Perception Engineer III Contract

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 ASIs 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 ASIs 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 ASIs 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 ASIs 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

• Bachelors 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

• Masters 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.

Required Experience:

IC