AI应用开发实习生
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Design GPU and Tegra-based hardware systems across products including server, automotive, and consumer electronics. Recent graduates with a B.S. or M.S. in Electrical Engineering will develop schematics, lead PCB layout and validation, and drive testing and debug efforts. Required skills include PCB design, proficiency with lab tools like oscilloscopes and logic analyzers, and strong Linux and Windows experience. Base salary ranges from $92,000–$155,250 for Level 1 or $108,000–$184,000 for Level 2, plus equity and benefits.
Written from this posting by Neural Jobs AI. The full description is below.
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 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. NVIDIA is a “learning machine” that constantly evolves by adapting to new challenges that are hard to tackle, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. We are now looking for a System Design Engineer in the Graphics Product Team. In this role, you will be working with a team of HW/SW engineers to develop NVIDIA GPU/Tegra based products for GPU cards, MGX servers, automotive, robotics, industrial PC, consumer electronics, etc.
What You'll be Doing:
Build system hardware products around GPU & Tegra SoC.
Collaborate with cross-function team to pursue the balance of product cost, performance, and schedule under the guidance of system architects and product architects.
Drive initial test and bringup, lead the debug efforts.
Create schematic, supervise PCB layout and system validation.
Handle documentation required to release the product to manufactures and partners.
Optimize/invent circuits, functions for better performance, and lower cost.
Improve the design flow together with the infrastructure team.
What We Need to See:
Recent graduate with a B.S or M.S. in Electrical Engineering or equivalent experience.
Have strong analytical skills including past experience in PCB design and review.
Experience with using lab tools such as oscilloscopes, multimeters, and logic analyzers.
Possess a nurtured knowledge of Linux, and be very comfortable working in various Linux environments as well as with Windows OS’s
Strong verbal and written skills.
NVIDIA is 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 with us. If you're creative and autonomous, we want to hear from you!
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.Here is what this employer asked for. Sign in and we will fill in your half.
NVIDIA builds the GPUs and the CUDA software stack that most modern AI is trained and served on, along with its own research in graphics, robotics and foundation models.
183K – 253K
Our estimate — this employer did not publish a salaryOur estimate, not the employer’s. Worked out from the middle half of 36 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.
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