Field Application Engineer (Machine Learning)

The Field Application Engineer will work with Sales, Marketing, Product, and Engineering teams to provide pre-sales technical customer support. The role requires excellent customer communication and troubleshooting skills, and will involve system debugging, coding, and scripting. Candidates will work independently and acquire expert-level skills with the in-house built product line, including HPC Hardware, SDK, and Algorithms.

Requirements

• Bachelor’s degree in Electronics Engineering and/or Computer Science field
• 5+ years experience in engineering
• Minimum 3+ years experience working directly with customers in support of Sales or Business Development activities
• Fluent in English
• 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 selling/supporting semiconductor intellectual property (IP) (a plus)
• Experience supporting parallel C / C++ languages (a plus)
• Solid understanding of intermediate git concepts
• Solid understanding of semiconductor development process (RTL, GDS, ASIC, etc.)
• Ability to methodically debug problems, relay information to the engineering team, and test and deploy system updates and upgrades

Benefits

• Health Care Plan
• Paid Time Off (Vacation, Sick & Public Holidays)
• Training & Development
• Work From Home
• Stock Option Plan