Senior AI Software Application Engineer
At a glance
Senior AI Engineering role at Globalfoundries. Yokohama · full-time.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Help customers run CNN, transformer and LLM workloads on their silicon, tuning them with the AI software tools
- Recreate customer software problems, find their causes and work with R&D to check fixes before release
- Build proof-of-concept projects, benchmarks and demos that show what the software toolchain can do
- Teach customers through training sessions and workshops, and write guides and application notes
- Assess AI performance bottlenecks and recommend software or hardware-software changes to improve results
What you bring
- A relevant master's degree plus at least six years in industry, or a bachelor's degree plus at least ten years
- Strong Python, shell and C/C++ skills, with substantial experience designing, debugging and optimizing software
- Deep knowledge of modern AI models and deployment, plus hands-on work with embedded systems and SoC platforms
- Experience profiling and improving AI workloads on embedded processors or accelerators, across simulation and physical hardware
Who this fits
This senior role suits an engineer who can combine AI software development with embedded performance work and direct customer support. You will work with customers and internal engineering teams, and support onsite or virtual workshops as needed. The position is based in Yokohama, Japan.
From the employer
About GF
GlobalFoundries (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 www.gf.com.
Introduction
We are seeking an experienced AI Software Application Engineer to enable customer success through AI software deployment, optimization, training, and technical support. This role combines deep expertise in AI algorithms, software development, embedded systems, and customer engagement. The successful candidate will work closely with customers, R&D teams, and application engineers to accelerate AI application development and deployment on customer silicon using our AI software toolchain.
Key Responsibilities
Develop and deliver technical training programs, workshops, and presentations covering the company's AI software toolchain, methodologies, and best practices.
Support customers in mapping, optimizing, and deploying AI workloads—including CNNs, transformers, and LLMs—on customer silicon platforms using the company's software tools.
Reproduce, analyze, troubleshoot, and resolve software issues reported by customers across both pre-silicon and post-silicon development stages.
Collaborate closely with R&D teams to validate bug fixes, feature enhancements, and performance optimizations before customer release.
Develop proof-of-concept solutions, benchmark applications, and demonstration platforms that showcase the capabilities of the AI software toolchain.
Analyze AI performance bottlenecks and provide recommendations for software optimization and hardware/software co-design improvements.
Create technical documentation, application notes, tutorials, and customer-facing collateral.
Serve as a technical liaison between customers and internal engineering teams, driving efficient issue resolution and technical alignment.
Support customer engagements, technical reviews, and onsite or virtual workshops as required.
Required Qualifications
Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or a related field with a minimum of 6 years of relevant industry experience; or
Bachelor's degree with a minimum of 10 years of relevant industry experience.
Technical Skills & Experience
AI and Machine Learning
Deep understanding of modern AI and machine learning algorithms, including:
Convolutional Neural Networks (CNNs)
Transformer architectures
Large Language Models (LLMs)
Deep learning optimization techniques
AI model deployment workflows
Software Development
Strong programming skills in:
Python
Shell scripting
C/C++
Extensive experience in software design, development, debugging, and optimization.
Embedded Systems
Solid experience developing and optimizing software on embedded systems and SoC platforms.
Experience with performance analysis, profiling, and optimization of AI workloads on embedded processors and accelerators.
Familiarity with software development across pre-silicon simulation/emulation environments and post-silicon hardware platforms.
Preferred Qualifications
Knowledge of Linux device driver development and debugging.
Experience with AI hardware accelerators such as NPUs, DSPs, GPUs, or custom AI engines.
Familiarity with compiler technologies, runtime frameworks, and AI software stacks.
Experience with AI frameworks such as PyTorch, TensorFlow, ONNX, or similar ecosystems.
Understanding of heterogeneous computing architectures and hardware/software co-optimization methodologies.
GlobalFoundries is an equal opportunity employer, cultivating a diverse and inclusive workforce. We believe having a multicultural workplace enhances productivity, efficiency and innovation whilst our employees feel truly respected, valued and heard.
As an affirmative employer, all qualified applicants are considered for employment regardless of age, ethnicity, marital status, citizenship, race, religion, political affiliation, gender, sexual orientation and medical and/or physical abilities.
All offers of employment with GlobalFoundries are conditioned upon the successful completion of background checks, medical screenings as applicable and subject to the respective local laws and regulations.
Information about our benefits you can find here: https://gf.com/about-us/careers/opportunities-asia