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Perception Algorithm Engineer Jobs in Illinois (NOW HIRING)

Embedded Software Engineer 4

Mossville, IL · On-site

$95K - $126K/yr

The engineer will lead teams responsible for perception, planning, control, and platform capabilities, moving algorithmic concepts from research prototypes into robust, field-ready solutions. Core ...

Embedded Software Engineer

Mossville, IL · On-site

$95K - $126K/yr

Embedded Software Engineer 4 location: Mossville, IL (Onsite) Duration: 6-month contract Core ... Hands-on experience with perception systems, sensor fusion, or motion planning algorithms.

Embedded Software Engineer

Mossville, IL · On-site

$95K - $126K/yr

Embedded Software Engineer 4 location: Mossville, IL (Onsite) Duration: 6-month contract Core ... Hands-on experience with perception systems, sensor fusion, or motion planning algorithms.

Embedded Software Engineer

Mossville, IL · On-site

$95K - $126K/yr

Embedded Software Engineer 4 location: Mossville, IL (Onsite) Duration: 6-month contract Core ... Hands-on experience with perception systems, sensor fusion, or motion planning algorithms.

... algorithms with extensive software engineering practice and the ability to implement reliable software modules with highly-usable APIs. Network Perception is an exciting high growth early stage ...

... algorithms with extensive software engineering practice and the ability to implement reliable software modules with highly-usable APIs. Network Perception is an exciting high growth early stage ...

... perception, software, mechatronics, and controls work. As part of our team, you will design ... Knowledge of algorithmic concepts such as scene graphs, spatial data structures, and physics ...

... perception, software, mechatronics, and controls work. As part of our team, you will design ... Knowledge of algorithmic concepts such as scene graphs, spatial data structures, and physics ...

Perception Algorithm Engineer information

What are the key skills and qualifications needed to thrive as a Perception Algorithm Engineer, and why are they important?

To thrive as a Perception Algorithm Engineer, you need a strong background in computer vision, machine learning, and programming (typically C++ or Python), often supported by a degree in computer science, robotics, or a related field. Familiarity with tools like TensorFlow, PyTorch, OpenCV, and ROS, as well as experience with sensor data (e.g., LiDAR, cameras), is crucial. Strong analytical thinking, problem-solving abilities, and effective teamwork are standout soft skills for this role. These skills are vital to develop robust perception systems that enable autonomous vehicles and robots to interpret and interact safely with complex real-world environments.

What is a Perception Algorithm Engineer?

A Perception Algorithm Engineer is a professional who develops algorithms that enable machines—such as autonomous vehicles or robots—to interpret and understand sensory data from their environment. This typically involves processing data from cameras, lidar, radar, and other sensors to identify objects, track movement, and understand surroundings. Perception Algorithm Engineers work with computer vision, sensor fusion, and machine learning techniques to create reliable and efficient perception systems. Their work is crucial in making machines aware of their surroundings and enabling them to respond appropriately. They often collaborate with hardware, software, and robotics teams to integrate their algorithms into real-world applications.

What are some common challenges faced by Perception Algorithm Engineers when integrating their solutions into autonomous systems?

Perception Algorithm Engineers often encounter challenges when ensuring their algorithms perform reliably in diverse real-world environments, such as varying lighting, weather conditions, and sensor noise. Integrating algorithms with hardware requires close collaboration with robotics and systems engineering teams to optimize performance and latency. Additionally, balancing accuracy with computational efficiency is crucial, as perception modules must run in real time on embedded systems. Addressing these challenges involves rigorous testing, continuous model improvement, and effective cross-functional communication.
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Embedded Software Engineer 4

Tech Tammina

Mossville, IL • On-site

$95K - $126K/yr

Contractor

Re-posted 28 days ago


Job description

Role: Embedded Software Engineer 4
Location: Mossville, IL (Onsite)
Duration: 6-month contract
Interview: In-person ideal, can be remote if candidate will be relocating
Position Overview:
This is a high-impact technical leadership role focused on developing and scaling production-quality autonomy software. The engineer will lead teams responsible for perception, planning, control, and platform capabilities, moving algorithmic concepts from research prototypes into robust, field-ready solutions.
Core Responsibilities:
• Architectural Leadership: Design and own major autonomy software components across perception, localization, and planning layers to ensure systems are scalable and maintainable.
• Production Integration: Translate research and AI/ML prototypes into real-time, production-grade software integrated with sensors (LiDAR, Radar, Camera) and vehicle networks.
• Mentorship: Set coding standards and best practices while guiding junior and mid-level engineers through rigorous design and code reviews.
• Field Problem Solving: Lead root-cause analysis for complex issues observed in simulation, Hardware-in-the-Loop (HIL), or actual field deployments.
Candidate Requirements:
• Experience: 8+ years of professional software development with a focus on autonomy, robotics, or real-time systems.
• Core Tech Stack: Expert-level C++ (Required) and proficiency in Python.
• Systems Knowledge: Deep understanding of Linux-based development, multithreading, memory management, and performance optimization.
• Education: Bachelor's degree in Computer Science, Robotics, or a related field (Master's preferred).
Preferred Technical Skills:
• Experience with robotics frameworks (e.g., ROS/ROS2).
• Hands-on experience with perception systems, sensor fusion, or motion planning algorithms.
• Familiarity with simulation pipelines (SIL/HIL) and functional safety concepts.
• Background in developing software for heavy industrial, automotive, or off-highway autonomous systems.
The Value Proposition:
• Production-Scale Impact: Unlike R&D-only roles, this position focuses on autonomy software that is actively moving to production on large-scale machinery.
• Technical Influence: As a senior leader, this individual will shape the long-term platform strategy and technical roadmap for autonomous systems.
Global Collaboration:
Work within a highly cross-functional, multidisciplinary environment alongside experts in AI, hardware, and systems engineering.