Engineering Manager, AI Developer Technology
NVIDIA is hiring an Engineering Manager, AI Developer Technology in Santa Clara, United States. It pays $224k-$357k a year and Level rates it ; you can apply on NVIDIA.
Level's read on this job
- On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
- The posting mentions computer vision among its tools and skills.
- Level classes it as a senior role.
- NVIDIA has 2,700+ other open roles on Level.
AI in this role
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.How we rate this
Engineering Manager, AI Developer Technology at NVIDIA rates 93 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Walk me through a computer vision problem you solved, from raw data to a deployed model.
- How would you decide a model or AI system is ready to ship?
- Tell me about a time a model underperformed in production. How did you find out, and what did you change?
Adapt your resume
- List these exact terms on your resume: Computer vision. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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