Perception Engineer IV - Lehi - Autonomous Solutions

    Autonomous Solutions
    Autonomous Solutions Lehi

    1 day ago

    Description

    At ASI, we are revolutionizing industries with state-of-the-art autonomous robotics solutions. Within the fields of agriculture, construction, landscaping, and logistics, we deliver technologies that enhance safety, productivity, and efficiency. With our core values of Simplicity, Safety, Transparency, Humility, Attention to Detail and Growth guiding everything we do, we're shaping the future of automation in dynamic markets.

    As a Perception Engineer IV, you will focus on developing, optimizing, and deploying AI driven perception systems that enable our robots to interpret and understand their environment. In this role you will build on the foundation of our AI Applications with a deeper focus on computer vision, sensor data processing, and real time perception pipelines. You will build advanced detection, classification, and tracking models and ensure that these capabilities function reliably in diverse field conditions.

    Responsibilities:

    • Build and maintain perception models for object detection, semantic classification, instance segmentation, and tracking across diverse environments.
    • Optimize perception pipelines for accuracy, speed, robustness, and reliability under real world field conditions including varying lighting, terrain, and sensor noise.
    • Embed perception models into production systems and platform level services and ensure compatibility with planning, control, and safety modules.
    • Convert perception models into scalable services, APIs, or embedded libraries tailored for real time robotic workloads.
    • Tune models and pipelines to meet real-time performance requirements including low latency inference and efficient resource usage.
    • Collaborate closely with robotics engineers, sensor experts, and software developers to align perception outputs with downstream system needs.
    • Integrate models with sensor suites including cameras, LiDAR, radar, depth sensors, and multimodal fusion pipelines.
    • Test, validate, and evaluate perception systems using simulation, recorded datasets, and field deployment to ensure reliability and predictable behavior.
    • Monitor deployed perception systems and implement improvements or retraining strategies to enhance performance over time.

    Required Qualifications:

    • Bachelor's degree in Computer Science, Robotics, Electrical Engineering, or a related technical field.
    • 10+ years of experience as a Perception Engineer, or similar working experience.
    • Experience developing computer vision or perception models for detection, classification, segmentation, or tracking.
    • Proficiency in programming languages such as Python, C, ROS, and C++ with an emphasis on C++ 11 or newer.
    • Strong understanding of developing multithreaded embedded software applications in Linux.
    • Hands on experience with frameworks such as TensorFlow or PyTorch and perception specific libraries or toolsets.
    • Familiarity with camera technologies, LiDAR, radar, and sensor fusion techniques.
    • Strong analytical and problem-solving abilities with the ability to design solutions for complex field conditions.
    • Thorough understanding of mathematics, including linear algebra, especially solving least-squares equations and performing coordinate system transformations.

    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 non-discrimination in employment and is dedicated to providing reasonable accommodations for individuals with disabilities throughout the hiring process.


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