Engineering Manager, AI Developer Technology at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial IntelligenceIndustries

Requirements

MS or PhD in Computer Science, Computer Engineering, or related field (or equivalent experience)
8+ years of relevant experience
5+ years in a technical role
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 (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

Responsibilities

Lead a team of engineers focused on accelerating the performance of real-world Deep Learning and Machine Learning applications
Define and lead strategic technical initiatives, working closely with customers, NVIDIA Research, hardware, and software teams to drive innovation in accelerated Deep Learning and Machine Learning
Optimize performance of complex parallel algorithms and workloads on NVIDIA platforms
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
Hire, coach, and grow your team, promoting a culture of engineering excellence and idea proliferation

Skills

Key technologies and capabilities for this role

CUDAOpenMPMPIC++Deep LearningMachine Learninglinear algebraGPU architectureCPU architectureperformance optimizationparallel programming

Questions & Answers

Common questions about this position

What is the work location or arrangement for this role?

The position is hybrid.

What is the salary for this Engineering Manager position?

This information is not specified in the job description.

What technical skills are required for this role?

Required skills include in-depth expertise in linear algebra and performance optimization of Deep Learning training and inference, background in parallel programming (CUDA, OpenMP, MPI, pthreads, etc.), programming fluency in C/C++ with deep understanding of algorithms and software development, and knowledge of CPU and GPU architecture fundamentals and low-level performance optimizations.

What does the team focus on at NVIDIA?

The team is part of Developer Technology (DevTech) and focuses on driving innovation and enhancing the value of NVIDIA’s platforms for developers, with specific areas including Large Language Models (LLMs), Computer Vision, Speech, Recommender Systems, and Multimodal architectures.

What experience makes a strong candidate for this position?

Strong candidates have an MS or PhD in Computer Science or related field, 8+ years of relevant experience including 5+ years in a technical role and 3+ years in engineering leadership, plus the listed technical expertise and proven track record in planning and leading critical initiatives.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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