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From the employer's careers site First seen 9 Nov 2026

Engineering Leader - Infrastructure and Validation

NVIDIA Pune, India senior full-time

The employer hasn't listed a salary.

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Description

NVIDIA is seeking an experienced engineering leader to build and lead infrastructure and validation engineering teams supporting Local AI and PC gaming R&D.

You will define the infrastructure and validation strategy for current and next-generation platforms, including RTX PCs, RTX Spark, DGX Spark, RTX PRO systems, and DGX Station.

Responsibilities:

  • Lead and grow infrastructure and validation engineering teams responsible for CI/CD, test development and automation, regression analysis, failure triage and debugging support, and lab operations.
  • Define and drive the team's technical roadmap, priorities, and delivery commitments across Local AI and PC gaming.
  • Drive the development and deployment of tests and benchmarks that reflect real-world usage.
  • Build tools that help reproduce failures and analyze logs and system metrics.
  • Ensure build systems, CI pipelines, test orchestration, and hardware labs are reliable and scalable.
  • Communicate strategy, progress, risks, and technical trade-offs to engineering teams and senior leadership.
  • Partner with graphics, driver, platform, Local AI, product, and open-source teams to define requirements and deliver infrastructure.

Requirements:

  • Bachelor's or master's degree in Computer Engineering, Computer Science, Electrical Engineering, or a related technical field.
  • Minimum 3 years of experience in management and over 10 years of relevant software engineering experience.
  • Proven record of managing large, high-performing software teams and delivering results.
  • In-depth knowledge of system programming and operating systems concepts.
  • Experience designing, debugging, profiling, or optimizing software across system boundaries.

Benefits:

  • Highly competitive salaries
  • Comprehensive benefits package (details at www.nvidiabenefits.com)

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Skills

Required

Nice to have

  • Graphics Software
  • GPU or Device-Driver Stacks
  • DirectX
  • Windows Platform
  • Local AI Inference Frameworks
  • CUDA
  • GPU Programming
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