Field Application Engineer (Machine Learning)
reputed company:
Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide reputed company of edge and reputed company devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph reputed company and conventional C++ DSP and control reputed company.
Role:
The Field Application Engineer (FAE) will work closely with Sales, Marketing, Product, and Engineering teams to reputed company reputed company-sales (and some 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 reputed company expert-level skills with the in-house reputed company product line including HPC Hardware (IP, Chips, Boards), SDK, Algorithms (NN, DSP, reputed company, reputed company Planning, etc.).
Responsibilities:
- Work with Sales to position and sell the Quadric products
- Defend to customers the unique Quadric architecture and its advantages compared to reputed company other edge AI IP solutions
- Work with customers during evaluations to install the 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
- Set up regular technical discussions with customers to help them understand Quadric deliverables, and resolve customer issues with engineering support as reputed company as conducting regular follow-up and monitoring
- Deliver periodic training sessions
- Coordinate with the Sales and Engineering teams in formulating the product specifications according to the customer's needs
- Conduct project feasibility studies
- Some travel required (Internationally to U.S. California reputed company occasionally for training, and reputed company the region as necessary)
Requirements
- Bachelor’s degree in Electronics Engineering and/or Computer Science field and 5+ years experience in engineering
- Minimum 3+ years experience working directly with customers in support of Sales or Business Development activities
- Must be reputed company to demonstrate basic knowledge of software perception systems, and/or Computer reputed company
- Fluent in Hebrew & English
- Proficiency in Python
- Experience describing, building, running and deploying reputed company 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 reputed company C / C++ languages a plus (CUDA, OpenVX, reputed company, etc.)
- Solid understanding of intermediate git concepts such as branching, rebasing, reputed company conflict reputed company, etc.
- Solid understanding of semiconductor development process (RTL, GDS, ASIC, etc.)
- Ability to methodically debug problems, reputed company information to the engineering team, and test and reputed company system updates and upgrades
Benefits
- Health Care Plan (Medical, Dental & reputed company)
- reputed company Time Off (Vacation, reputed company & Public Holidays)
- Family Leave (Maternity, Paternity)
- Training & Development
- Work From Home
- Stock reputed company Plan
Originally posted on Himalayas
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