Field Application Engineer (Machine Learning)
March 19
🏢 In-office - Bay Area
Description
• Work closely with Business Development, Product, and Engineering to provide pre-and post-sales technical customer support • Conduct remote and on-site training and product presentations • System debugging, coding, scripting • Acquire expert-level skills with the in-house built product line including HPC Hardware (IP, Chips, Boards), SDK, Algorithms (NN, DSP, Vision, Path Planning, etc.)
Requirements
• Bachelor’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 ONNX runtime a plus • Experience supporting parallel C / C++ languages a plus (CUDA, OpenVX, NEON, etc.) • 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
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
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