Senior AI Inference Engineer — Edge ML, Porting Models
quadric.io, Inc
Burlingame (CA)
On-site
USD 120,000 - 150,000
Full time
14 days+
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Benefits offered by this job
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
Job summary
A pioneering tech company is looking for an experienced AI Inference Engineer to bridge AI models and advanced processing platforms. This role requires expertise in AI model algorithms, strong C/C++ and Python skills, and experience with deployment frameworks. You will optimize and benchmark AI models, ensuring efficient deployment in edge devices. The position comes with comprehensive health benefits and flexible work options.
Qualifications
5+ years of experience in AI/LLM model inference and deployment frameworks/tools.
Experience with model accuracy measures and performance profiling.
Comfortable working with diverse AI tools and frameworks.
Responsibilities
Quantize, prune, and convert models for deployment.
Port models to Quadric platform using their toolchain.
Benchmark and profile model performance and accuracy.
Skills
Model quantization (PTQ, QAT)
Proficiency in C/C++
Proficiency in Python
Problem solving and debugging
Education
Bachelor’s or Master’s in Computer Science or Electric Engineering
Tools
onnxruntime
Pytorch
huggingface-transformer
Job description
A pioneering tech company is looking for an experienced AI Inference Engineer to bridge AI models and advanced processing platforms. This role requires expertise in AI model algorithms, strong C/C++ and Python skills, and experience with deployment frameworks. You will optimize and benchmark AI models, ensuring efficient deployment in edge devices. The position comes with comprehensive health benefits and flexible work options.