Overview
On Site
$60 - $70
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)
Skills
CUDA
C++
Python
Machine Learning (ML)
kernel
Job Details
Job Title: AI/ML Engineer with Embedded
Job Location: Bay Area, CA(Onsite)
Duration: 12+ Months
Responsibilities
Below is the job description of the kernel development position we are looking for.Ideal candidate would be someone who has developed kernels for Nvidia GPUs. Please help hire someone experienced and senior.
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
Requirements
- Bachelor s or Master's in computer science and/or Electronics Engineering field.
- Minimum 10+ 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.
- 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.
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