Posted:
9/19/2024, 6:08:52 AM
Location(s):
California, United States
Experience Level(s):
Junior ⋅ Mid Level
Field(s):
AI & Machine Learning ⋅ Software Engineering
Workplace Type:
Remote
We are now looking for a 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.
What you will be doing:
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.
What we want to see:
PhD in CS, EE or CSEE or equivalent experience.
1+ 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.
Ways to stand out from the crowd:
Strong fundamentals in algorithms.
Proven experience with processor and system-level performance modelling.
GPU programming experience (CUDA or OpenCL) is a strong plus but not required.
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
Website: https://www.nvidia.com/
Headquarter Location: Santa Clara, California, United States
Employee Count: 10001+
Year Founded: 1993
IPO Status: Public
Last Funding Type: Grant
Industries: Artificial Intelligence (AI) ⋅ GPU ⋅ Hardware ⋅ Software ⋅ Virtual Reality