AI DevTech Engineer: GPU Deep Learning Innovator

NVIDIA; Austin (TX); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA invites a world-class computer scientist to join the Compute Developer Technology team as an AI Developer Technology Engineer. You will study and develop state-of-the-art deep learning techniques, optimizing performance on current and next-generation GPU architectures.

You will work with customers to deliver AI solutions using GPUs and collaborate with architecture, research, libraries, tools, and system software teams to influence future architectures and programming models.

Qualifications

• Pursuing or recently completed an MS or PhD in an engineering or Computer Science related discipline or equivalent experience
• You’ll possess strong knowledge of C/C++, software design, programming techniques, and AI algorithms
• Experience with parallel programming, ideally CUDA C/C++
• Excellent communication and organization skills, with a logical approach to problem solving, time management, and task prioritization skills

Responsibilities

• Study and develop state-of-the-art deep learning and ML techniques for GPUs
• Provide AI solutions using GPUs directly with key customers
• Collaborate with architecture, research, libraries, tools, and system software teams

Skills

C/C++ programming

AI algorithms

Parallel programming

Communication & organization

Education

MS or PhD in Engineering or Computer Science

Tools

CUDA C/C++

Job description

NVIDIA invites a world-class computer scientist to join the Compute Developer Technology team as an AI Developer Technology Engineer. You will study and develop state-of-the-art deep learning techniques, optimizing performance on current and next-generation GPU architectures.

You will work with customers to deliver AI solutions using GPUs and collaborate with architecture, research, libraries, tools, and system software teams to influence future architectures and programming models.