位于上海市的 14 个优质data developer职位（正在招聘！）

Senior Software Engineer, Automation Infrastructure
NVIDIA —上海市
- 全职
5 小时
Business Development Manager
Altios International —上海市
APAC IT Director
NVIDIA —上海市
- 全职
17 小时
Customer Success Engineer (China)
JetBrains —上海市
SAP Full Stack Developer
Apple —上海市
5天
Senior Marketing Manager
JetBrains —上海市
Manufacturing Engineer
Agilent Technologies (Shanghai) Co., Ltd —上海市
8天
Sr. Analyst, Banca Channel Application Development
AIA —上海市
- 全职
1天
SAP BTP Full-Stack Engineer
Apple —上海市
1天
Account Executive, Developed Markets (Asia Pacific), Rosetta Stone
IXL Learning —上海市
4天
Senior Site Reliability Engineer - ASE / iCloud
Apple —上海市
5天
Campus Ambassador
JetBrains —上海市
(Senior)Backend Engineer (Golang)
Xsolla —上海市
快速申请
Client Partner, Games Domestic, Apple Ads Partner Development, Greater
Apple —上海市
6天

More jobs to discover

Find similar jobs that you might be interested in.

Manager, Business Strategy and Development
Danfoss —上海市
Minimum 5 years in business strategy, consulting, business development, program management, or a similar role. What You’ll Be Doing.
Business Development Assistant Manager/Manager
Louis Vuitton —上海市静安区
Ad-hoc needs per business needs and handle daily operation process. Proactively and independently lead the Negotiating and contracts signing process with key…

Show more similar jobs

我想收到关于上海市的 data 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。

查看更多地区的职位

data developer jobs near 上海市

位于山东省的Application Developer职位

位于上海市的Finance Director职位

位于苏州市的Head Of Compliance职位

位于北京市的It Director职位

位于佛山市禅城区的Business Development Manager职位

位于深圳市的Production Manager职位

位于江苏省的Business Development Manager职位

位于广东省的Manager职位

位于汕头市的Finance Manager职位

位于凤岗镇的Business Development Manager职位

位于新乡市原阳县的Product Manager职位

位于北京市的Senior Marketing Manager职位

位于天津市的Program Manager职位

位于北京市的Site Reliability Engineer职位

位于浙江省的R&d Engineer职位

位于天津市的Semiconductor Engineer职位

位于南通市的Materials Engineer职位

位于上海市的Manager Operating职位

位于北京市的Customer Success Manager职位

位于惠州市惠阳区的Office Manager职位

Senior Software Engineer, Automation Infrastructure

NVIDIA -
上海市

立即申请

职位详情

全职
5 小时前

完整职位描述

NVIDIA's Performance Lab (PerfLab) builds the systems and automation used to evaluate the performance and quality of accelerated computing and AI workloads. We turn complex benchmark experiments into reliable, scalable, and reproducible workflows that help engineering teams make better decisions faster.

We are looking for an experienced and highly self-motivated System Software Engineer to help build the next generation of PerfLab's benchmark infrastructure. You will independently own meaningful platform components and take projects from problem discovery and technical design through production deployment and adoption. The ideal candidate enjoys finding important engineering problems, understanding their root causes, and using technology to create simple, reusable solutions.

You will collaborate with NVIDIA teams around the world and work on evolving areas such as large language models, agentic AI, accelerated computing, and other emerging AI workloads.

What You'll Be Doing:

Design, build, and maintain reusable software, services, and workflows that automate benchmark definition, execution, result collection, validation, and reporting across local, cluster, and cloud-native environments.
Carry out performance testing and analysis as needed. Develop a deep understanding of existing performance workflows and infrastructure, and translate real-world needs into scalable, user-friendly solutions.
Improve the reliability, scalability, observability, and reproducibility of large benchmark campaigns.
Diagnose complex issues across applications, Linux systems, containers, distributed jobs, compute resources, networking, and storage.
Build strong partnerships with performance engineers, QA teams, product teams, and other customers; agree on goals, organize execution, and drive new ideas and projects from concept through adoption.
Contribute to technical designs, code reviews, documentation, and internal or open-source infrastructure projects.
Apply AI-assisted automation where it can meaningfully improve benchmark creation, failure triage, data analysis, or engineering productivity.

What We Need to See:

Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, or equivalent experience in practice.
5+ years of relevant software engineering experience in system software, infrastructure, developer platforms, distributed systems, or production automation.
Strong Python programming and software engineering skills, with experience building production-quality tools, services, or automation frameworks.
Solid understanding of Linux and system-level concepts such as processes, concurrency, networking, storage, resource management, and failure handling.
Hands-on experience with containers and at least one workload orchestration, scheduling, or distributed computing platform, as well as designing reliable systems or pipelines with clear interfaces, testing, observability, and recovery behavior.
Working knowledge of machine learning, AI, or accelerated-computing workloads and an interest in how their performance and quality are evaluated.
Strong analytical and problem-solving abilities, with the capacity to manage multiple priorities effectively and adapt in a dynamic, fast-changing environment.
High self-motivation and demonstrated ability to identify valuable problems, turn ambiguous needs into clear technical plans, and drive projects through delivery and adoption.
Excellent communication and organizational skills, with the ability to align cross-functional stakeholders, collaborate with globally distributed teams, and move new ideas toward concrete outcomes.

Ways to Stand Out From the Crowd:

Experience with GPU or AI infrastructure, distributed training or inference, model evaluation, or performance benchmarking.
Experience building workflow engines, schedulers, experiment platforms, test frameworks, or developer infrastructure.
Experience operating distributed or cloud-native systems in production, including performance profiling, capacity analysis, resource scheduling, or multi-node workloads.
Practical experience using AI agents, tool-calling, or coding agents to automate engineering workflows.
Contributions to open-source infrastructure or developer tooling, or a track record of initiating automation that reduced manual work, improved reliability, or helped other teams move faster.

We have some of the most forward-thinking and hardworking people in the world working for us. If you are creative, autonomous, and passionate about building systems that make complex AI performance work repeatable and scalable, we want to hear from you.

立即申请

完善您的搜索

在上海市的data developer个职位

Senior Software Engineer, Automation Infrastructure

Business Development Manager

APAC IT Director

Customer Success Engineer (China)

SAP Full Stack Developer

Senior Marketing Manager

Manufacturing Engineer

Sr. Analyst, Banca Channel Application Development

SAP BTP Full-Stack Engineer

Account Executive, Developed Markets (Asia Pacific), Rosetta Stone

Senior Site Reliability Engineer - ASE / iCloud

Campus Ambassador

(Senior)Backend Engineer (Golang)

Client Partner, Games Domestic, Apple Ads Partner Development, Greater

More jobs to discover

我想收到关于上海市的 data developer 的最新职位提醒

Related Searches

查看更多地区的职位

求职者工具

雇主工具

浏览

保持联系

完善您的搜索

在上海市的data developer个职位

More jobs to discover

我想收到关于 上海市 的 data developer 的最新职位提醒

Related Searches

查看更多地区的职位

我想收到关于上海市的 data developer 的最新职位提醒