Required Field Application Engineer - AI Accelerators
In this position:
You will serve as the primary technical interface between us and our customers for our AI accelerator product line and future accelerator platforms. You will support customers through the full product lifecycle - from pre-sale technical engagement and proof-of-concept development through production deployment and ongoing field support. You will work hand-in-hand with R&D to investigate and resolve complex issues, develop reference applications and demos, and act as a trusted technical advisor to both customers and internal teams.
Responsibilities
Develop a comprehensive understanding of each customers use case, system architecture, and integration requirements, serving as their primary technical point of contact for all accelerator-related topics.
Provide deep technical support across the accelerator portfolio, including the Dataflow Compiler, model compilation, and runtime integration.
Reproduce, investigate, and drive resolution of complex hardware and software issues in close collaboration with R&D, spanning PCIe integration, driver-level debugging, inference pipeline optimization, and power management.
Lead technical alignment with customers - clearly communicating issue status, setting expectations, coordinating across internal teams, and ensuring customer satisfaction.
Design and implement customer-facing demo and reference applications in C/C++, showcasing accelerator capabilities at major industry events such as CES and other trade shows.
Support pre-sale technical activities including solution scoping, feasibility assessments, and technical presentations to prospective customers.
Provide knowledge transfer and technical enablement to FAEs and partners to scale field support effectiveness.
Collaborate closely with R&D, Product, and Business teams to translate customer needs into actionable product requirements and roadmap input.
Requirements: Bachelors degree in Electrical Engineering, Computer Engineering, or a related field
7+ years of hands-on experience as an application, software, or embedded engineer
Strong programming skills in C/C++
Deep proficiency in Linux environments, including kernel-level debugging and driver interaction
Experience with PCIe-based hardware integration and embedded system architectures
Strong debugging and problem-solving skills at the system level
Excellent interpersonal and communication skills - able to interface confidently with both engineering teams and customer stakeholders
Quick learner with the ability to span multiple technological disciplines while maintaining a strong system-level perspective
Highly organized, with the ability to manage and follow up on multiple parallel customer engagements
Fluency in English
Advantages:
Prior experience with AI inference frameworks, neural network compilation, or edge AI deployment
Hands-on experience with our products or other AI accelerator platforms
Customer-facing or FAE experience
Fluency in additional languages.
This position is open to all candidates.