# Senior AI Developer Technology (DevTech) Engineer

**Company**: NVIDIA
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-AI-Developer-Technology-Engineer_JR2027733?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_f3da29f7-efe

## 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

---

Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-AI-Developer-Technology-Engineer_JR2027733?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)
