Skip to content
Updated How AI-exposed are the skills employers are hiring for? See the data →

From the employer's careers site First seen 13 Oct 2026 · Still live on 30 Oct 2026

Senior AI Developer Technology (DevTech) Engineer

NVIDIA Hybrid senior full-time

Salary

184,000 USD - 287,500 USD for Level 4, a… per year

Apply on NVIDIA

Description

We are seeking a Senior AI Developer Technology (DevTech) Engineer to accelerate the frontier of generative AI training and inference.

Our team is the bridge connecting the NVIDIA platform with developers worldwide.

You will:

  • Develop cutting-edge techniques to GPU-accelerate complex workloads across state-of-the-art generative AI, deep learning, and machine learning domains.
  • Work directly with key developers to optimize and accelerate generative AI training and inference on NVIDIA platform.
  • Partner directly with top technical experts in industry and academia to perform in-depth analysis and optimization of complex AI algorithms on modern CPU and GPU architectures.
  • Shape the design of next-generation hardware, system software, libraries, and programming models through tight collaboration with NVIDIA’s internal engineering and research teams.
  • Share your breakthrough optimization techniques by publishing in developer blogs and presenting at industry conferences.

Requirements:

  • MS in Computer Science, Computer Engineering, or related computational field (or equivalent experience).
  • 8+ years of relevant work or research experience in software engineering and performance tuning.
  • Programming fluency in C/C++ with a deep understanding of algorithms and software development.
  • A background in accelerated computing, with comprehensive knowledge of parallel programming, performance analysis and optimization.
  • Hands-on experience doing low-level performance optimizations.
  • Foundational understanding of modern CPU and GPU architectures.
  • Good communication and organization skills, with a logical approach to problem solving, and prioritization skills.

Nice to have:

  • Expertise in the parallelization and performance optimization of Large Language Models (LLMs), Diffusion Models, and Multimodal Architectures for training and inference.
  • Experience with training and inference stacks, serving frameworks, pre-training and post-training pipelines.
  • Strong foundation in linear algebra and numerical methods.
  • Continuous learning, proactively keeping up with cutting-edge technologies, and adapting to a rapidly evolving landscape.

Salary: 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

Benefits: You will also be eligible for equity and benefits.

Skills

Required

  • C/C++
  • parallel programming
  • performance analysis
  • optimization
  • accelerated computing
  • GPU architectures
  • algorithm design

Nice to have

  • Large Language Models
  • Diffusion Models
  • Multimodal Architectures
  • training and inference stacks
  • linear algebra
  • numerical methods
Apply on NVIDIA