Ai Applications Engineer

Summary

Join Quadric as a Corporate Applications Engineer and bridge the gap between development and our users. Lead technical customer support, collaborating with various teams. Develop application materials showcasing our innovative GPNPU architecture. This senior role demands expertise in system architecture, algorithm optimization, and technical leadership. You will create demos, benchmarks, and reference implementations using our SDK. Deep technical mastery of our product ecosystem is crucial. Occasional travel is required.

Requirements

• Bachelor’s or Master's in computer science and/or Electronics Engineering field
• Minimum 3+ years experience working with customers/business development supporting SDKs
• Must be able to demonstrate basic knowledge of software perception systems, and/or Computer Vision
• Proficiency in Python
• Experience describing, building, running and deploying Docker containers
• Experience with Linux or Unix based operating systems
• Experience with at least one of the following neural network / machine learning frameworks: PyTorch, Tensorflow, Tensorflow-Lite
• Solid understanding of intermediate git concepts such as branching, rebasing, merge conflict resolution, etc
• Ability to methodically debug problems, relay information to the engineering team, and test and deploy system updates and upgrades

Responsibilities

• Develop reference implementations, demos, and benchmarks using Quadric's SDK to showcase product capabilities and performance
• Provide technical leadership and support to field application engineers worldwide
• Design and implement optimization strategies for customer applications on Quadric's platform
• Work with Business Development to articulate technical value propositions to potential customers
• Analyze complex customer technical requirements and architect optimal solutions leveraging Quadric's technology
• Create detailed technical documentation, application notes, and implementation guides
• Develop and deliver advanced technical training for customers and internal teams
• Collaborate with Product and Engineering teams to influence product roadmap based on customer needs
• Troubleshoot complex system-level issues and develop solutions in collaboration with Engineering
• Stay current with industry trends, competitive technologies, and emerging applications

Preferred Qualifications

• Experience quantizing, running and debugging neural networks with PyTorch/ONNX runtime
• Experience supporting parallel C / C++ languages a plus (CUDA, OpenVX, NEON, etc.)

Benefits

• 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