Job description

Career Area: Engineering Job Description: Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you re joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don t just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Cat Technology collaborates with partners across the Caterpillar enterprise to advance technologies including autonomy and automation, which helps enhance site safety, productivity and efficiency across customer operations worldwide. Cat Technology also owns enterprise-wide initiatives in innovation, research and development, manufacturing automation and advanced materials, ensuring Caterpillar continues to lead the industry in technological excellence and engineering innovation. Job Summary: We are seeking an Embedded Software Senior Engineer to design, develop, integrate, and validate embedded software solutions on AI accelerated platforms for advanced, high-performance systems. This role requires deep expertise in Linux-based embedded systems, C , AI software toolchains, and system-level debugging, with growing emphasis on AI workloads, inference engines, and LLM-based capabilities at the edge. You will work at the intersection of hardware, operating systems, middleware, and AI acceleration, delivering robust, production-quality software for next-generation platforms. What You Will Do: Design, develop, and maintain embedded Linux software for AI accelerated compute platforms (CPU/GPU/SoC) Develop high-performance C components for embedded and real-time systems Integrate and optimize applications using the AI software ecosystem (e.g., CUDA, TensorRT, DeepStream, JetPack) Enable and optimize AI inference pipelines on embedded GPUs, including model deployment, acceleration, and performance tuning Work with LLM-related workloads at the edge, including model integration, inference optimization, and system constraints analysis Debug complex system-level issues across hardware, 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 closely 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 (BSP) 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 What You Will Have: Software Development: Knowledge of software development tools and activities; ability to produce software products or systems in line with product requirements. Teamwork: Knowledge of the necessity and value of teamwork; experience with; ability to work cooperatively towards shared goals and being supportive of others at all levels. Producing Results: Understanding of the criticality of getting things done in spite of current circumstances and the ability to utilize assigned resources and leverage back-channel resources (individuals or teams) to achieve or exceed planned outcomes. Top Candidates Will Have: Bachelor’s or Master’s degree in Computer Science, or 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 with supporting vision applications, autonomous vehicles, cybersecurity, hypervisors/virtualization, software-defined machine/vehicle, Linux Yocto, QNX Additional Information: Location is Irving, TX and requires working onsite 5 days per week Relocation assistance is available in accordance with Caterpillar policies. Travel is 10% Sponsorship is available for this position. #LI Summary Pay Range: $112,710.00 - $169,060.00 Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar. Benefits: Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits. Medical, dental, and vision benefits* Paid time off plan (Vacation, Holidays, Volunteer, etc.)* 401(k) savings plans* Health Savings Account (HSA)* Flexible Spending Accounts (FSAs)* Health Lifestyle Programs* Employee Assistance Program* Voluntary Benefits and Employee Discounts* Career Development* Incentive bonus* Disability benefits Life Insurance Parental leave Adoption benefits Tuition Reimbursement * These benefits also apply to part-time employees This position requires working onsite five days a week. Relocation is available for this position. Visa sponsorship is available for eligible applicants. Posting Dates: October 21, 2026 - November 3, 2026 Any offer of employment is conditioned upon the successful completion of a drug screen. Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply. Not ready to apply? Join our Talent Community .

Requirements

Must-haves

Your Work Shapes the World at Caterpillar Inc.
You will work at the intersection of hardware, operating systems, middleware, and AI acceleration, delivering robust, production-quality software for next-generation platforms.
Design, develop, and maintain embedded Linux software for AI accelerated compute platforms (CPU/GPU/SoC)
Develop high-performance C components for embedded and real-time systems
Integrate and optimize applications using the AI software ecosystem (e.g., CUDA, TensorRT, DeepStream, JetPack)
Enable and optimize AI inference pipelines on embedded GPUs, including model deployment, acceleration, and performance tuning
Work with LLM-related workloads at the edge, including model integration, inference optimization, and system constraints analysis
Debug complex system-level issues across hardware, 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 closely 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 (BSP) 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
Software Development: Knowledge of software development tools and activities; ability to produce software products or systems in line with product requirements.
Teamwork: Knowledge of the necessity and value of teamwork; experience with; ability to work cooperatively towards shared goals and being supportive of others at all levels.
Bachelor’s or Master’s degree in Computer Science, or 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 with supporting vision applications, autonomous vehicles, cybersecurity, hypervisors/virtualization, software-defined machine/vehicle, Linux Yocto, QNX
Location is Irving, TX and requires working onsite 5 days per week

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Platform: workday
Effort: long

Benefits

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Dental

Vision

401(K)

Paid Time Off

Parental Leave