As a Senior GPU & Deep Learning Architect at NVIDIA’s GPU Architecture group, you will lead innovative efforts to enhance GPU architecture for deep learning workloads, focusing on both training and inference. Your daily tasks include designing new hardware features, advancing parallel computation models, and developing software for simulators and test infrastructures. You will collaborate with top-tier architects and researchers to validate architectural improvements through simulation and real-world testing. Ideal candidates hold an MS in Computer Science, Electrical Engineering, or a related field, along with 8+ years of industry experience in GPU architecture or parallel programming. Strong skills in C, C++, Perl, and Python are essential, as is expertise in computer architecture, parallel processing, and high-performance computing. Knowledge of deep learning algorithms and attention mechanisms is highly valued. Join our dynamic team to contribute to cutting-edge AI computing solutions that drive the future of real-time, cost-effective AI platforms.
Skills
C
C++
Perl
Python
CUDA
TensorFlow
PyTorch
NVIDIA_GPU_Architecture
Deep_Learning
Parallel_Computing
Computer_Architecture
CI/CD
MESOS
Kubernetes
Docker
Prometheus
Grafana
PostgreSQL
Redis
What you'll do
Design new hardware features for future GPUs targeting deep learning workloads.
Advance parallel computation techniques to enhance performance and efficiency.
Develop software tools and simulators for testing and validating architectural designs.
Collaborate on documenting and verifying functional models of GPU architectures.
Create tests and test plans for evaluating new graphics and processing architectures.
Stay updated with the latest developments in deep learning algorithms and mechanisms.
What we're looking for
MS in Computer Science, Electrical Engineering or equivalent experience required.
8+ years of industry experience with GPU or parallel programming architectures.
Expertise in designing hardware for deep learning workloads (training and inference).
Proficient in C, C++, Perl, and Python for developing software tools.
Strong background in computer architecture and high performance computing.
Knowledge of state-of-the-art DL algorithms and attention mechanisms preferred.
Market check
Salary context
This
$184,000–$287,500
range sits above
77%
of similar postings on FindRole.
Peer median band
$175,837–$264,925
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$191,106–$235,750
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
802 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 798 roles with salary data.