GPU Profiling Software Engineer
NVIDIA is hiring a GPU Profiling Software Engineer in Shanghai, China. Level rates it ; you can apply on NVIDIA.
Level's read on this job
- Builds AI ●●●● is how Level rates this software engineer role: the job is building AI systems.
- Tools and skills the posting cites include CUDA, Opengl and Vulkan.
- Level classifies it as a mid-level role.
- Level lists 2,700+ other open roles at NVIDIA.
AI in this role
GPU Profiling Software Engineer to build low-level developer tools, libraries, and performance metrics for next-gen accelerated computing.
At NVIDIA, we build groundbreaking products for the following sectors: Deep Learning, High Performance Computing, Gaming, VR, and Automotive. See your efforts in action as developers use your tools to debug, profile and analyze the performance of their systems/applications using the low-level library that you helped to craft as a member of the GPU Foundations Developer Tools team! Innovate as you develop the performance analysis capabilities of NVIDIA hardware along with the Nsight tools and the foundation library to support next generation accelerated computing at datacenter scale.
As a system software engineer in the Developer Tools group, you will be developing software that empowers GPU application developers to build outstanding applications that are recognized world-wide. We are seeking a motivated Software Engineer to join our team and contribute to the performance triage development and co-design of our software libraries in collaboration with our Hardware Architecture team. Join our team and gain exciting opportunities to work hands-on at every layer of NVIDIA's outstanding technology.
What you will be doing:
Partner with multi-disciplinary teams to design, implement, and verify performance metrics for NVIDIA GPUs
Work on developing and improving methodologies for profiling data collection from GPUs
Define, invent, and improve our GPU profiling library with new features to allow NVIDIA's customers to extract the best performance out of their applications
Read and understand HW specs to design solutions based on it
Craft software unit level tests and framework ensuring the quality of the product
Work on supporting a variety of platforms ranging from super-computers to embedded systems
What we need to see:
B.Tech. EE/CS or equivalent with 4+ years of experience, or M.Tech. with 2+ years of experience, or Ph.D.
Strong programming ability in C, C++, Python with proficiency in Data Structures and Algorithms
Solid understanding of Computer Architecture (e.g. x86, ARM CPUs, GPUs) and Operating System concepts
Knowledge of SW design principles, as that's a key as we scale!
Ways to stand out from the crowd:
Experience in Device Drivers or System Software development
Knowledge of GPU APIs such as CUDA, OpenCL, OpenGL, Direct3D, Vulkan
Prior experience authoring developer tools, particularly for GPUs
Experience in performance analysis of GPU applications
Ability to read and write in Assembly language, especially for multi-processor architectures
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most dedicated and hard-working people in the world working with us. If the work described above excites you and you are up to the challenge, we want to hear from you. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people in multiple disciplines to help us accelerate the next wave of computing.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity, 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, disability status or any other characteristic protected by law.
How we rate this
GPU Profiling Software Engineer at NVIDIA rates 80 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.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ 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
Also common in software engineer jobs at this level
Pay
- Typical software engineer job
- $168k
This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs
Questions you could be asked
- Tell me about a project where gpu architecture was part of your work. What did you do?
- Tell me about a project where performance analysis was part of your work. What did you do?
- Tell me about a project where system software was part of your work. What did you do?
- Tell me about a project where developer tools was part of your work. What did you do?
- Walk me through how you've used CUDA in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: GPU Architecture, Performance Analysis, System Software, Developer Tools, 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.
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