Engineering Manager, AI Developer Technology
At a glance
Manager-level AI Engineering role at NVIDIA. US, CA, Santa Clara · full-time · $224,000–$356,500 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Lead engineers improving algorithms and performance for machine learning and deep learning applications
- Set team goals and steer technical work that advances accelerated machine learning and deep learning
- Work with research, hardware and software groups to shape future hardware, software and programming models
- Present technical approaches, design choices and project plans to internal and external collaborators
- Hire, coach and develop engineers while building a skilled, diverse team
What you bring
- A graduate degree in computer science, computer engineering or a related computational field, or equivalent experience
- At least eight years of relevant work, including five in technical roles and three leading engineering teams
- Strong grounding in linear algebra, parallel programming, C/C++ and performance tuning for deep learning training and inference
- Understanding of CPU and GPU architecture, low-level optimization, and planning and leading important technical initiatives
Who this fits
This role suits a technically hands-on engineering leader who can guide a team working on AI application performance across NVIDIA platforms. You will manage, hire and coach engineers, while collaborating with customers and internal technical teams. The stated base salary range is $224,000 to $356,500 per year, with equity and benefits.
From the employer
We are now looking for an AI Developer Technology Engineering Manager:
Join our global Developer Technology (DevTech) team at NVIDIA, where we drive innovation and enhance the value of our platforms for developers. As a key member of our AI DevTech team, you'll lead a team of highly skilled engineers accelerating end-to-end performance of real-world Deep Learning and Machine Learning applications and developing novel algorithms to optimally leverage Nvidia hardware. Application examples are Large Language Models (LLMs), Computer Vision, Speech, Recommender Systems, and Multimodal architectures. As a Developer Technology Manager, you'll define and lead strategic technical initiatives, setting short- and long-term goals for your team. You'll work closely with customers as well as NVIDIA Research, hardware, and software teams to drive innovation and advance the state-of-the-art in accelerated Deep Learning and Machine Learning. Your team will focus on optimizing performance of complex parallel algorithms and workloads on NVIDIA platforms, including GPU, CPU, and interconnects.
What you’ll be doing:
Lead your team to optimize and develop algorithms for Machine Learning and Deep Learning applications
Define and drive technical initiatives to advance the state-of-the-art in accelerated Deep Learning and Machine Learning applications
Collaborate with research, hardware, and software teams to influence the design of next-generation hardware, software, and programming models
Develop and communicate technical solutions to external and internal collaborators, including technical design decisions and project plans
Hire the best talent to join your team, promoting a diverse and skilled team that can tackle complex technical challenges
Coach and grow your team, promoting a culture of engineering excellence and idea proliferation
What we need to see:
An MS or PhD in Computer Science, Computer Engineering, or in a related computationally focused science or engineering degree (or equivalent experience).
8+ overall years of relevant experience with 5+ years in a technical role and 3+ years of experience in an engineering leadership role.
In-depth expertise in linear algebra and performance optimization of Deep Learning training and inference
Background in parallel programming, e.g., CUDA, OpenMP, MPI, pthreads, etc.
Programming fluency in C/C++ with a deep understanding of algorithms and software development.
Knowledge of CPU and GPU architecture fundamentals and low-level performance optimizations
Excellent written and presentation skills.
Proven track record of planning and leading critical initiatives.
Ways to stand out from the crowd:
A PhD in a relevant field
Expertise in LLMs, multimodal model architecture and performance optimizations of relevant computational primitives
Proven experience with recruiting top talent.
What's DevTech?
We are a global organization whose mission is to drive innovation we see in the market towards our products. As recognized specialists across many domains, our work makes valuable contributions in two important ways. Our solutions are at the forefront of technology, advancing NVIDIA’s leadership in accelerated computing. Our discoveries generate learnings that benefit the Developer Community and provides guidance to help make our products better. NVIDIA's success in the advancement and availability of Artificial Intelligence has created incredible growth across the Company, and Developer Technology Engineering has been steadily growing to meet the demands for our services. We now have need for a leader to join and help continue our momentum.
NVIDIA is widely considered to be one of the technology world’s most desirable employers with some of the most forward-thinking and hardworking people in the world working here. If you love building and mentoring a team and are highly technical and enthusiastic about Deep Learning and GPU accelerated AI performance optimizations, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until August 9, 2026.This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.