NVIDIA
Posted 2mo ago

Developer Technology Engineer, AI

NVIDIA
Beijing or Shanghai or Shenzhen
OnsiteFull Time
Responsibilities
  • optimizing performance
  • supporting customers
  • collaborating teams
Requirements
  • BS/MS/PhD in engineering or computer science (or equivalent)
  • 3+ years experience
  • Proficiency in C/C++ and/or Python
  • CUDA/parallel programming experience
  • Strong math and communication skills
Technical tools mentioned
CUDA C/C++C/C++Python

Job description

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 30 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.


What you'll be doing:

  • Study and develop cutting-edge techniques in CUDA programming, profiling, optimization. Application domains include deep learning, graphic, machine learning, and data analytics, and perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures.

  • Work directly with key customers to understand the current and future problems they are solving and provide the best AI solutions using GPUs.

  • Collaborating closely with diverse groups at NVIDIA such as the architecture, research, libraries, tools, and system software teams to influence the design of next-generation architectures, software platforms, and programming models, by investigating the impact on application performance and developer efficiency.

  • Need to travel from time to time for conferences and for on-site visits with developers.

What we need to see:

  • A BS, MS, or PhD degree from a leading university in an engineering or computer science related field (or equivalent experience). While not a requirement, domain expertise in LLM, CTR, CV, or HPC, is helpful.

  • 3+ years experience, programming proficiency in C/C++ and/or Python with a deep understanding of software design, programming techniques, and algorithms.

  • Strong mathematical fundamentals, including linear algebra and numerical methods.

  • Experience with parallel programming, ideally CUDA C/C++.

  • Strong communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

About NVIDIA

Designs graphics processing units and artificial intelligence hardware.

Similar jobs

Developer Technology Engineer roles near Beijing, Beijing
1mo
Save
Mark Applied
Hide
Developer Technology Engineer - AI
Shanghai or Beijing or Shenzhen
OnsiteFull Time
NVIDIA
NVIDIANASDAQ: NVDA: Designs GPU-accelerated computing and artificial intelligence hardware.
2+ YOEUniversity degree in engineering/CS or equivalent, 2+ years experience, strong C/C++/Python/Fortran, GPU and parallel programming, algorithm and performance optimization, distributed communication knowledge.
C, C++, Python, Fortran, Megatron, TRTLLM, SGLang, vLLM, cuDNN, cuBLAS, CUTLASS, DeepGEMM, FlashMLA, FlashAttention, Flashinfer, NCCL, NVSHMEM, DeepEP, NVLINK, InfiniBand, RoCE
1d
Save
Mark Applied
Hide
阿里云智能-商业技术工程师BTE(移动)-央企(北京)
Beijing, Beijing Municipality, China
OnsiteFull Time
Alibaba Cloud
Alibaba CloudNYSE: BABA: Global cloud computing infrastructure and services provider
3+ YOEBachelor's degree required. Requires 3–5 years in telecommunications, cloud/AI/SaaS sales or business development, customer relationship experience, AI product knowledge, and willingness to travel.
1d
Save
Mark Applied
Hide
Advanced Manufacturing Technology Engineer
Beijing, Beijing, China
OnsiteFull Time
GE HealthCare
GE HealthCareNasdaq: GEHC: Develops and sells medical imaging and diagnostic technology.
Bachelor’s degree in engineering or science preferred; requires manufacturing process development, equipment validation, root-cause analysis, cross-functional collaboration, project coordination, communication, and risk management skills.
DMR, DHR
1w
Save
Mark Applied
Hide
标准技术工程师(核心网)-手机
Beijing, Beijing, China
OnsiteFull Time
Xiaomi
XiaomiHKEX: 1810: Designs and manufactures smartphones, consumer electronics, and smart devices.
Master's degree or higher in electronics, communications, computer science, or related fields; communications theory knowledge; English proficiency; and strong communication and independent problem-solving skills.
4mo
Save
Mark Applied
Hide
前瞻技术规划高级工程师
Beijing, Beijing, China
OnsiteFull Time
Li Auto
Li AutoNASDAQ / HKEX: LI / 2015: Designing and manufacturing premium smart electric vehicles.
8+ YOE5+ MgmtLead forward-looking technology planning for automotive R&D, drive multi-disciplinary technology roadmaps and manage cross-domain project delivery; requires 8+ years industry experience and bachelor's degree.
1y
Save
Mark Applied
Hide
隐私技术检测BP-隐私和数据保护办公室(北京)
Beijing, Beijing, China
OnsiteFull Time
ByteDance
ByteDance: Developing AI-driven content platforms and mobile applications.
2+ YOEBachelor's degree preferred,2+ years privacy/data/information security experience,knowledge of app compliance and GDPR/CCPA,experience with iOS/Android scanning and data analysis,strong engineering understanding and collaboration skills.