Senior AI DevTech Engineer: GPU-Accelerated AI & LLMs

NVIDIA

Austin (TX)

On-site

USD 184,000 - 357,000

Full time

2 days ago

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Benefits offered by this job

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Benefits

Job summary

NVIDIA is seeking a Senior AI Developer Technology Engineer to accelerate generative AI training and inference. The role connects NVIDIA platforms with developers worldwide, optimizing performance across CPU and GPU architectures and contributing to core libraries and open-source projects.

The candidate will work with top experts to analyze AI algorithms, design next-gen hardware and software stacks, and share breakthroughs through blogs and industry conferences.

Qualifications

MS in CS/CE or related field (or equivalent).
8+ years in software engineering and performance tuning.
Fluency in C/C++ with strong algorithms background.
Background in accelerated computing; knowledge of CPU/GPU architectures.
Experience with low-level performance optimizations.
Strong communication and organizational skills.

Responsibilities

Develop GPU-accelerated techniques for generative AI workloads.
Optimize training and inference on NVIDIA platform; contribute to frameworks and libraries.
Collaborate with experts to analyze and optimize AI algorithms on CPU/GPU architectures.
Shape future hardware and software design in collaboration with internal teams.
Publish breakthroughs in blogs and present at industry conferences.

Skills

C/C++ programming

Parallel programming

Performance tuning

Education

MS in Computer Science, Computer Engineering, or related field

Job description

The candidate will work with top experts to analyze AI algorithms, design next-gen hardware and software stacks, and share breakthroughs through blogs and industry conferences.

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