Manager, System Software Engineering - Infrastructure Engineering and Automation
NVIDIA · Posted Nov 6
Graphics processing units, artificial intelligence platforms, accelerated computing, and data center solutions
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About the role
NVIDIA's infrastructure and validation engineering teams supporting Local AI and PC gaming R&D develop the software infrastructure, test automation, and debugging tools that enable reliable validation at scale, and operate the company's largest hardware cluster dedicated to these domains. The role covers current and next-generation platforms including RTX PCs, RTX Spark, DGX Spark, RTX PRO systems, and DGX Station. This manager will define the infrastructure and validation strategy, lead teams building scalable automation to validate AI inference frameworks, agents, kernel libraries, and DirectX gaming drivers, and own lab operations and hardware health.
What you will do
- 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, including hardware health, maintenance, and recovery.
- Define and drive the team's technical roadmap, priorities, and delivery commitments across Local AI and PC gaming, balancing long-term infrastructure improvements with day-to-day engineering needs.
- Drive the development and deployment of tests and benchmarks that reflect real-world usage, supported by automation for environment setup, test execution, log collection, and results analysis.
- Build tools that help reproduce failures and analyze logs and system metrics. Partner with engineering teams to identify root causes and resolve functional issues and performance bottlenecks across the hardware and software stack.
- Ensure build systems, CI pipelines, test orchestration, and hardware labs are reliable and scalable. Plan staffing, hardware capacity, schedules, and investments with infrastructure, security, and operations partners.
- 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, align priorities, resolve dependencies, and deliver infrastructure that accelerates engineering productivity.
Skills used in this role
What the employer is looking for
- Bachelor's or master's degree, in Computer Engineering, Computer Science, Electrical Engineering, or a related technical field, or equivalent experience.
- Min 3 years of exp in management and over all 10+ years of relevant software engineering experience, including substantial system software, platform, runtime, or systems infrastructure development.
- Proven record of managing large, high-performing software teams, setting direction, developing engineers, and delivering results through teams.
- In-depth knowledge of system programming and operating systems concepts, including APIs, processes and threads, concurrency, memory and resource management, and software–hardware interaction.
- Experience designing, debugging, profiling, or optimizing software across system boundaries, using instrumentation and performance data to improve correctness, reliability, and efficiency.
- Experience setting technical strategy and operational goals, leading multi-team engineering programs, and balancing staffing, capacity, schedules, and investments.
- Ability to communicate technical decisions to senior stakeholders and align partners across software and hardware disciplines.
Preferred qualifications
- Background with graphics software, GPU or device-driver stacks, DirectX, or Windows platform bring-up.
- Experience integrating or debugging local AI inference frameworks such as llama.cpp, Ollama, PyTorch, vLLM, or Windows ML; familiarity with CUDA or GPU programming is a plus.
- Experience building system software, runtimes, developer tools, test frameworks, or benchmark infrastructure used across diverse hardware configurations.
- Experience with system profiling, performance optimization, telemetry, diagnostics, or analysis of CPU and GPU workload behavior.
- Contributions to open-source software or experience supporting developer-facing software infrastructure and hardware-backed validation.
Benefits and support
- Compensation and benefits are detailed in the job posting
About NVIDIA
NVIDIA Corporation is a multinational technology company that designs graphics processing units (GPUs) for the gaming and professional markets, as well as system on a chip units (SoCs) for the mobile computing and automotive market. Pioneering accelerated computing, the company has become a driving engine of modern artificial intelligence, deep learning, and data center infrastructure.
- Industry
- Semiconductors
- Company size
- 42000+ employees
- Founded
- April 5, 1993
- Location
- Santa Clara, California, USA
- Funding stage
- Public Company
Funding
Public Company · $5M raised
Leadership
Founder, President and Chief Executive Officer
Executive Vice President and Chief Financial Officer
Founder and NVIDIA Fellow
Executive Vice President, Worldwide Field Operations
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