AI Software Engineer
Core
Develop and optimize benchmarking solutions for vision and LLM/VLM models to evaluate Kinara products, focusing on latency, throughput, accuracy, and power consumption.
Role type
AI Software Engineer (Performance & Benchmarking)
Builds
Benchmarking tools, analysis reports, and optimized deployment scripts for AI workloads.
Domain
Artificial Intelligence, Machine Learning, Computer Vision, LLMs
Deliverable
production ML models
Required skills
Python, C/C++, Deep Learning, Neural Networks, Performance Evaluation, Linux, CI/CD, Automation
Preferred skills
Device driver internals, AI accelerators, MLPerf, MLFlow, MMLU, HumanEval, GSM8K, ARC Challenge, GPQA
Technologies
TensorFlow, Caffe, PyTorch, GitHub, Linux
Responsibilities
Write and optimize scripts for deep learning model deployment and benchmarking; Measure and report on latency, throughput, accuracy, and power consumption of AI workloads; Prepare detailed benchmarking and analysis reports for engineering and marketing stakeholders.
Seniority
Mid-Senior, hands-on IC