Senior Computer Vision and Deep Learning Hardware Architect

NVIDIA
Shanghai
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 3+ yearsSkills: ["Collaboration"]

Architect and deliver efficient software and performance for NVIDIA’s programmable vision accelerator (PVA) used in autonomous driving and robotics. You will analyze, prototype, and optimize key PVA applications across existing and new architectures, build models to predict performance/power/reliability, and help craft tools to simulate, validate, and verify energy and application performance. Collaborate with cross-functional teams to advance PVA performance, efficiency, reliability, and programmability.

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FursaFursa
NVIDIA
NVIDIA
1 month ago

Senior Computer Vision and Deep Learning Hardware Architect

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Source: Company careers pageValidated by: Fursa AI
Last checked: 19 hours agoStatus: Live

Job Summary

Architect and deliver efficient software and performance for NVIDIA’s programmable vision accelerator (PVA) used in autonomous driving and robotics. You will analyze, prototype, and optimize key PVA applications across existing and new architectures, build models to predict performance/power/reliability, and help craft tools to simulate, validate, and verify energy and application performance. Collaborate with cross-functional teams to advance PVA performance, efficiency, reliability, and programmability.
Location: Shanghai
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Deliver the most efficient software on PVA for autonomous driving solutions.
  • •Analyze, prototype, and optimize key PVA applications for existing and new architectures.
  • •Build models to predict performance, power, and reliability on future architectures and propose/evaluate new architecture features.
  • •Develop tools to analyze, simulate, validate, and verify application performance and energy consumption.
  • •Collaborate with different teams to improve PVA architecture for better performance, efficiency, reliability, and programmability.

Key Requirements

  • •Master’s or PhD (or equivalent experience).
  • •3+ years of experience in a relevant discipline (CE, CS&E, CS, AI).
  • •Excellent C/C++ programming and software design skills.
  • •Strong background in computer architecture and high performance computing.
  • •Performance modelling, profiling, debugging, and code optimization, or architectural knowledge of CPU and DSP.
Experience:3+ yearsAutonomous drivingComputer visionDeep learning
Skills:Collaboration
Tech Stack:CC++CPUDSPGPUComputer architectureHigh performance computingPerformance modelingProfilingDebugCode optimizationSimulationValidationVerification

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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