Engineering Manager, AI Developer Technology

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 224,000 - 356,500; Full time

Benefits offered by this job

Equity options

Comprehensive benefits package

Job summary

NVIDIA Gruppe is seeking an AI Developer Technology Engineering Manager to lead a team focused on optimizing performance for real-world Deep Learning and Machine Learning applications. This role involves the development of algorithms to leverage Nvidia hardware effectively.

The ideal candidate will have robust experience in technical leadership, excellent programming skills in C/C++, and deep knowledge in performance optimization. Located in Santa Clara, the position offers a competitive salary range and a diverse work environment.

Qualifications

• 8+ years of relevant experience with 5+ years in a technical role.
• Experience in an engineering leadership role for at least 3 years.
• Background in parallel programming is essential.

Responsibilities

• Lead the team to optimize algorithms for ML and DL applications.
• Define technical initiatives to advance accelerated Deep Learning.
• Collaborate with teams to influence next-gen hardware design.

Skills

Deep Learning performance optimization

Machine Learning applications

GPU programming (CUDA)

C/C++ programming

Linear algebra expertise

Engineering leadership

Education

MS or PhD in Computer Science or related field

Tools

CUDA

OpenMP

MPI

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. You will 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 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.
• 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.

Base salary range: $224,000 USD - $356,500 USD. You will also be eligible for equity and benefits.

NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. We do not discriminate 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.