Skip to content

NVIDIA

Developer Technology Engineer, AI

NVIDIA is hiring a Developer Technology Engineer, AI in Beijing, China. Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
  • Tools and skills the posting cites include CUDA, C and Python.
  • Level classifies it as a senior role.
  • Level lists 2,700+ other open roles at NVIDIA.

AI in this role

Design and optimize cutting-edge AI and GPU accelerated software solutions for deep learning and high-performance computing applications.

CUDACPython
deep-learningmachine-learninggpu-optimizationhpc

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.

How we rate this

Developer Technology Engineer, AI at NVIDIA rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Deep learningMachine learningGPU OptimizationHpcCUDACPython

Questions you could be asked

  1. Tell me about a project where deep learning was part of your work. What did you do?
  2. Tell me about a project where machine learning was part of your work. What did you do?
  3. Tell me about a project where gpu optimization was part of your work. What did you do?
  4. Tell me about a project where hpc was part of your work. What did you do?
  5. Walk me through how you've used CUDA in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Deep learning, Machine learning, GPU Optimization, Hpc, and CUDA. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

Get your CV reviewed before you apply

Send your CV and the role you want next. Your review arrives by email within 3 days.

Get new software engineering jobs (Builds AI ●●●●) by email

One email a week, each job rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.

Free.

Similar roles

Software Engineering roles that build AI, at other companies.

What kind of AI work fits you?

Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.

Find my next step

More jobs at NVIDIA

Related searches

Same AI level

Jobs by city