ZipRecruiter

Log In

1

Temporary Autonomous Vehicle Testing Jobs in Utah

Autonomous Solutions

Perception Engineer IV

Mendon, UT · On-site

$128K - $169K/yr

... autonomous vehicle platforms, embedded computing systems, and supporting autonomy software * Evaluate perception performance using recorded datasets, simulation, software-in-the-loop testing ...

Autonomous Solutions

Perception Engineer IV

Mendon, UT · On-site

$128K - $169K/yr

... autonomous vehicle platforms, embedded computing systems, and supporting autonomy software * Evaluate perception performance using recorded datasets, simulation, software-in-the-loop testing ...

next page

Showing results 1-20

All JobsAutonomous Vehicle Testing JobsTemporary Autonomous Vehicle Testing JobsTemporary Autonomous Vehicle Testing Jobs in Utah

Temporary Autonomous Vehicle Testing information

What are the key skills and qualifications needed to thrive as a Temporary Autonomous Vehicle Testing Operator, and why are they important?

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 are temporary autonomous vehicle testing jobs?

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 some common challenges faced during temporary autonomous vehicle testing, and how can they be managed on the job?

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:
Temporary Autonomous Vehicle Testing jobs near you
Perception Engineer IV

Perception Engineer IV

Autonomous Solutions

Mendon, UT • On-site

$128K - $169K/yr

Full-time

Medical, Retirement, PTO

Posted 20 days ago

Job description

JOB SUMMARY
The Perception Engineer IV develops and advances perception systems that enable ASI's autonomous logistics vehicles to understand their surroundings, detect and track objects, identify navigable space, and operate safely in dynamic material-handling environments. This role works with cameras, LiDAR, radar, GPS/GNSS, inertial sensors, and other sensing technologies to support object detection, environmental modeling, localization, obstacle avoidance, and autonomous task execution.
As a Level IV engineer within ASI's five-level engineering structure, this position independently leads complex perception features and subsystem initiatives from technical definition through integration and validation. The role influences perception architecture, resolves difficult cross-system problems, and provides technical guidance to other engineers while collaborating closely with GNC, embedded software, systems, test, and field operations teams. Broader platform strategy and organization-wide technical direction remain aligned with engineering leadership and Level V technical authorities.
ESSENTIAL DUTIES AND RESPONSIBILITIES
  • Design, develop, integrate, and validate advanced perception algorithms for autonomous logistics and material-handling applications
  • Lead complex perception features involving object detection, classification, segmentation, tracking, obstacle detection, free-space identification, and environmental understanding
  • Develop perception capabilities for detecting vehicles, equipment, personnel, pallets, containers, racks, structures, loading areas, and other operational objects
  • Process and fuse data from cameras, LiDAR, radar, GPS/GNSS, inertial sensors, encoders, and other vehicle systems
  • Develop environmental models that support safe navigation, route planning, docking, alignment, loading, unloading, and material-movement workflows
  • Lead defined perception workstreams from requirements development through architecture, implementation, integration, testing, and release
  • Contribute to perception architecture and technical design decisions for autonomous logistics platforms
  • Establish technical approaches, performance metrics, and acceptance criteria for complex perception capabilities
  • Integrate perception software with ASI's autonomous vehicle platforms, embedded computing systems, and supporting autonomy software
  • Evaluate perception performance using recorded datasets, simulation, software-in-the-loop testing, hardware-in-the-loop testing, and full-vehicle field validation
  • Analyze large datasets to identify false detections, missed detections, tracking failures, environmental limitations, and system-level edge cases
  • Develop and improve automated workflows for data collection, labeling, replay, regression testing, visualization, and performance analysis
  • Lead troubleshooting of complex issues involving sensor calibration, timing, synchronization, coordinate transformations, vehicle movement, computing performance, and system integration
  • Guide sensor selection, placement, mounting, configuration, calibration, and validation activities
  • Optimize perception algorithms for real-time execution on embedded CPUs, GPUs, and other computing platforms
  • Collaborate with GNC engineers to ensure perception outputs support safe navigation, motion planning, obstacle avoidance, and task execution
  • Partner with systems engineers to define interfaces, requirements, failure responses, and operational constraints for perception subsystems
  • Work with test engineers and field testers to develop comprehensive validation scenarios for logistics environments
  • Investigate difficult field failures and lead the development and verification of corrective actions
  • Conduct design reviews and code reviews while providing technical feedback to other engineers
  • Mentor less-experienced engineers and support improvements to engineering practices, development tools, and team standards
  • Communicate technical risks, limitations, findings, and recommendations to engineering teams and leadership
  • Document algorithms, architectures, interfaces, assumptions, test results, technical decisions, and known system limitations
  • Support customer demonstrations, field deployments, acceptance testing, and troubleshooting activities as required

ESSENTIAL EDUCATION, WORK EXPERIENCE, JOB SKILLS
  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, Mathematics, or a related technical field
  • Typically eight or more years of experience developing perception, computer vision, robotics, machine learning, sensor-fusion, or autonomous-system software
  • Advanced proficiency in C++ and Python
  • Demonstrated experience independently developing and delivering complex perception features for robotic or autonomous systems
  • Strong experience with computer vision, point-cloud processing, sensor fusion, object tracking, or machine-learning algorithms
  • Experience working with cameras, LiDAR, radar, GPS/GNSS, inertial sensors, or other robotic sensing technologies
  • Strong understanding of coordinate systems, geometric transformations, sensor calibration, data synchronization, and three-dimensional geometry
  • Experience designing software interfaces and integrating perception components into complex hardware and software systems
  • Experience developing and optimizing real-time software for embedded or constrained computing platforms
  • Advanced experience working in Linux-based software-development environments
  • Experience with ROS, ROS2, or comparable robotics middleware
  • Experience developing production-quality software using version control, peer review, automated testing, continuous integration, and configuration-management practices
  • Ability to define meaningful performance metrics and use large datasets to evaluate perception-system performance
  • Demonstrated ability to diagnose and resolve complex software, sensor, computing, and system-integration issues
  • Ability to provide technical guidance and constructive feedback to other engineers
  • Strong analytical, debugging, and technical problem-solving skills
  • Strong written and verbal communication skills
  • Ability to work effectively with engineering, operations, customer-facing, and field-testing teams

PREFERRED QUALIFICATIONS
  • Master's degree in Computer Science, Electrical Engineering, Robotics, Machine Learning, or a related discipline
  • Experience developing perception systems for autonomous logistics vehicles, material-handling equipment, industrial vehicles, mobile robots, or heavy equipment
  • Familiarity with warehouse, yard, distribution-center, manufacturing, loading, unloading, or material-movement workflows
  • Experience with OpenCV, Point Cloud Library, PyTorch, TensorFlow, CUDA, TensorRT, or similar technologies
  • Experience developing machine-learning solutions for detection, segmentation, classification, depth estimation, or tracking
  • Experience with LiDAR point-cloud registration, filtering, clustering, mapping, and object detection
  • Experience with multi-object tracking, occupancy grids, free-space detection, semantic mapping, or environmental modeling
  • Familiarity with Kalman filtering, Bayesian estimation, probabilistic robotics, or other sensor-fusion methods
  • Experience optimizing software for GPUs, embedded computers, or real-time systems
  • Experience with simulation, recorded-data replay, software-in-the-loop testing, and hardware-in-the-loop testing
  • Experience with docking, alignment, pallet detection, container detection, load identification, or precision positioning applications
  • Familiarity with functional safety principles and validation practices for autonomous or safety-critical systems
  • Experience validating autonomous systems in industrial, indoor, outdoor, low-light, high-traffic, dusty, or weather-exposed environments

BENEFITS
ASI offers a comprehensive benefits package, including:
  • 401k with employer match
  • Generous HSA contribution
  • Employee Stock Ownership Plan
  • 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 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.

Apply