Embedded Software Senior Engineer

Caterpillar•Irving, TX

21h•Onsite

About The Position

Caterpillar is seeking an Embedded Software Senior Engineer to design, develop, integrate, and validate embedded software solutions on AI-accelerated platforms for advanced, high-performance systems. The role focuses on Linux-based embedded systems, C++, AI software toolchains, and system-level debugging, with work involving AI workloads, inference engines, and LLM-based capabilities at the edge. The engineer works across hardware, operating systems, middleware, and AI acceleration to deliver production-quality software for next-generation platforms. The position is onsite five days per week in Irving, Texas, with 10% travel. Relocation assistance and visa sponsorship are available, subject to applicable policies and eligibility.

Requirements

Knowledge of software development tools and activities, and ability to produce software products or systems in line with product requirements.
Knowledge of the necessity and value of teamwork, with the ability to work cooperatively toward shared goals and support others at all levels.
Understanding of the importance of achieving results and the ability to use assigned and cross-team resources to meet or exceed planned outcomes.

Nice To Haves

Bachelor’s or Master’s degree in Computer Science or a related field.
5+ years in platform architecture, edge computing, and embedded systems, with proven strategic leadership.
Expertise in edge AI frameworks, hardware acceleration, real-time systems, and edge security.
Familiarity with IoT ecosystems, industrial edge platforms, and cloud-edge orchestration.
Exceptional communication, collaboration, and strategic thinking abilities.
Experience supporting vision applications, autonomous vehicles, cybersecurity, hypervisors/virtualization, software-defined machines or vehicles, Linux Yocto, or QNX.

Responsibilities

Design, develop, and maintain embedded Linux software for AI-accelerated compute platforms, including CPU, GPU, and SoC systems.
Develop high-performance C++ components for embedded and real-time systems.
Integrate and optimize applications using AI software ecosystems such as CUDA, TensorRT, DeepStream, and JetPack.
Enable and optimize AI inference pipelines on embedded GPUs, including model deployment, acceleration, and performance tuning.
Work with edge LLM workloads, including model integration, inference optimization, and analysis of system constraints.
Debug system-level issues across hardware, the Linux kernel, drivers, middleware, and applications.
Perform root-cause analysis of performance, stability, and functional issues in embedded environments.
Develop and execute validation and verification strategies, including unit, integration, and system testing.
Collaborate with hardware, systems, AI/ML, and platform teams to ensure end-to-end solution readiness.
Optimize software for performance, latency, memory footprint, and power consumption.
Support software bring-up on new hardware platforms and assist with board support package integration.
Contribute to software architecture decisions, technical reviews, and coding standards.
Mentor junior engineers and provide technical leadership on complex embedded and AI-enabled systems.