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Temporary Autonomous Vehicle Testing Jobs in Utah

No Type Non Benefited Staff / Student Temporary? No Standard Hours per Week 20 Full Time or ... Paid CDL training and testing. This is an Entry-Level position in the Support track. Job Code:

No Type Non Benefited Staff / Student Temporary? No Standard Hours per Week 20 Full Time or ... Paid CDL training and testing. This is an Entry-Level position in the Support track. Job Code:

... flight testing--while collaborating across multidisciplinary engineering teams. GuideTech is a ... vehicles, spacecraft, missiles, and other autonomous systems. Your work will help validate system ...

AI Safety Operator

Draper, UT · On-site

$16.50 - $22.25/hr

... testing in accordance with Tesla policy and applicable law Preferred : • Familiarity with ... and Autonomous Driving Systems (ADS) Company : Tesla is an electric vehicle and clean energy ...

... new vehicle capabilities and support prototype development, testing, and field deployments ... Autonomous systems * Embedded networking * Edge computing You'll Probably Enjoy This Role If.

Showing results 41-60

Temporary Autonomous Vehicle Testing information

What are the key skills and qualifications needed for temporary autonomous vehicle testing?

To thrive as a Temporary Autonomous Vehicle Testing Operator, you need a clean driving record, strong attention to detail, and familiarity with vehicle operations, often supported by a valid driver's license and sometimes a technical background. Competence in using data collection systems, onboard diagnostics tools, and software for logging test results is typically required. Strong communication, problem-solving abilities, and the capacity to remain focused and calm under pressure are vital soft skills. These skills and qualifications are crucial for ensuring safe vehicle operation, accurate data reporting, and effective teamwork in a safety-critical and rapidly evolving environment.

What is a temporary autonomous vehicle testing?

Temporary autonomous vehicle testing jobs involve short-term positions where individuals assist in the testing and evaluation of self-driving vehicles. These roles often include monitoring vehicle performance, recording data, and sometimes intervening to ensure safety during test drives. Workers may be responsible for reporting software or hardware issues and working alongside engineers to improve vehicle systems. These positions are ideal for those interested in cutting-edge automotive technology and may require a valid driver's license, attention to detail, and the ability to follow safety protocols.

What are common challenges faced during temporary autonomous vehicle testing, and how can they be managed?

During temporary autonomous vehicle testing, team members often encounter unpredictable road conditions, evolving software updates, and the need to rapidly adapt to new testing protocols. It’s important to maintain clear communication with engineers and safety drivers to address real-time issues and ensure safety standards are upheld. Flexibility and attention to detail are key, as the role requires documenting test results accurately and providing actionable feedback to development teams. Embracing continual learning and remaining adaptable are essential for effectively managing these challenges.

What is the difference between Temporary Autonomous Vehicle Testing vs Autonomous Vehicle Software Engineer?

AspectTemporary Autonomous Vehicle TestingAutonomous Vehicle Software Engineer
Required CredentialsRelevant certifications in vehicle testing, safety protocolsComputer science, software engineering degrees, coding skills
Work EnvironmentOn-road testing, test tracks, controlled environmentsOffice, lab, software development environments
Employer & Industry UsageAutomotive manufacturers, testing firms, R&D centersTech companies, automotive firms, startups
Common Search & ComparisonOften compared for testing roles in autonomous vehicle developmentRelated to software development in autonomous systems

Temporary Autonomous Vehicle Testing involves on-road and track testing of autonomous vehicles to evaluate safety and performance, requiring certifications in vehicle safety. Autonomous Vehicle Software Engineers focus on developing the algorithms and software that enable autonomous driving, requiring coding and software engineering credentials. Both roles are essential in autonomous vehicle development but differ in their focus and work environment.

What are the most commonly searched types of Autonomous Vehicle Testing jobs in Utah? The most popular types of Autonomous Vehicle Testing jobs in Utah are:
What are popular job titles related to Temporary Autonomous Vehicle Testing jobs in Utah? For Temporary Autonomous Vehicle Testing jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Temporary Autonomous Vehicle Testing jobs in Utah look for? The top searched job categories for Temporary Autonomous Vehicle Testing jobs in Utah are:
What cities in Utah are hiring for Temporary Autonomous Vehicle Testing jobs? Cities in Utah with the most Temporary Autonomous Vehicle Testing job openings:

Guidance Navigation and Controls (GNC) Engineer III - Project Based

Autonomous Solutions

Mendon, UT • On-site

$72K - $94K/yr

Temporary

Medical, Retirement, PTO

Re-posted 7 days ago


Job description

This is a project-based employee role supporting the development, integration, and validation of ASI's autonomous agricultural vehicle platforms. Development phases of this nature typically continue through project completion, often spanning two to four years, although scope and duration are determined by business and customer needs.

JOB SUMMARY

The Guidance, Navigation, and Controls Engineer III develops, integrates, and validates algorithms that enable ASI's autonomous agricultural equipment to navigate fields, follow planned routes, maintain stable vehicle control, and complete assigned operations safely and accurately. This role works with vehicle dynamics, localization, state estimation, trajectory planning, path tracking, and feedback-control systems to support reliable autonomous operation in agricultural environments.

As a Level III engineer within ASI's five-level engineering structure, this position independently contributes to moderately complex GNC features and subsystem improvements while receiving guidance on broader architectural and system-level decisions. The role collaborates with perception, embedded software, systems, test, and field operations teams to improve autonomous equipment performance across changing terrain, vegetation, field conditions, weather, payloads, and agricultural workflows.

ESSENTIAL DUTIES AND RESPONSIBILITIES

  • Develop, implement, integrate, and validate guidance, navigation, and control algorithms for autonomous agricultural equipment
  • Contribute to vehicle motion-control capabilities involving steering, propulsion, braking, speed control, path tracking, and trajectory following
  • Develop and tune feedback-control algorithms to improve vehicle stability, accuracy, responsiveness, and operational performance
  • Support navigation capabilities that allow autonomous equipment to move safely and efficiently through fields, headlands, access roads, and defined work areas
  • Develop and improve localization and state-estimation solutions using GPS/GNSS, RTK positioning, inertial sensors, encoders, odometry, and vehicle feedback
  • Contribute to trajectory-generation, route-planning, and path-planning solutions for agricultural operations
  • Support capabilities involving field coverage, row following, headland turns, pass planning, overlap management, and work-area completion
  • Support coordination between vehicle motion, attached implements, perception outputs, and task-planning software
  • Own defined GNC features and moderately complex assignments from development through integration, testing, and field validation
  • Develop and refine vehicle-dynamics and system-behavior models to support controller design, simulation, and performance analysis
  • Tune control parameters on physical equipment across varying terrain, speed, payload, soil, traction, and operating conditions
  • Evaluate GNC performance using simulation, recorded-data replay, software-in-the-loop testing, hardware-in-the-loop testing, and full-vehicle field testing
  • Develop measurable performance criteria for assigned features, including path accuracy, tracking error, localization accuracy, stability, response time, and task completion
  • Analyze vehicle logs and field data to identify control limitations, localization errors, unstable behavior, and operational edge cases
  • Develop tools and scripts for simulation, data processing, visualization, automated testing, controller tuning, and performance analysis
  • Troubleshoot issues involving vehicle control, localization, sensor timing, coordinate transformations, communication interfaces, and system integration
  • Collaborate with perception engineers to ensure terrain, obstacle, vegetation, and boundary information supports safe navigation and control decisions
  • Work with embedded software engineers to integrate GNC algorithms into real-time vehicle-control and computing systems
  • Partner with test engineers and field testers to develop procedures, reproduce issues, and validate corrective actions
  • Participate in design reviews, code reviews, sprint planning, and technical investigations
  • Document algorithms, mathematical models, software interfaces, assumptions, test results, technical decisions, and known system limitations
  • Support field deployments, customer demonstrations, and troubleshooting activities as required

ESSENTIAL EDUCATION, WORK EXPERIENCE, JOB SKILLS

  • Bachelor's degree in Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Robotics, Computer Engineering, Computer Science, or a related technical field
  • Typically five or more years of experience developing controls, navigation, robotics, vehicle-dynamics, state-estimation, or autonomous-system software
  • Strong understanding of classical and modern control theory, including feedback control, PID control, system dynamics, and stability
  • Experience developing and tuning control algorithms on physical robotic, automotive, agricultural, aerospace, industrial, or heavy-equipment systems
  • Experience with localization, navigation, trajectory generation, path tracking, route planning, or state estimation
  • Proficiency in C++, Python, MATLAB/Simulink, or comparable engineering and software-development tools
  • Experience developing software in Linux-based environments
  • Familiarity with ROS, ROS2, or comparable robotics middleware
  • Understanding of coordinate systems, transformations, vehicle kinematics, and vehicle dynamics
  • Experience using simulation, recorded data, and physical testing to evaluate algorithm and system performance
  • Experience developing production-quality software using version control, peer review, automated testing, and continuous integration practices
  • Ability to analyze complex system behavior and troubleshoot software, sensor, vehicle, and system-integration issues
  • Strong mathematical, analytical, debugging, and technical problem-solving skills
  • Strong written and verbal communication skills
  • Ability to work effectively with cross-functional engineering and field teams

PREFERRED QUALIFICATIONS

  • Master's degree in Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Robotics, Controls, or a related discipline
  • Experience developing GNC systems for autonomous agricultural equipment, off-road vehicles, heavy machinery, or mobile robots
  • Familiarity with agricultural operations such as planting, spraying, tillage, harvesting, mowing, material application, or field preparation
  • Experience with field coverage planning, row following, headland-turn planning, route optimization, or coordinated vehicle-and-implement control
  • Experience with model-based design, system identification, controller tuning, or vehicle-dynamics modeling
  • Experience with Kalman filters, extended Kalman filters, particle filters, or other state-estimation methods
  • Experience with GNSS, RTK positioning, IMUs, encoders, odometry, and multi-sensor localization
  • Familiarity with model predictive control, optimization-based control, trajectory optimization, or motion planning
  • Experience integrating algorithms with vehicle-control units, embedded controllers, CAN networks, drive-by-wire systems, or agricultural equipment interfaces
  • Experience with MATLAB/Simulink, C++, Python, Gazebo, or similar simulation and development tools
  • Experience with software-in-the-loop, hardware-in-the-loop, and recorded-data replay testing
  • Familiarity with functional safety concepts and validation practices for autonomous or safety-critical systems
  • Experience validating control systems in dusty, high-vibration, uneven, outdoor, agricultural, or industrial environments

BENEFITS

ASI offers a comprehensive benefits package, including:

  • 401k with employer match
  • Generous HSA contribution
  • PTO, paid holidays, and flextime
  • ASI covers 90% of employee medical plan costs

At Autonomous Solutions, Inc. (ASI), we are committed to fostering a diverse, inclusive, and equitable workplace where all employees and applicants have equal opportunities. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other legally protected characteristic. ASI complies with all applicable federal, state, and local laws regarding nondiscrimination in employment and is dedicated to providing reasonable accommodations for individuals with disabilities throughout the hiring process.

This is a full-time, project-based employment opportunity. Your employment with ASI will be "at will," meaning that either you or ASI may terminate your employment at any time for any lawful reason, with or without cause or advance notice.