Embedded Software Engineer 4

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.