What are the responsibilities and job description for the Senior Field Application Engineer – Bay Area position at DEEPX?
About DeepX Co., Ltd.
DeepX is a forward-thinking startup at the forefront of AI semiconductor innovation, focused on developing groundbreaking technologies that will revolutionize everyday life through artificial intelligence. As the AI chipset market is projected to exceed $70 billion by 2025, DeepX is positioned to play a critical role in shaping this future.
DeepX’s technological leadership was recognized when the company was named an honoree for five prestigious innovation awards at CES 2024 and CES 2026—marking us as the first AI semiconductor company to achieve such an honor.We invite you to be part of DeepX’s transformative journey, where you will work alongside the brightest minds to create world-class AI technology and contribute to advancing civilization into a super-intelligent future.
Company Intro: https://youtu.be/LYjFcKvj4wY?si=2VHjYLjoRrUWeabm
DeepX: Leading the Era of Physical AI
DeepX stands at the pinnacle of the "Next Big Thing," leading the era of Physical AI. By combining the success strategies of Arm’s "ultra-low power technology" and Qualcomm’s "core patent-based IP portfolio," the company is spearheading the global on-device AI semiconductor market.Global
Recognition & IP Dominance
DeepX has validated its world-class power efficiency and cost-effectiveness through performance testing with over 350 global companies. To secure its market position, the company has built a formidable IP portfolio by filing more than 400 AI semiconductor-related patents worldwide.
Exponential Growth
DeepX’s enterprise value, which stood at 15.1 billion KRW in 2019, was recognized at approximately 730 billion KRW in early 2024. In the current Pre-IPO round, the company is expected to achieve Unicorn status valuation.
Technological Edge & Product Roadmap
DeepX’s core competitiveness lies in its unrivaled energy efficiency and thermal management. This was intuitively demonstrated through the "Butter Test" showcased at CES and Computex.
- Current Lineup: Completed development of the DX-M1 (25 TOPS) and DX-H1 (100 TOPS) for the vision AI market.
- Mass Production: The flagship DX-M1 is being manufactured using Samsung’s 5nm process, with over 50 mass-production projects scheduled to begin in the second half of 2025.
- Next-Generation Innovation: DeepX is accelerating the development of the DX-M2, a next-gen chip based on Samsung’s 2nm process. It will support Large Language Models (LLM) with up to 100B parameters (MoE-based) and is being developed in collaboration with leading companies for mass production in 2027.
Future Value Proposition
By enabling 100B parameter models to run on-device, DeepX aims to eliminate 80% of LLM queries currently sent to data centers. This effectively creates 5x the virtual AI infrastructure.
With a target power consumption of under 5W, DeepX provides the overwhelming power efficiency required to integrate Generative AI into every vertical, including Robotics, Automotive, and AI PCs.
Job Description
Responsibilities:
Technical Support & Consulting: Engage with customers to understand their technical requirements, offering expert guidance and in-depth support for NPU products and associated software.
Product Demonstrations & Training: Lead engaging product demonstrations and technical workshops, while also creating comprehensive training materials tailored to customer needs.
Issue Resolution & Continuous Improvement: Investigate technical challenges based on customer feedback, diagnose root causes, and propose practical solutions to optimize product performance.
Internal Collaboration: Collaborate closely with R&D and product development teams at our headquarters to refine products, develop detailed technical documentation, and suggest enhancements.
Technology Research & Strategy: Support the development of differentiated technical strategies by analyzing emerging global trends, competitor activities, and advancing innovation in the AI semiconductor space.
Qualifications:
BS or MS degree in computer science, Electronics Engineering, or a related discipline.
Solid experience with deep learning frameworks, including TensorFlow, PyTorch, and ONNX.
Ideally, hands-on experience with embedded systems, SoCs, or hardware-related development and support.
Strong analytical and problem-solving abilities to address complex technical challenges.
Excellent communication skills to collaborate effectively with customers and internal teams.
A keen interest in learning new technologies and a proven ability to adapt to rapidly evolving landscapes.
Preferred Qualifications:
Experience in AI, machine learning, or deep learning projects with a focus on real-world applications.
Expertise in technical support or consulting, particularly for computing devices like NPUs or GPUs.
Experience collaborating with global clients, and proficiency in additional languages such as Korean or Chinese.
Experience in creating technical documentation, leading seminars, and facilitating workshops.