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Weekend Autonomous Vehicle Operator Jobs in Utah

swirecc

Forklift Operator

Draper, UT · On-site

$21.67/hr

The forklift operator moves products or materials in a production or warehouse environment using ... Driving record must meet Swire's vehicle policy * Work weekends and holidays as directed by the ...

swirecc

Forklift Operator

Draper, UT · On-site

$21.67/hr

The forklift operator moves products or materials in a production or warehouse environment using ... Driving record must meet Swire's vehicle policy * Work weekends and holidays as directed by the ...

swirecc

Forklift Operator

Draper, UT · On-site

$21.67/hr

The forklift operator moves products or materials in a production or warehouse environment using ... Driving record must meet Swire's vehicle policy * Work weekends and holidays as directed by the ...

Swire Coca-Cola, USA

Forklift Operator

Draper, UT · On-site

$21.67/hr

Driving record must meet Swire's vehicle policy * Work weekends and holidays as directed by the ... operating a vehicle. All results are reviewed fairly and in accordance with applicable state and ...

Swire Coca Cola USA

Forklift Operator

Draper, UT · On-site

$21.67/hr

Driving record must meet Swire's vehicle policy * Work weekends and holidays as directed by the ... operating a vehicle. All results are reviewed fairly and in accordance with applicable state and ...

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All JobsAutonomous Vehicle Operator JobsWeekend Autonomous Vehicle Operator JobsWeekend Autonomous Vehicle Operator Jobs in Utah

Weekend Autonomous Vehicle Operator information

What are Weekend Autonomous Vehicle Operators?

Weekend Autonomous Vehicle Operators are professionals responsible for overseeing and monitoring the operation of self-driving vehicles, typically during weekends when regular staff may be unavailable. Their duties often include starting and stopping the vehicle, monitoring performance, responding to unexpected situations, and collecting data for development teams. These operators may also provide feedback to engineers and ensure the vehicles comply with safety protocols. Weekend roles are critical to ensure continuous testing and development of autonomous vehicle technology outside of standard business hours.

How much does Waymo autonomous vehicle operator make?

Waymo autonomous vehicle operators typically earn between $15 and $25 per hour, depending on location and experience. The role involves monitoring and assisting with autonomous vehicle operations, often requiring a valid driver's license and safety training. Salaries can vary based on company policies and regional pay scales.

What does a typical weekend shift look like for an Autonomous Vehicle Operator, and how does the role interact with engineering teams?

As a Weekend Autonomous Vehicle Operator, your shifts often involve monitoring and controlling autonomous vehicles during test drives, ensuring safety protocols are followed, and recording vehicle performance data. You'll regularly communicate with remote engineering and operations teams to report anomalies or software issues in real time. Expect to work independently while also participating in debrief sessions to provide actionable feedback that helps improve vehicle systems. Collaboration is key, as your observations directly support the technical teams refining the vehicle’s autonomous capabilities.

Who is Waymo's biggest competitor?

For a Weekend Autonomous Vehicle Operator, Waymo's biggest competitors include companies like Cruise and Uber Advanced Technologies Group, which develop autonomous driving systems and operate autonomous vehicle fleets. These companies are leading players in the autonomous vehicle industry and often compete for market share and technological advancements.

What company is leading in autonomous vehicles?

Leading companies in autonomous vehicles include Waymo, Tesla, and Cruise, which have made significant advancements in self-driving technology. These companies focus on developing and deploying autonomous systems for commercial and consumer use, often requiring specialized skills and safety certifications for operators. The industry continues to evolve with ongoing testing and regulatory developments.

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

To thrive as a Weekend Autonomous Vehicle Operator, you typically need a valid driver's license, a clean driving record, and a strong understanding of vehicle safety and traffic laws. Familiarity with autonomous vehicle software, remote monitoring systems, and basic troubleshooting tools is important. Attention to detail, strong communication, and the ability to remain focused during long shifts set top candidates apart. These skills ensure the safe and efficient operation of autonomous vehicles while quickly addressing any technical or safety concerns.

Who is at fault if a driverless car crashes?

For a Weekend Autonomous Vehicle Operator, liability in a crash depends on the circumstances, including whether the vehicle was functioning properly and if the operator was monitoring it. Typically, fault may be attributed to the vehicle manufacturer, software developer, or the human operator if negligence is involved. Legal responsibility varies by jurisdiction and specific incident details.

What is the difference between Weekend Autonomous Vehicle Operator vs Part-Time Delivery Driver?

AspectWeekend Autonomous Vehicle OperatorPart-Time Delivery Driver
Required CredentialsValid driver’s license, basic technical knowledgeValid driver’s license, vehicle insurance
Work EnvironmentTesting sites, autonomous vehicle fleets, controlled environmentsCustomer locations, urban and suburban areas
Employer & IndustryAutonomous vehicle companies, tech firmsDelivery services, logistics companies
Search & Comparison IntentAutonomous vehicle operation, tech rolesDelivery jobs, part-time work

The Weekend Autonomous Vehicle Operator typically works with autonomous vehicle technology in testing or fleet environments, requiring some technical knowledge. In contrast, Part-Time Delivery Drivers focus on delivering goods to customers, often in various locations. Both roles involve driving and require a valid driver’s license, but they differ in work setting and industry focus.

What are popular job titles related to Weekend Autonomous Vehicle Operator jobs in Utah? For Weekend Autonomous Vehicle Operator jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Weekend Autonomous Vehicle Operator jobs in Utah look for? The top searched job categories for Weekend Autonomous Vehicle Operator jobs in Utah are:
Weekend Autonomous Vehicle Operator jobs near you
Perception Engineer III - Project Based

Perception Engineer III - Project Based

Autonomous Solutions

Mendon, UT • On-site

$109K - $144K/yr

Temporary

Medical, Retirement, PTO

Posted 20 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 Perception Engineer III develops, integrates, and validates perception capabilities that enable ASI's autonomous agricultural equipment to understand field conditions, detect obstacles, identify operational boundaries, and perform assigned tasks safely and effectively. This role works with data from cameras, LiDAR, radar, GPS/GNSS, inertial sensors, and other systems to support object detection, terrain understanding, crop and vegetation awareness, traversability analysis, and autonomous machine operation.
As a Level III engineer within ASI's five-level engineering structure, this position independently contributes to moderately complex perception features and subsystem improvements while receiving guidance on broader architectural and system-level decisions. The role collaborates with GNC, embedded software, systems, test, and field operations teams to improve perception performance across changing terrain, vegetation, lighting, weather, dust, and agricultural operating conditions.
ESSENTIAL DUTIES AND RESPONSIBILITIES
  • Develop, implement, integrate, and validate perception algorithms for autonomous agricultural vehicle applications
  • Contribute to capabilities involving obstacle detection, object classification, tracking, terrain understanding, traversability analysis, and operational-area awareness
  • Process and analyze data from cameras, LiDAR, radar, GPS/GNSS, inertial sensors, and other vehicle systems
  • Support perception of field boundaries, crop rows, vegetation, terrain features, equipment, personnel, animals, and other operational hazards
  • Develop and improve environmental models used to support autonomous navigation, path planning, and agricultural task execution
  • Contribute to multi-sensor fusion solutions that provide reliable environmental awareness in outdoor agricultural environments
  • Own defined perception features and moderately complex assignments from development through integration, testing, and field validation
  • Integrate perception software with ASI's autonomous agricultural platforms and embedded computing systems
  • Evaluate perception performance using recorded datasets, simulation, software-in-the-loop testing, hardware-in-the-loop testing, and full-vehicle field testing
  • Develop measurable performance criteria for assigned perception features and use test results to identify improvement opportunities
  • Analyze field data to identify false detections, missed detections, edge cases, and environmental performance limitations
  • Develop tools and scripts for data processing, visualization, labeling, replay, regression testing, and performance analysis
  • Troubleshoot issues involving sensor calibration, timing, synchronization, coordinate transformations, vehicle movement, and system integration
  • Support sensor selection, placement, mounting, configuration, calibration, and validation activities
  • Improve perception software performance for real-time execution on embedded computing platforms
  • Collaborate with GNC engineers to ensure perception outputs support navigation, path planning, obstacle avoidance, and autonomous task execution
  • Work with test engineers and field testers to develop realistic agricultural test scenarios and reproduce perception-related issues
  • Participate in design reviews, code reviews, sprint planning, and technical investigations
  • Document algorithms, 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 Computer Science, Computer Engineering, Electrical Engineering, Robotics, Mathematics, or a related technical field
  • Typically five or more years of experience developing perception, computer vision, robotics, machine learning, sensor-fusion, or autonomous-system software
  • Strong proficiency in C++ and Python
  • Experience developing or integrating computer vision, point-cloud processing, sensor-fusion, or machine-learning algorithms
  • Experience working with cameras, LiDAR, radar, GPS/GNSS, or other robotic sensing technologies
  • Understanding of coordinate systems, transformations, sensor calibration, data synchronization, and geometric algorithms
  • 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, and continuous integration practices
  • Ability to analyze large datasets and establish measurable criteria for evaluating algorithm performance
  • Experience troubleshooting software, sensor, and system-integration issues
  • Strong 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 Computer Science, Electrical Engineering, Robotics, Machine Learning, or a related discipline
  • Experience developing perception systems for autonomous agricultural equipment, off-road vehicles, heavy machinery, or mobile robots
  • Familiarity with agricultural operations, field navigation, crop production, spraying, planting, harvesting, or related workflows
  • Experience with OpenCV, Point Cloud Library, PyTorch, TensorFlow, CUDA, or similar technologies
  • Experience with machine-learning approaches for detection, segmentation, classification, depth estimation, or tracking
  • Experience with LiDAR point-cloud registration, clustering, filtering, mapping, or ground-surface analysis
  • Familiarity with crop-row detection, vegetation segmentation, field-boundary detection, elevation mapping, or traversability analysis
  • Familiarity with Kalman filtering, Bayesian estimation, probabilistic robotics, or other sensor-fusion methods
  • Experience optimizing perception software for GPUs or embedded computing platforms
  • Experience with simulation, recorded-data replay, hardware-in-the-loop, or software-in-the-loop testing
  • Familiarity with functional safety concepts and validation practices for autonomous or safety-critical systems
  • Experience validating autonomous 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.

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