Perception Engineer I Project Based

This is a project-based employee role supporting the development integration and validation of ASIs autonomous compactor 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 I supports the development integration and testing of perception capabilities that enable ASIs autonomous compactors to understand terrain detect obstacles recognize work-area conditions and operate safely in construction environments. This role works with data from cameras LiDAR radar GPS/GNSS inertial sensors and other systems to support environmental awareness terrain understanding obstacle detection and autonomous machine operation.

As a Level I engineer within ASIs five-level engineering structure this position completes defined engineering assignments under the guidance of more experienced engineers. The role provides an opportunity to develop practical experience in robotics computer vision sensor processing software development and autonomous heavy-equipment testing while contributing to the Compactor Teams development goals.

ESSENTIAL DUTIES AND RESPONSIBILITIES

• Support the development implementation and testing of perception software for autonomous compactor applications
• Assist with capabilities involving obstacle detection object classification terrain understanding work-area awareness and environmental sensing
• Process and analyze data from cameras LiDAR radar GPS/GNSS inertial sensors and other vehicle systems
• Develop and maintain software components scripts and engineering tools under the direction of experienced team members
• Assist with integrating perception software into ASIs autonomous compactor platforms and embedded computing systems
• Evaluate assigned perception features using recorded datasets simulation laboratory testing and vehicle field testing
• Review test data to identify false detections missed detections sensor issues and performance limitations
• Support the collection organization labeling visualization and replay of sensor data
• Assist with sensor installation configuration calibration and validation activities
• Develop basic tools for data processing visualization automated testing and performance analysis
• Troubleshoot defined software sensor and system-integration issues with support from senior engineers
• Contribute to unit testing regression testing and documentation for perception software components
• Work with GNC embedded software systems test and field teams to support autonomous compactor integration
• Participate in code reviews design discussions sprint planning and technical training activities
• Document software changes test results technical findings and known system limitations
• Support field testing customer demonstrations and deployment activities as required
• Follow established software-development safety quality and configuration-management practices

ESSENTIAL EDUCATION WORK EXPERIENCE JOB SKILLS

• Bachelors degree in Computer Science Computer Engineering Electrical Engineering Robotics Mathematics or a related technical field
• Zero to two years of professional experience in computer vision robotics machine learning sensor processing or software engineering
• Academic internship research or project experience developing software in C or Python
• Basic understanding of computer vision robotics data processing machine learning or geometric algorithms
• Familiarity with cameras LiDAR radar GPS/GNSS or other robotic sensing technologies
• Familiarity with Linux-based software-development environments
• Basic understanding of version control systems such as Git
• Ability to analyze technical data and communicate findings clearly
• Strong troubleshooting learning and problem-solving skills
• Strong attention to detail and willingness to follow established engineering processes
• Ability to receive technical direction and collaborate effectively with cross-functional teams
• Strong written and verbal communication skills

PREFERRED QUALIFICATIONS

• Internship research capstone or personal-project experience involving robotics autonomous vehicles computer vision or machine learning
• Familiarity with ROS ROS2 or similar robotics middleware
• Exposure to OpenCV Point Cloud Library PyTorch TensorFlow or similar technologies
• Experience working with image data point clouds sensor data or machine-learning datasets
• Familiarity with coordinate systems transformations sensor calibration or data synchronization
• Experience developing software for embedded real-time or robotic systems
• Exposure to simulation recorded-data replay software-in-the-loop or hardware-in-the-loop testing
• Familiarity with construction equipment compactors heavy machinery or off-road vehicles
• Interest in terrain analysis soil compaction construction automation or autonomous heavy equipment
• Experience testing software or robotic systems in outdoor or field 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