Senior Deep Learning Algorithm Engineer at NVIDIA

Ho Chi Minh City, , Vietnam -

Full Time

Start Date

Immediate

Expiry Date

11 Apr, 26

Salary

0.0

Posted On

11 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Deep Learning, Neural Networks, Performance Analysis, Optimization, GPU Architecture, C++, Python, Workload Analysis, Workload Optimization, Production Quality Software, LLM Inference Frameworks, Algorithms, Processor Performance Modelling, CUDA, OpenCL

Industry

Computer Hardware Manufacturing

Description

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 essential 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 and inference 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: 5+ years of experience. MSc or PhD in CS, EE or CSEE or equivalent experience. Strong background in deep learning and neural networks, both training & inference. 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: Experience with modern LLM inference frameworks (TRT-LLM, vLLM, Ollama, etc.) Strong fundamentals in algorithms. Experience with production deployment of Deep Learning models. Proven experience with processor and system-level performance modelling. GPU programming experience (CUDA or OpenCL) is a strong plus but not required. As NVIDIA makes inroads into the Datacenter business, our team plays a central role in getting the most out of our exponentially growing data center deployments and establishing a data-driven approach to hardware design and system software development. We collaborate with a broad cross-section of teams at NVIDIA ranging from DL research teams to CUDA Kernel and DL Framework development teams, to Silicon Architecture Teams. As our team grows and as we seek to identify and take advantage of long-term opportunities, our skills needs are growing as well. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you! NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Responsibilities

Understand, analyze, profile, and optimize deep learning training and inference workloads on state-of-the-art hardware and software platforms. Collaborate with researchers and engineers across NVIDIA to improve the performance of workloads.