Perception Engineer III

Description

ASI is expanding its teams to support its current ramp-up across development work, customer projects, and product deployments. This is a full-time W-2 contract position. The selected candidate will interview with ASI and work as an integrated member of the ASI team. W-2 employment, payroll, and benefits will be administered through one of ASI's staffing partners. Development phases of this nature typically span up to project completion (typically 2-4 years), though scope and duration are driven by business needs.

JOB SUMMARY

The Perception Engineer III develops, integrates, and validates perception capabilities that enable ASI's autonomous articulated dump trucks (ADTs) and water carts to understand terrain, detect obstacles, recognize haul road and work-area conditions, and operate safely in dynamic construction and earthmoving environments. This role works with data from cameras, LiDAR, radar, GPS/GNSS, inertial sensors, and other systems to support terrain modeling, obstacle detection, traversability analysis, localization, and autonomous machine behavior.

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 develop and validate reliable perception performance for autonomous ADTs and water carts operating on uneven terrain and haul roads, in dust, changing ground conditions, and active work sites.

ESSENTIAL DUTIES AND RESPONSIBILITIES

• Develop, implement, integrate, and validate perception algorithms for autonomous ADT and water cart applications
• Contribute to perception capabilities involving obstacle detection, object classification, tracking, terrain understanding, traversability analysis, and work-area awareness
• Process and analyze data from cameras, LiDAR, radar, GPS/GNSS, inertial sensors, and other vehicle systems
• Develop and improve terrain models used to support autonomous navigation, path planning, dumping, spreading, and haul road operations
• Support the detection and interpretation of terrain features, slopes, berms, drop-offs, dump zones, haul road edges, work boundaries, equipment, personnel, and other operational hazards
• Contribute to multi-sensor fusion solutions that provide reliable environmental awareness in outdoor construction and earthmoving environments
• Own defined perception features and moderately complex assignments from development through integration, testing, and field validation
• Integrate perception software with ASI's autonomous ADT and water cart platforms and embedded computing systems
• Evaluate perception performance using recorded datasets, simulation, software-in-the-loop testing, hardware-in-the-loop testing, and 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, hauling, dumping, and water cart operations, and autonomous task execution
• Work with test engineers and field testers to develop realistic 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,…