This role pays more than
80%
of similar roles. Most pay
$177,250–$235,750
— the shaded band above.
At the midpoint, this role pays about
$236k
versus about
$206k
for comparable roles.
Based on 240 similar postings.
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
896 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 876 roles with salary data.
As a Senior Accelerated Computing Architect, you will join the team developing software and system architectures for high performance computing, scientific computing, machine learning, AI, datacenter, and automotive computing. You will perform in-depth analysis and optimization to ensure peak performance on current and next-generation GPUs while creating core parallel algorithms, data structures, and reference codes. Your daily work involves analyzing the interplay between hardware and software architectures, collaborating with hardware design and research teams to guide accelerated computing direction, and facilitating software-hardware co-design. You will utilize C, C++, and Python while leveraging massively parallel GPU programming models like CUDA or OpenCL. Additional experience with MPI, OpenSHMEM/NVSHMEM, and threading APIs is beneficial. The role focuses on solving complex performance challenges in the domain of accelerated computing through technical writing and collaborative engineering.
CUDA
OpenCL
C
C++
Python
MPI
NVSHMEM
OpenSHMEM
IPC
Benchmarking
Profiling
Linear Algebra
Numerical Methods
High Performance Computing
Machine Learning
AI
GPU Architecture
C
C++
Python
Perl
Parallel Programming Models
High Performance Computing
RTL
Graphics Algorithms
Signal Processing
Simulators
Databases
Test Infrastructure
Computer Architecture