AI Applications Engineer

Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code. Role: The AI Applications Engineer is the key bridge between development engineering and hands‑on users in the field. The AI Application Engineer will [1] integrate Quadric product and software stack into AI/LLM frameworks and ecosystem; [2] develop AI applications based on Quadric products; [3] lead technical customer/developer support initiatives in collaboration with field application engineers, Business Development, Product, and Engineering teams; and [4] develop technical materials to support the use of Quadric product. This position requires exceptional technical depth, strong coding capabilities, and advanced troubleshooting skills to develop AI applications, benchmarks, and reference implementations using Quadric's SDK. This senior technical role demands expertise in system architecture, AI frameworks, algorithm optimization, and the ability to provide technical leadership across global FAE teams. Candidates must demonstrate deep technical mastery of Quadric's product ecosystem including HPC Hardware (IP, Chips, Boards), SDK, and various algorithms (NN, DSP, Vision, Path Planning, etc.). Responsibilities: Customize AI/LLM frameworks and integrate Quadric products and SDK into AI/LLM ecosystem Develop AI applications, demos using Quadric's SDK and AI frameworks to showcase product capabilities and performance to developer community and customers Design and implement optimization strategies for AI/LLM applications on Quadric's platform Analyze complex AI/LLM application requirements/issues and architect optimal solutions leveraging Quadric's technology Provide technical leadership, training and support to developer community and customers worldwide Work with Business Development to articulate technical value propositions to potential customers Collaborate with Product and Engineering teams to influence product roadmap based on application needs Stay current with industry trends, competitive technologies, and emerging applications Occasional travel required to customer sites Bachelor’s or Master’s in Computer Science and/or Electronics Engineering field. 5+ years experience with AI/LLM frameworks in at least one of the following: PyTorch, vLLM, Tensorflow, onnxruntime, llamacpp; deep understanding of the framework's codebase Demonstrate knowledge of computer vision, perception, or LLM, and experience in related application development Proficiency in Python and C/C++, experience with CUDA, NEON a plus Experience with Linux, docker based development environments Experience with quantization and model accuracy analysis a plus Ability to methodically debug problems, relay information to the engineering team, and test and deploy system updates and upgrades. Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Work From Home Free Food & Snacks Stock Option Plan #J-18808-Ljbffr