SMTS Application Engineering

About GFGlobal

Foundries (GF) is a leading manufacturer of essential semiconductors, enabling AI at scale from the cloud to the physical world. Through deep partnerships with customers, GF delivers differentiated, power efficient and high-performance solutions for high growth markets. With global manufacturing operations across the U.S., Europe and Asia, GF is a trusted and holistic technology partner for customers around the world. GF’s talented, global team remains focused every day on security, longevity, and sustainability.

For more information, visit . Summary of RoleMIPS is seeking a highly motivated Corporate Application Engineer (CAE) to help customers successfully deploy and adopt Physical AI solutions built on our portfolio of RISC-V processors, AI accelerators, software tool chains, SDKs, and edge AI platforms.

As a trusted technical advisor, you will work directly with customers to accelerate onboarding, enable solution deployment, optimize AI workloads, resolve technical challenges, and drive successful production adoption. You will serve as a key link between customers and internal Engineering, Product Management, and Customer Program Management teams to ensure customers achieve measurable business and technical outcomes.

Essential Responsibilities      Customer Success & Technical Leadership Serve as the primary technical advisor for customer engagements, building trusted relationships and guiding customers through onboarding, solution enablement, software integration, deployment, and production ramp activities while accelerating adoption of MIPS technologies, tool chains, and platforms.

Drive successful customer outcomes through proactive technical leadership, capturing customer requirements, feature requests, and product enhancement opportunities while advocating for customer needs across Product Management and Engineering.
Technical Support, Optimization & Deployment Investigate, troubleshoot, and resolve complex customer-reported technical issues by coordinating cross-functional escalations, driving root-cause analysis, communicating resolution plans, and developing reusable knowledge and best practices.

Support deployment of customer AI models and applications on MIPS platforms, including optimization, profiling, benchmarking, performance analysis, and validation of deployment readiness, while recommending software, hardware, and configuration improvements.
Training & Technical Enablement Develop and deliver technical training, workshops, demonstrations, and customer enablement activities covering development tools, SDKs, runtimes, simulators, and deployment workflows.

Create technical collateral, application notes, deployment guides, benchmarking reports, and best-practice recommendations that improve customer productivity, accelerate adoption, and demonstrate customer value.
Operational Excellence & Customer Health Participate in customer health reviews, support reviews, and technical status discussions while monitoring adoption progress, technical risks, escalations, and recurring support trends.

Contribute to metrics, dashboards, reporting, and continuous improvement initiatives that enhance customer success, operational effectiveness, and Application Engineering execution.

Other Responsibilities:

Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements, and programs.

Required Qualifications 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 tool chains.

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 Qualifications

Experience with AI inference, neural networks, model optimization, AI deployment, or performance benchmarking.

Familiarity with RISC-V architectures, embedded systems, processors, accelerators, compilers, or runtime software.

Experience with Python, C/C++, Linux, scripting, and…