spatial data instantly intuitive and highly actionable.

The Challenge

We are looking for a Software Engineer to own the end-to-end user interfaces, active learning agents, and visual tooling powering our Spatial Platform. This is not just a front-end tools role—it requires a real Computer Vision background. You will leverage your experience building and deploying shippable CV models to build pre-labeling agents, custom models for active learning, functional editors, and model-training environments.

Because you understand what it takes to train production-grade ML models, you know that high-quality data is everything. You will apply that knowledge directly to building optimized, intelligent annotation and curation tools for our internal researchers, algorithms, and external clients.

Key Responsibilities

  • Applied CV for Tooling & Automation: Train and integrate lightweight, custom CV models, active learning workflows, and pre-labeling agents specifically designed to accelerate human annotation and data quality control.

  • Data Curation & Annotation Systems: Build robust internal QC, mapping, and annotation platforms (akin to autonomous vehicle curation pipelines) backed by an intimate understanding of CV data quality and edge cases.

  • Spatial & Planogram Interfaces: Design high-performance front-end interfaces that map raw product images and computer vision metadata directly to physical coordinates on digital retail planograms.

  • High-Velocity Iteration: Build functional editors, POCs, and pre-labeling pipelines rapidly to support active model development. We value high agency—shipping high-quality features in days, not months.

  • Consumer-Facing Simplicity: Translate complex, multi-layered spatial and ML outputs into simple, intuitive visual workflows for non-technical users.

Basic Requirements

  • Computer Vision Background: Hands-on experience building, training, and deploying real-world CV models to production. You understand end-to-end model lifecycles and know what \"high-quality data\" actually looks like.

  • Full-Stack Tooling: Strong expertise in React and TypeScript for interactive front-end tools, combined with deep capability in Python (PyTorch/TensorFlow, OpenCV) for the backend model integration.

  • Tooling & Human-in-the-Loop (HITL) Focus: Demonstrated track record building functional editors, canvas-based systems, active learning loops, or annotation tools powered by embedded ML/CV.

  • Bias for Action: High-velocity execution style. You are action-oriented, love leveraging modern AI tools (Cursor, Copilot, etc.), and prioritize getting working tools into researchers' hands fast.

Bonus Points

  • Autonomous Systems / Spatial Data: Prior experience in self-driving data curation pipelines, spatial mapping, LIDAR, or 3D bounding workflows.

  • Retail/Logistics Domain: Experience handling SKUs, physical inventory maps, visual shelf data, or complex product catalogs.

  • 3D/Spatial Web Tech: Familiarity with Three.js, WebGL, or GIS libraries for rendering spatial metadata.

Augmodo offers benefits inclusive of medical, dental, vision, and 401k. The salary range for this role is $150,000 USD - $190,000 USD +equity

Augmodo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status.

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