Field Application Engineer (Machine Learning)
![Quadric](https://semiwiki.com/wp-content/uploads/job-manager-uploads/company_logo/2022/11/Quadric-Logo-SemiWiki-150x74.jpg)
Website Quadric
Role:
The Field Application Engineer (FAE) will work closely with Business Development, Product, and Engineering to provide pre-and post-sales technical customer support. This position requires excellent customer communication and troubleshooting skills to conduct remote and on-site training and product presentations. This position is a technical position that will require additional skills such as system debugging, coding, scripting. Candidates are expected to work independently and 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.).
Responsibilities:
- Work with Business Development to sell the technology from quadric.io
- Work with customers to install SDK and algorithms and analyze customer systems to determine the best HW/SW solutions for their system.
- Analyze technological problems brought in by customers and communicate with engineering for the best solution..
- Work with business development to prepare technical proposals and statements of work, working with the customer to gather requirements.
- Set up regular technical discussions with customers to help them understand quadric deliverables and resolving customer issues with engineering support as well as conduct regular follow-up and monitoring.
- Deliver periodic training sessions
- Coordinate with the Sales and Engineering team in designing proper application systems and formulating the product specifications according to the customer’s needs.
- Interface with product marketing and engineering
- Conduct project feasibility studies
- Some travel required
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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