Senior Developer Technology Engineer - AI at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, High Performance ComputingIndustries

Requirements

Masters degree in Computer Science, Computer Engineering, or related computationally focused science degree (or equivalent experience)
8+ years of relevant work experience or research
Fluency in C/C++ with a deep understanding of algorithms and software development
Experience with parallel programming techniques such as CUDA, OpenACC, OpenMP, MPI, pthreads, etc
Hands-on experience with low-level performance optimizations
In-depth expertise with CPU and GPU architecture fundamentals
Good communication and organization skills, logical problem-solving, and prioritization skills

Responsibilities

Research and develop techniques to GPU accelerate workloads in deep learning, machine learning, or other AI domains
Work directly with technical experts (industry and academia) to perform in-depth analysis and optimization of complex AI and HPC algorithms
Publish and present discovered optimization techniques in developer blogs or relevant conferences
Influence the design of next-generation hardware architectures, software, and programming models
Collaborate with research, hardware, system software, libraries, and tools teams at NVIDIA

Skills

Key technologies and capabilities for this role

C/C++CUDAOpenACCOpenMPMPIpthreadsparallel programmingperformance optimizationdeep learningmachine learningGPU architectureCPU architecture

Questions & Answers

Common questions about this position

What is the salary range for this position?

This information is not specified in the job description.

Is this role remote or does it require working from an office?

This information is not specified in the job description.

What skills are required for the Senior Developer Technology Engineer role?

Required skills include fluency in C/C++ with deep understanding of algorithms and software development, experience with parallel programming techniques such as CUDA, OpenACC, OpenMP, MPI, pthreads, hands-on experience with low-level performance optimizations, and in-depth expertise with CPU and GPU architecture fundamentals.

What is the team and culture like at NVIDIA for this role?

The role is on the Developer Technology Team, focused on driving innovation in NVIDIA’s products through market-driven solutions and contributions to the Developer Community, collaborating with research, hardware, system software, libraries, and tools teams.

What makes a candidate stand out for this position?

Candidates stand out with expertise in parallelization and performance optimization of Deep Learning models (NLP, Computer Vision, Recommender Systems, etc.) and excellent understanding of linear algebra.

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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