Engineering Manager, AI Developer Technology

NVIDIA Corporation

Santa Clara (CA)

Hybrid

USD 224,000 - 357,000

Full time

14 days+

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Equity
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Hybrid work model

Job summary

NVIDIA is seeking an Engineering Manager for AI Developer Technology in the US. You will lead a team of engineers to accelerate real-world DL/ML workloads, optimize performance, and develop novel algorithms that leverage NVIDIA hardware.

You will drive strategic technical initiatives, collaborate with research, hardware, and software groups, and mentor a diverse team to achieve engineering excellence and impact across multiple AI domains.

Qualifications

  • Must have MS or PhD in Computer Science, Computer Engineering or related field (or equivalent experience).
  • 8+ years of overall relevant experience, with 5+ years in a technical role and 3+ years in engineering leadership.
  • Strong background in linear algebra and performance optimization for DL training and inference.

Responsibilities

  • Lead the team to optimize and develop ML/DL algorithms and workloads for NVIDIA platforms.
  • Define and drive strategic technical initiatives for accelerated DL/ML applications.
  • Collaborate with research, hardware, and software teams to influence next-generation hardware and programming models.
  • Develop and communicate technical solutions, including design decisions and project plans, to collaborators.
  • Hire and grow a diverse, high-caliber team; mentor engineers and promote engineering excellence.

Skills

Deep Learning optimization
Parallel programming
C/C++
Leadership experience
Communication skills

Education

MS or PhD in Computer Science / Computer Engineering

Tools

CUDA
OpenMP
MPI
pthreads

Job description

## Engineering Manager, AI Developer TechnologyApplylocations: US, CA, Santa Clara: US, MA, Westford: US, TX, Austin: US, OR, Hillsboro: US, NC, Durhamtime type: Full timeposted on: Posted Yesterdayjob requisition id: JR1995883**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-HybridYour 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.
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