Senior Deep Learning Engineer
Targeted TalentAustin, TX, USjob_description.job_card.30_days_ago
serp_jobs.job_preview.job_type
- serp_jobs.job_card.full_time
- serp_jobs.job_card.permanent
job_description.job_card.job_descriptionMaster's or PhD in Computer Science, Engineering, or related field Experience in embedded or low-level programming Knowledge of CUDA / OpenGL Experience deploying neural networks in production Familiarity with model compression techniques like quantization, pruning, etc.
Job Description
Job Description
We're seeking top-notch engineers to join our team. As part of our group, you'll collaborate with hardware and software engineers to design, develop, and optimize software for our chip, making AI inference accessible to everyone. You'll excel in identifying and resolving functional / performance bottlenecks in complex software and hardware designs.
We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model optimization pipeline. If you thrive on pushing the boundaries of AI technology, this role is for you!
Requirements :
- Bachelor's degree in Computer Science, Engineering, or related field
- 5+ years of experience, with at least 2 years in both deep learning and software engineering
- Proficiency in deep learning frameworks like Tensorflow and / or PyTorch
- Experience with CNNs, LSTMs / RNNs, Transformers
- Strong math skills and Python proficiency
- Experience with C / C++
Preferred Skills & Experience :
These are permanent full time remote positions.
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Deep Learning Engineer • Austin, TX, US
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