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Autonomous Vehicle Engineer Jobs in Utah (NOW HIRING)

Robot Chief Engineer

Mendon, UT · On-site

$189K - $221K/yr

As the Robot Chief Engineer for the Pallets & Bundles Division and Telehandler platform, you will ... Stay current on industry trends, emerging technologies, autonomous vehicle systems, robotics ...

Robot Chief Engineer

Mendon, UT · On-site

$189K - $221K/yr

As the Robot Chief Engineer for the Pallets & Bundles Division and Telehandler platform, you will ... Stay current on industry trends, emerging technologies, autonomous vehicle systems, robotics ...

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Showing results 1-20

Autonomous Vehicle Engineer information

See Utah salary details

$23

$48

$69

How much do autonomous vehicle engineer jobs pay per hour?

As of Jul 6, 2026, the average hourly pay for autonomous vehicle engineer in Utah is $48.82, according to ZipRecruiter salary data. Most workers in this role earn between $39.38 and $56.68 per hour, depending on experience, location, and employer.

What are autonomous vehicle engineers?

Autonomous vehicle engineers are professionals who design, develop, test, and implement the technologies that enable vehicles to operate without human intervention. They work on a range of systems, including sensors, artificial intelligence, machine learning algorithms, and control systems to ensure safe and efficient self-driving capabilities. These engineers often collaborate with experts in robotics, software development, and automotive engineering to advance the functionality and reliability of autonomous vehicles.

How do Autonomous Vehicle Engineers typically collaborate with other teams during the development process?

Autonomous Vehicle Engineers often work closely with multidisciplinary teams, including software developers, hardware designers, safety experts, and data scientists. Collaboration is essential, as engineers must integrate sensor data, develop real-time algorithms, and ensure that autonomous systems interact safely with their environment. Regular cross-functional meetings, code reviews, and joint testing sessions are common practices to align on project goals and solve complex challenges. Effective communication skills are crucial, as engineers frequently translate technical requirements between different teams to ensure a cohesive final product.

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 science, and electrical or mechanical engineering, often supported by a relevant degree. Proficiency in programming languages like C++, Python, and ROS, as well as experience with sensor fusion, machine learning, and simulation tools, is typically required. Excellent problem-solving abilities, teamwork, and adaptability help engineers navigate complex challenges and collaborate across multidisciplinary teams. These skills and qualities are crucial to ensure the safe, innovative, and effective development of autonomous vehicle systems.
Infographic showing various Autonomous Vehicle Engineer job openings in Utah as of June 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $101,554 per year, or $48.8 per hour.

Senior Software Engineer, Metrics and Evaluation - Autonomous Vehicles

NVIDIA AI

Santa Clara, UT • On-site

$109K - $144K/yr

Full-time

Posted 3 days ago


Job description

Job Summary:
NVIDIA AI is developing groundbreaking solutions in technology areas such as Artificial Intelligence and Autonomous Vehicles. They are seeking a Senior Software Engineer to join their Planning and Control team, focusing on metrics and evaluation to enable rapid algorithm development.
Responsibilities:
• Define and develop metrics that enable rapid debugging, testing, and evaluation of our Autonomous Vehicle software.
• Build compelling, data driven evaluation products by combining on-road driving analysis, large scale simulation, models, metrics and dashboards.
• Collaborate with machine learning engineers, infrastructure engineers and roboticists to develop novel solutions to open-ended problems
• Work with the Planning & Control team to develop and drive software testing strategies
Qualifications:
Required:
• MS, or PhD or equivalent experience in data science, electrical, mechanical, aerospace engineering, physics, computer science or similar fields
• 5+ years experience working in software engineering, data science, and/or experiment design roles
• Highly proficient in Python and associated libraries (Pandas, Numpy, Scipy, Matplotlib)
• Familiarity programming with GIT in Linux (Ubuntu) or another Unix based system
• Ability and enthusiasm to ramp up quickly on new technical domains
• Ability to multitask and prioritize in a fast paced environment
• Excellent organizational and interpersonal skills
Preferred:
• Experience developing on-board planning algorithms
• Developed metrics for autonomous vehicle robotics systems
• Experience with evaluating precision and recall of performance metrics
• Familiarity with C++
• Experience with working in a large monorepo and with Bazel as well as prior knowledge about vehicle simulation, path planning, vehicle control, Drive-by-Wire systems, and self-driving technologies.
Company:
Explore the latest breakthroughs made possible with AI. Founded in , the company is headquartered in Santa Clara, CA, US, , with a team of 10001+ employees. The company is currently Late Stage.