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7 days ago
We are seeking a seasoned technology expert to lead the design and implementation of cutting-edge GPU computers capable of handling demanding deep learning, high-performance computing, and computationally intensive workloads.
- This individual will identify architectural changes and/or completely new approaches for accelerating our deep learning models.
- The successful candidate will collaborate with various teams to drive an end-to-end workflow from data curation and training to performance optimization and deployment.
Key Responsibilities:
- Benchmark and optimize computer vision algorithms and hardware accelerators for performance and quality KPIs.
- Optimize algorithms for optimal performance on the GPU tensor cores.
- Collaborate with various teams to ensure seamless execution of projects.
To be successful in this role, you must possess a Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field with a strong background in deploying complex deep learning architectures.
- 7+ years of relevant experience in at least a few of the following areas: Machine learning (with a focus on Deep Neural Networks), numerical analysis, performance analysis, model compression, and computer architecture.
- Strong data structures and algorithms knowledge with excellent C/C++ programming skills.
- Hands-on expertise with PyTorch, TensorRT, CuDNN.
- Proficient in Python programming and bash scripting.
This position offers a challenging and dynamic work environment with opportunities for growth and professional development.
- A competitive compensation package.
- A comprehensive benefits program.
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