6 个优质stack developer职位（正在招聘！）

Deep Learning Compiler CI/Infrastructure Engineer
NVIDIA —上海市
- 全职
2 小时
Senior Marketing Manager
JetBrains —上海市
Sr Research Scientist
Microsoft —上海市
Consultant Specialist
HSBC Global Services Limited —西安市
- 全职
4天
Software Technical Project Leader
Hella —南京市
AI Infrastructure Engineer
Meshy LLC —中国
- 全职
快速申请

More jobs to discover

Find similar jobs that you might be interested in.

(Senior) Brand Manager-Leqvio
Novartis —上海市
Summary «Местные бренд-менеджеры ИЛИ глобальные / региональные / местные специалисты по суб-функциям в рамках конкретной маркетинговой под функции. …
11天
Senior Manager, Revenue Enablement, CN
Airwallex —上海市
You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor.
6天

Show more similar jobs

我想收到 stack developer 的最新职位提醒

一旦登录您的账户，即表明您同意 SimplyHired 的服务条款和我们的Cookie 协议及隐私政策。

Deep Learning Compiler CI/Infrastructure Engineer

NVIDIA -
上海市

立即申请

职位详情

全职
2 小时前

完整职位描述

NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”.
In this role you will work closely with deep learning compiler engineers to own and evolve the CI/CD infrastructure that powers the development lifecycle of NVIDIA's deep learning compiler stacks. Responsibilities include designing and operating scalable CI systems that orchestrate ML workloads across diverse GPU and accelerator environments, deliver reliable correctness and performance signals, and serve as a primary technical point of contact for CI health, new project onboarding, and new architecture bring-up.
What you'll be doing:

Build, maintain, and improve CI infrastructure that supports development, verification, and release of NVIDIA’s deep learning compiler stacks across GPU and accelerator environments
Improve CI reliability and signal quality by reducing flakes, improving reproducibility, strengthening diagnostics, and making correctness and performance failures easier to understand and act on
Apply automation, AI, and agent-based workflows to reduce manual CI operations, speed up failure triage, and improve developer efficiency
Build reusable and self-service CI platforms that support multiple products, projects, model suites, hardware targets, and software configurations while partnering closely with compiler, infrastructure, and release teams

What we need to see:

BS, MS, or PhD (or equivalent experience) in Computer Science, Computer/Electrical Engineering, Mathematics, or a related field
5+ years of experience designing, scaling, and operating CI/CD, build/release, or developer infrastructure for complex software systems
Proven experience building CI platforms end-to-end using systems such as GitLab CI, Jenkins, or similar tools, including pipeline orchestration, compute/runner management, artifact and package systems, and observability, with strong emphasis on reliability, reproducibility, and debuggability
Strong software engineering skills (Python required), with the ability to design, implement, and debug distributed systems end-to-end
Familiarity with edge devices (SOC, e.g. NVIDIA Tegra) in host-target architecture, ability to debug it and knowledge to its automation nuances
Proven track record of designing, building, and deploying AI/LLM-based systems in real engineering workflows, demonstrating skill in evaluating trade-offs, failure modes, maintainability, and measurable impact on developer productivity, signal quality, or operational efficiency

Ways to stand out from the crowd:

Experience crafting and shipping sophisticated AI/agent-based systems that improve continuous integration or developer efficiency. These systems include intelligent test selection, automated triage and routing, regression localization, autonomous remediation, and developer-assist workflows
Experience operating CI for DL/GPU software environments, including multi-GPU / multi-node workloads on Slurm, Kubernetes, or cloud platforms
Familiarity with compiler IRs and infrastructure such as LLVM/MLIR, TensorRT IR, especially in the context of testing, debugging, and validating compiler-driven workloads

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

立即申请

完善您的搜索

stack developer 个职位

Deep Learning Compiler CI/Infrastructure Engineer

Senior Marketing Manager

Sr Research Scientist

Consultant Specialist

Software Technical Project Leader

AI Infrastructure Engineer

More jobs to discover

我想收到 stack developer 的最新职位提醒

Related Searches

求职者工具

雇主工具

浏览

保持联系