below marketmost similar roles pay hereabove market
This role pays more than
82%
of similar roles. Most pay
$177,250–$235,750
— the blue 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
1623 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 1110 roles with salary data.
The Senior Accelerated Computing Architect joins the team developing software and system architectures for high performance computing, scientific computing, machine learning, AI, datacenter, and automotive computing. This role involves performing in-depth analysis and optimization to ensure peak performance on current and next-generation GPUs. You will create and optimize core parallel algorithms, data structures, and reference codes while analyzing the interplay between hardware and software architectures. Key responsibilities include collaborating with hardware design and research teams to guide accelerated computing direction and facilitating software-hardware co-design. Required skills include strong mathematical fundamentals in linear algebra, proficiency in C and C++, and hands-on experience with CUDA or OpenCL. Additional experience with MPI, NVSHMEM, Python, and benchmarking GPU and CPU clusters is preferred for this technical role.
GPU Architecture
Parallel Computing
C
C++
Python
Perl
RTL
Graphics Algorithms
High Performance Computing
Signal Processing
Database
Test Infrastructure
Computer Architecture
Remote (Santa Clara, CA)+336 days ago
$184,000–$287,500
GPU Architecture
Memory Systems
CUDA
PPA) analysis
RTL Simulation
Emulation
Verilog
VHDL
C
C++
Ansys Power Artist
Synopsys PTPX
Hardware Design
Scripting Languages