Quadric
We are looking for a Corporate Applications Engineer to bridge the gap between development engineering and field users at Quadric.
Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture. Our co‑optimized software and hardware is aimed at running neural network inference workloads on a wide variety of edge and endpoint devices, from battery‑operated smart sensors to high‑performance automotive and autonomous‑vehicle systems. Unlike other NPUs that only accelerate part of a machine‑learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code.
Role The Corporate Applications Engineer is the key bridge between development engineering and hands‑on users in the field. The CAE leads technical customer support initiatives in collaboration with field application engineers, business development, product, and engineering teams, and develops supporting application materials to support the use of Quadric products. This senior technical role requires exceptional technical depth, strong coding capabilities, and advanced troubleshooting skills to develop customer demos, benchmarks, and reference implementations using Quadric’s SDK. Candidates must demonstrate deep technical mastery of Quadric’s product ecosystem, including HPC hardware (IP, chips, boards), the SDK, and various algorithms (NN, DSP, vision, path planning, etc.).
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
Occasional travel required to customer sites
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.
Experience quantizing, running and debugging neural networks with PyTorch/ONNX runtime a plus.
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.
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 FromHome.
Free Food & Snacks.
Stock Option Plan.
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Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture. Our co‑optimized software and hardware is aimed at running neural network inference workloads on a wide variety of edge and endpoint devices, from battery‑operated smart sensors to high‑performance automotive and autonomous‑vehicle systems. Unlike other NPUs that only accelerate part of a machine‑learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code.
Role The Corporate Applications Engineer is the key bridge between development engineering and hands‑on users in the field. The CAE leads technical customer support initiatives in collaboration with field application engineers, business development, product, and engineering teams, and develops supporting application materials to support the use of Quadric products. This senior technical role requires exceptional technical depth, strong coding capabilities, and advanced troubleshooting skills to develop customer demos, benchmarks, and reference implementations using Quadric’s SDK. Candidates must demonstrate deep technical mastery of Quadric’s product ecosystem, including HPC hardware (IP, chips, boards), the SDK, and various algorithms (NN, DSP, vision, path planning, etc.).
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
Occasional travel required to customer sites
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.
Experience quantizing, running and debugging neural networks with PyTorch/ONNX runtime a plus.
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.
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 FromHome.
Free Food & Snacks.
Stock Option Plan.
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