7件のsenior software development engineerのおすすめの求人

Senior AI Software Application Engineer
GLOBALFOUNDRIES —横浜市
- 修士号
- 大卒
- 機械学習
6時間前
IT Manager, Ops Tech Solutions Delivery
Amazon Japan G.K. —尼崎市
- Windows
- 修士号
- 大卒
【IT】Lead Developer, Prime Services IT (Equity)
野村證券株式会社 —千代田区大手町
- 管理職・マネジメント経験
- 英語
- オフィス
IT Manager, Ops Tech Solutions (OTS) - Fixed Field
Amazon Japan G.K. —上尾市
- 管理職・マネジメント経験
- Windows
- 修士号
Radio HW TRX Design
Ericsson —横浜市
- 修士号
- 大卒
- スクリプト
Automotive GenAI Presales Manager - Bilingual【IoTDE - No.334】
日本タタ・コンサルタンシー・サービシズ株式会社 —港区
- 一部在宅
- 二か国語
- Azure
- 英語
Java Developer
ランスタッド株式会社 —東京都 23区
- 年収 700万円 ~ 1,000万円
- 英語
- Java
- 大卒
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Senior AI Software Application Engineer

GLOBALFOUNDRIES -
横浜市

今すぐ応募する

求人の詳細

6時間前

資格とスキル

TensorFlow
テクニカルサポート
修士号
C
大卒
機械学習
コンピュータハードウェア
スクリプト
ソフトウェア開発
Linux
AI
Python
Shellスクリプト
デバッグ経験

仕事内容の詳細

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.

G lobal F oundries 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

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Senior AI Software Application Engineer

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