Senior SMTS Application Engineering

GlobalFoundries

. Serve as the primary technical advisor for customer engagements, guiding onboarding, solution enablement, software integration, deployment, and production ramp activities.

Posted 10/21/2026full-timeRichardson • Texas • United StatesMid-LevelSenior💰 $118,000 - $210,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Application Engineering and Customer Success Engineering, with a strong focus on AI model deployment, technical troubleshooting, and customer engagement. Proficient in developing technical training and collateral while managing multiple projects in fast-paced environments.

Highest-signal resume keywords

Application EngineeringCustomer Success EngineeringAI Model DeploymentTechnical TroubleshootingPerformance Benchmarking

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

DebuggingProblem-SolvingAI InferenceNeural NetworksModel OptimizationPythonC/C++LinuxSoftware Debugging ToolsEmbedded Systems

Soft Skills

Excellent Communication SkillsPresentation SkillsCustomer Engagement

Tools & Technologies

MIPS PlatformsDevelopment ToolchainsSDKsCompilersRuntime Software

Industry Keywords

Semiconductor IPEmbedded ProcessorsAI AcceleratorsRoboticsEdge AIIndustrial AutomationComputer VisionAutomotiveIntelligent Embedded Systems

Tech Stack

Tools & technologies

LinuxPythonC++

About the role

Key responsibilities & impact

Serve as the primary technical advisor for customer engagements, guiding onboarding, solution enablement, software integration, deployment, and production ramp activities.
Drive customer outcomes by capturing requirements, feature requests, and product enhancement opportunities and advocating across Product Management and Engineering.
Investigate, troubleshoot, and resolve complex customer-reported technical issues through cross-functional escalations and root-cause analysis.
Support deployment of customer AI models and applications on MIPS platforms through optimization, profiling, benchmarking, performance analysis, and validation.
Develop and deliver technical training, workshops, demonstrations, and customer enablement activities.
Create technical collateral, application notes, deployment guides, benchmarking reports, and best-practice recommendations.
Participate in customer health reviews, support reviews, and technical status discussions.
Monitor adoption progress, technical risks, escalations, and recurring support trends.
Contribute to metrics, dashboards, reporting, and continuous improvement initiatives.
Perform activities safely and support Environmental, Health, Safety & Security requirements and programs.

Requirements

What you’ll need

Bachelor's (or better) degree in Electrical Engineering, Computer Engineering, Computer Science, AI/ML, or a related technical discipline.
5+ years of experience in Application Engineering, Solutions Engineering, Customer Success Engineering, Technical Support Engineering, or a related customer-facing role.
Experience supporting semiconductor IP, embedded processors, AI accelerators, software platforms, SDKs, or development toolchains.
Strong debugging and problem-solving skills across software, hardware, and system-level environments.
Experience working directly with customers to resolve complex technical issues.
Excellent written, verbal, and presentation communication skills.
Ability to manage multiple technical engagements in a fast-paced environment.
Preferred: Experience with AI inference, neural networks, model optimization, AI deployment, or performance benchmarking.
Preferred: Familiarity with RISC-V architectures, embedded systems, processors, accelerators, compilers, or runtime software.
Preferred: Experience with Python, C/C++, Linux, scripting, and software debugging tools.
Preferred: Knowledge of robotics, edge AI, industrial automation, computer vision, automotive, or intelligent embedded systems.
Preferred: Experience working with globally distributed teams and customers.