热门公司

招聘

职位NVIDIA

Platform Performance Architect, GeForce Now

NVIDIA

Platform Performance Architect, GeForce Now

NVIDIA

2 Locations

·

On-site

·

Full-time

·

2w ago

We are now looking for a Ge Force NOW Platform Architect. Ge Force NOW is NVIDIA's Cloud Gaming service streaming games at the highest quality to any and every user regardless of their device types and capabilities – low-end PCs, Macs, or mobile devices. Using the most advanced GPUs and NVIDIA proprietary software, Ge Force NOW transforms the gaming experience with always up-to-date games on always latest hardware, a streaming experience rivaling that of a local PC, and near-instant launch – just click and play!

For more details see http://www.geforce.com/geforce-now?nvid=nv-int-gn-4.

The Ge Force NOW Platform Architecture team is responsible for the Architecture, Performance and Efficiency of Cloud Gaming Servers used in current and upcoming hardware generations.

What you'll be doing:

  • Driving Performance analysis of current and next generation Cloud Gaming Hardware and finding bottlenecks.

  • Improving Gaming performance by driving optimizations at different levels of the Software stack including but not limited to Hypervisor, Driver and Firmware.

  • Influencing future system design.

  • Engaging with ODM and driving design reviews.

  • Enhancing Performance analysis tools and simulators.

What we need to see:

  • MS or BS, CS/EE (or equivalent experience) and at least 14+ years of related industry experience

  • Proven experience in System Software, Diagnostic Software, Hardware Reliability of GPU, CPU, Memory Controller, PCIe and Storage

  • Experience with BIOS, BMC and Firmware

  • Experience with Kernel Mode Drivers and OS/Hypervisor on Windows/Linux

  • Strong problem solving and analytical skills

Ways to stand out from the crowd:

  • Knowledge of Graphics APIs like Direct X, Vulkan and Metal

  • Knowledge of CPU/GPU/Accelerator Profiling tools

  • Development with C/C++

  • Experience with virtualization technologies

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and versatile people in the world working with us, and our engineering teams are growing fast in some of the most impactful fields of our generation: Cloud Systems, High-Performance Computing, and Cloud Gaming. If you're a creative engineer who enjoys autonomy and shares our passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 8, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

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.

总浏览量

0

申请点击数

0

模拟申请者数

0

收藏

0

关于NVIDIA

NVIDIA

NVIDIA

Public

A computing platform company operating at the intersection of graphics, HPC, and AI.

10,001+

员工数

Santa Clara

总部位置

$4.57T

企业估值

评价

4.1

10条评价

工作生活平衡

3.5

薪酬

4.2

企业文化

4.3

职业发展

4.5

管理层

4.0

75%

推荐给朋友

优点

Great culture and supportive environment

Smart colleagues and excellent people

Cutting-edge technology and learning opportunities

缺点

Team-dependent experience and outcomes

Work-life balance issues with long hours

Politics and influence over competence

薪资范围

73个数据点

L3

L4

L5

L6

L7

L3 · Product Manager IC2

0份报告

$183,722

年薪总额

基本工资

-

股票

-

奖金

-

$156,163

$211,281

面试经验

7次面试

难度

3.1

/ 5

体验

正面 0%

中性 86%

负面 14%

面试流程

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Interview

5

System Design Interview

6

Team Review

常见问题

Coding/Algorithm

System Design

Technical Knowledge

Behavioral/STAR