AI Developer Technology Engineer at NVIDIA

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial IntelligenceIndustries

Requirements

Masters degree or PhD in an engineering or computer science related discipline or equivalent experience
2+ years of relevant work or research experience
Strong knowledge of C/C++, software design, programming techniques, and AI algorithms
Firsthand work experience with parallel programming, ideally CUDA C/C++
Strong communication and organization skills
Logical approach to problem solving, good time management, and task prioritization skills
Willingness to travel for conferences and on-site visits with developers

Responsibilities

Study and develop cutting-edge techniques in deep learning, graphs, machine learning, and data analytics
Perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures
Work directly with key customers to understand their current and future problems and provide the best AI solutions using GPUs
Collaborate closely with the architecture, research, libraries, tools, and system software teams at NVIDIA to influence the design of next-generation architectures, software platforms, and programming models

Skills

Key technologies and capabilities for this role

C/C++CUDADeep LearningMachine LearningParallel ProgrammingGPUAI AlgorithmsSoftware Design

Questions & Answers

Common questions about this position

What education and experience are required for this AI Developer Technology Engineer role?

A Masters degree or PhD in an engineering or computer science related discipline or equivalent experience is required, along with 2+ years of relevant work or research experience.

What technical skills are needed for this position?

Strong knowledge of C/C++, software design, programming techniques, and AI algorithms is required, along with firsthand work experience with parallel programming, ideally CUDA C/C++.

What soft skills are important for this role?

Strong communication and organization skills are needed, with a logical approach to problem solving, good time management, and task prioritization skills.

Is travel required in this job?

Some travel is required for conferences and for on-site visits with developers.

What kind of company culture does NVIDIA offer?

NVIDIA fosters a diverse work environment with forward-thinking and hardworking people, and is committed to being an equal opportunity employer that values diversity.

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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