Engineering Manager, AI Developer Technology
Company websitenvidia.com (NVIDIA, opens in new tab)
Base salary $224,000 to $356,500
Employer-published annual base salary, USD. Advertised base range in Santa Clara, CA +4 more
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSanta Clara, CA +4 more
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (1 h ago) · observed since
All 5 locations
- US, CA, Santa Clara
- US, MA, Westford
- US, TX, Austin
- US, OR, Hillsboro
- US, NC, Durham
About this job
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!
#LI-Hybrid
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position 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 November 3, 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.Source: NVIDIA on Workday · View original posting (opens in new tab)
Pay in context
This role's base floor ($224,000) is above 82% of the 4,300 Software Engineering roles in California listed on this site; 73 others list the same floor. Their median floor is $176,100; the middle half runs from $149,100 to $204,000.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.
This listingEngineering Manager, AI Developer Technology$224,000 to $356,500
Senior Full-Stack Lead Engineer$224,000 to $356,500
Senior Developer Relations Manager, Data Platforms$224,000 to $431,250
Senior Developer Relations Lead, AI-Enabled Drug Discovery Science$224,000 to $431,250
Manager, Solutions Architecture - AI Infrastructure Build Readiness$224,000 to $356,500
Senior Research Engineer - AI Coding Tools$224,000 to $431,250
Senior Retail Developer Relations Manager, Digital Commerce$224,000 to $431,250
Chart as a table
| Role | Published base |
|---|---|
| Engineering Manager, AI Developer Technology (this listing) | $224,000 - $356,500 |
| Senior Full-Stack Lead Engineer | $224,000 - $356,500 |
| Senior Developer Relations Manager, Data Platforms | $224,000 - $431,250 |
| Senior Developer Relations Lead, AI-Enabled Drug Discovery Science | $224,000 - $431,250 |
| Manager, Solutions Architecture - AI Infrastructure Build Readiness | $224,000 - $356,500 |
| Senior Research Engineer - AI Coding Tools | $224,000 - $431,250 |
| Senior Retail Developer Relations Manager, Digital Commerce | $224,000 - $431,250 |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-10-30
Where this pay comes from
Location as the employer wrote it: Multiple locations (5)
base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 224,000 USD – 356,500 USD.
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
