Join NVIDIA's global Developer Technology Engineering team as a Senior Developer Technology Engineer, where you’ll research and develop techniques to accelerate cloud service provider workloads on NVIDIA’s computing platform. You’ll collaborate with key customers for in-depth analysis and optimization of complex applications, ensuring optimal performance on current and next-generation hardware. Working closely with various teams at NVIDIA, including libraries, tools, system software architecture, and research, you will influence the design of future programming models, software, and architectures. Ideal candidates have a Master’s degree or equivalent experience, 8+ years in relevant fields, proficiency in C/C++, expertise in parallel programming (CUDA preferred), and deep knowledge of CPU and GPU architecture fundamentals. Strong math skills, particularly linear algebra, are essential, along with excellent communication abilities. This role offers opportunities to publish findings and represent NVIDIA at industry events, driving innovation in GPU-accelerated computing.
Skills
C
C++
CUDA
Python
Linux
GPU
CPU
Parallel programming
Performance optimization
Linear algebra
CI/CD
What you'll do
Research and develop techniques to accelerate cloud service provider workloads on NVIDIA’s platform.
Analyze and optimize complex customer workloads for optimal performance on current and future hardware.
Influence the design of next-generation programming models by collaborating with various teams at NVIDIA.
Design highly efficient parallel algorithms and data structures for applications with high bytes-to-compute ratios.
Optimize end-to-end application performance across multiple software layers, from OS to frameworks.
Publish findings in developer blogs or at industry conferences to represent NVIDIA’s technological leadership.
What we're looking for
Master’s degree in Computer Science, Engineering, or related field (or equivalent experience).
8+ years of relevant work experience in software development and optimization.
Proficiency in C/C++ with expertise in parallel programming using CUDA C/C++.
Deep understanding of CPU and GPU architecture fundamentals for performance optimization.
Strong math skills including linear algebra for problem-solving and modeling.
Experience designing highly optimal parallel algorithms and data structures.
Influenced hardware feature design based on application and domain knowledge.
Market check
Salary context
Above market
How this pay compares to similar roles
Similar $171k
This role $236k
$97k
most similar roles pay here
$308k
This role pays more than
87%
of similar roles. Most pay
$140,075–$202,000
— the shaded band above.
At the midpoint, this role pays about
$236k
versus about
$171k
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
824 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 812 roles with salary data.