JOB ID 28220

Senior AI Software Application Engineer

  • IT, SE(Control, Embedded), SE(Web, OPEN), SE(General purpose), FAE
  • Kanagawa
  • ¥15,000,000~¥35,000,000

The company is a leading global provider of advanced semiconductor manufacturing solutions. With a focus on delivering cutting-edge process technologies, they support a wide range of industries, including automotive, telecommunications, consumer electronics, and data centers. Known for its extensive manufacturing capabilities, the company operates multiple state-of-the-art fabrication facilities worldwide. Their innovative approach ensures the production of high-performance chips for various applications, driving technological advancements and enabling the next generation of smart devices. Committed to sustainability, the company integrates environmental responsibility into its operations, aiming to reduce energy consumption and minimize its environmental footprint. With a strong emphasis on customer collaboration, they provide tailored solutions to meet the specific needs of clients across diverse sectors.

As a Senior AI Software Application Engineer, you will play a key role in enabling customer success by supporting the deployment, optimization, and adoption of AI applications on advanced semiconductor platforms. You will work closely with customers to accelerate the development of AI workloads, including computer vision, transformer-based, and large language model applications. Acting as a bridge between customers, engineering teams, and R&D, you will troubleshoot technical issues, provide performance optimization guidance, and drive successful product adoption. You will also develop proof-of-concept solutions, benchmarks, and demonstrations that showcase the capabilities of the company's AI software stack. In addition, you will deliver technical training, workshops, and documentation to help customers maximize the value of AI technologies. The role requires a strong combination of AI software expertise, embedded systems knowledge, and customer-facing communication skills. This is an ideal opportunity for an engineer who enjoys working at the intersection of AI, software, and semiconductor hardware while influencing next-generation AI solutions.

Apply for this job

Job Description

  • Responsibilities
    - Support customers in deploying, optimizing, and troubleshooting AI workloads, including CNNs, Transformers, and LLMs, on customer silicon platforms.
    - Deliver technical training, workshops, and presentations on AI software tools, methodologies, and best practices.
    - Analyze, reproduce, and resolve software issues across pre-silicon and post-silicon development environments.
    - Collaborate with R&D teams to validate bug fixes, feature enhancements, and performance optimizations before release.
    - Develop proof-of-concept applications, benchmarks, and demo platforms to showcase AI software capabilities.
    - Perform AI performance analysis and recommend software optimizations and hardware/software co-design improvements.
    - Create technical documentation, application notes, tutorials, and other customer-facing materials.
    - Act as the technical liaison between customers and internal engineering teams, driving issue resolution and technical alignment.
    - Support customer meetings, technical reviews, and onsite or virtual engagements as needed.
  • Requirements
    - 6+ years (Master's) or 10+ years (Bachelor's) of experience in AI software, embedded systems, or semiconductor-related development.
    - Strong knowledge of AI/ML technologies, including CNNs, Transformers, LLMs, model optimization, and deployment workflows.
    - Proficiency in Python, C/C++, and Shell scripting, with hands-on software development, debugging, and performance optimization experience.
    - Experience developing and optimizing AI applications on embedded systems, SoCs, and hardware accelerators.
    - Ability to analyze, troubleshoot, and resolve complex software issues across pre-silicon and post-silicon environments.
    - Strong customer-facing communication skills, with experience supporting customers, delivering technical training, and working cross-functionally with engineering teams.
  • Preferred
    - Experience with AI hardware accelerators such as NPUs, GPUs, DSPs, or custom AI engines.
    - Hands-on experience with AI frameworks including PyTorch, TensorFlow, ONNX, or similar ecosystems.
    - Knowledge of Linux device driver development and debugging.
    - Familiarity with compiler technologies, runtime frameworks, and AI software stacks.
    - Understanding of heterogeneous computing architectures and hardware/software co-optimization techniques.
    - Experience optimizing AI workloads across both software and hardware to maximize performance and efficiency.
  • Location
    Kanagawa
  • Work Style
    Remote working possible, Flex working possible
  • Salary
    ¥15,000,000~¥35,000,000
  • Attractive
    Points
    Listed company, Stock options available, Overseas business trip, Overseas communication, Foreign capital company, Weekends and holidays off, Make use of languages, Major corporation

Apply for this job

Return to list

Consultation

Our expert team is dedicated to empowering your career change, crafting tailored career plans, and securing the best job opportunities in the automotive and mobility sectors.

Connect with Us

Search by Location