Senior Deep Learning Algorithm Engineer
at Nvidia
📍 Santa Clara, United States
$148,000-276,000 per year
SCRAPED
Used Tools & Technologies
Not specified
Required Skills & Competences ?
Python @ 4 Algorithms @ 4Details
We are now looking for a Senior DL Algorithms Engineer!
NVIDIA is seeking senior engineers who are mindful of performance analysis and optimization to help us squeeze every last clock cycle out of Deep Learning training, one of today's most important workloads in the world. If you are unafraid to work across all layers of the hardware/software stack from GPU architecture to Deep Learning Framework to achieve peak performance, we want to hear from you! This role offers an opportunity to directly impact the hardware and software roadmap in a fast-growing technology company that leads the AI revolution while helping deep learning users around the globe enjoy ever-higher training speeds.
Responsibilities
- Understand, analyze, profile, and optimize deep learning training workloads on state-of-the-art hardware and software platforms.
- Collaborate with researchers and engineers across NVIDIA, providing guidance on improving the performance of workloads.
- Implement production-quality software across NVIDIA's deep learning platform stack.
- Build tools to automate workload analysis, workload optimization, and other critical workflows.
Requirements
- PhD in CS, EE or CSEE or equivalent experience.
- 2+ years of experience.
- Strong background in deep learning and neural networks, in particular training.
- Deep understanding of computer architecture, and familiarity with the fundamentals of GPU architecture.
- Proven experience analyzing, modeling and tuning application performance.
- Programming skills in C++ and Python.
Benefits
- You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.