Engineering Manager, AI Developer Technology
AI summary of the role
Lead a global team of AI developer technology engineers at NVIDIA, optimizing end-to-end performance of deep learning and machine learning applications on NVIDIA hardware.
What you’ll do
- Lead a 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 next-generation hardware, software, and programming models
- Hire top talent and coach the team to promote engineering excellence
What you’ll bring
- MS or PhD in Computer Science, Computer Engineering, or related computationally focused science/engineering degree (or equivalent experience)
- 8+ overall years of relevant experience with 5+ years in a technical role and 3+ years 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)
Technologies
CUDA · OpenMP · MPI · pthreads · C/C++ · GPU · CPU · Deep Learning · Machine Learning · LLMs
About NVIDIA
Designs and manufactures GPUs and system-on-chips powering data centers, AI workloads, gaming, autonomous vehicles, and HPC. The foundational hardware for modern deep learning.
Public
Source and classification
Deployment team leadership · Evidence for this classification:
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
More from the job description
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 softw [... source excerpt omitted ...] Hybrid 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 March 21, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse 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, nat
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