13 часов назад
Senior Software Engineer (AI)
161 000 - 182 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer (AI): Building and deploying deep learning models for computer vision on Ambarella SoCs with an accent on model optimization, hardware architecture, and embedded programming. Focus on quantization and pruning, profiling PyTorch performance, improving training and inference speed, and developing utilities for the model garden.
Location: US Headquarters
Salary: $161,000–$182,000 base salary per year
Company
develops AI vision processors for edge applications that extract data from high-resolution video streams.
What you will do
- Build and deploy deep learning models for computer vision on SoCs.
- Prepare models for quantization and pruning, verify accuracy, and adapt PyTorch code for target hardware.
- Create scripts and utilities for data preprocessing, model training, validation, and inference.
- Profile PyTorch on target hardware and resolve performance, speed, and memory-bandwidth bottlenecks.
- Integrate emerging model architectures into the model garden.
- Support model garden users and developers with troubleshooting, tutorials, and usage examples.
Requirements
- Bachelor’s degree in Computer Science, Electrical Engineering, or a related field.
- Experience developing or using deep learning frameworks such as TensorFlow or PyTorch.
- Knowledge of the machine learning lifecycle, including data preprocessing, training, deployment, and inference.
- Understanding of deep learning applications in computer vision, including classification, object detection, and segmentation.
- Experience with hardware architectures such as NVIDIA GPUs or custom ASICs.
- Strong C/C++ and Python skills, plus experience with source control, code review, unit testing, and peer reviews.
Nice to have
- Master’s degree in Computer Science or a related field.
- Industry experience in a related field.
- Familiarity with quantization-aware training and pruning.
- Experience with Docker and containerization.
- Deep understanding of GPUs, ASICs, and other accelerators.
Culture & Benefits
- Full-time employment opportunity.
- New-hire RSU grants and potential annual RSU grants.
- Competitive benefits.
- Base salary is determined by location, experience, and compensation for similar positions.
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