As an AI Developer Technology Engineering Manager at NVIDIA’s global DevTech team, you will lead a team of skilled engineers focused on optimizing the end-to-end performance of real-world Deep Learning and Machine Learning applications. Your responsibilities include defining strategic technical initiatives, collaborating with research and hardware teams to influence next-generation designs, and hiring top talent while fostering a culture of engineering excellence. You must have an MS or PhD in Computer Science or related field, 8+ years of experience including leadership roles, expertise in linear algebra and performance optimization, and proficiency in C/C++ and parallel programming frameworks like CUDA. This role requires deep knowledge of CPU/GPU architecture and the ability to communicate complex technical solutions effectively. The team works on cutting-edge projects such as Large Language Models and multimodal architectures, driving innovation in accelerated computing at NVIDIA.
Skills
CUDA
C/C++
Python
GPU
CPU
MPI
OpenMP
pthread
Deep Learning
Machine Learning
LLMs
Multimodal Models
Linear Algebra
Parallel Programming
Algorithm Optimization
Software Development
Presentation Skills
Technical Leadership
Recruiting Top Talent
Engineering Excellence
What you'll do
Lead team to optimize and develop algorithms for ML and DL applications.
Define and drive strategic technical initiatives in accelerated DL/ML.
Influence next-gen hardware/software design through collaboration with teams.
Hire top talent and promote a diverse, skilled engineering culture.
Coach and grow the team, fostering excellence and idea sharing.
What we're looking for
MS or PhD in Computer Science, Engineering, or related field with 8+ years of experience.
At least 5 years in a technical role and 3+ years in an engineering leadership position.
Expertise in linear algebra and performance optimization for Deep Learning training and inference.
Proficiency in parallel programming (CUDA, OpenMP, MPI) and C/C++ with algorithm understanding.
Knowledge of CPU/GPU architecture fundamentals and low-level performance optimizations.
Strong written and presentation skills to communicate technical solutions effectively.
Market check
Salary context
This
$224,000–$356,500
range sits above
92%
of similar postings on FindRole.
Peer median band
$177,200–$260,000
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$173,850–$246,150
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.