Full-Time

Senior System Software Engineer

Posted on 6/12/2025

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

No salary listed

Senior

Hyderabad, Telangana, India + 2 more

More locations: Pune, Maharashtra, India | Bengaluru, Karnataka, India

Category
Embedded Engineering
Software Engineering
Required Skills
C/C++
Android Development
Linux/Unix
Data Analysis
Requirements
  • BS/MS or equivalent experience.
  • 5+ years of overall experience and preferably with 2+ years of automotive industry experience.
  • Strong understanding of QNX/Linux/Android operating system and hands-on experience with QNX/Linux device driver development
  • Strong C/C++ programming and debugging skills
  • In-depth understanding of ARM processor architecture fundamentals
  • Background in embedded software development and deep knowledge of product development lifecycle.
  • Effective written and verbal communication regardless of audience or issue complexity.
  • Android Automotive/Android HAL development experience.
Responsibilities
  • Architecture, development, and enhancement of native/para-virtualized Linux/QNX device drivers
  • Developing/Designing/Debugging Android HALs
  • Solve complex system issues on Linux/Android/QNX OS
  • Lead the architecture discussions for SW components and interface with customers to support DRIVE software solutions.
  • Continuously evolve and support requirements gathering process and traceability flow.
  • Actively coordinate with cross-functional engineering teams to meet customer's requirements and to drive complex issues to closure.
  • Participate in architectural explorations which include feasibility studies, safety evaluations and data analysis.
Desired Qualifications
  • Extensive device driver development experience

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products, particularly GPUs, are essential for high-performance computing and artificial intelligence applications. NVIDIA's GPUs work by processing large amounts of data simultaneously, making them ideal for tasks like gaming graphics and complex computations in AI and machine learning. Unlike many competitors, NVIDIA focuses on both hardware and software solutions, offering cloud-based services that enhance the capabilities of their products. The company's goal is to lead in AI and HPC technologies, continuously pushing the boundaries of what is possible in computing.

Company Size

10,001+

Company Stage

IPO

Headquarters

Santa Clara, California

Founded

1993

Simplify Jobs

Simplify's Take

What believers are saying

  • NVIDIA's investment in Skild AI enhances its AI-driven automation solutions.
  • Collaboration with Utilidata opens new markets in smart grid solutions for NVIDIA.
  • Backing SandboxAQ positions NVIDIA in the emerging quantum AI field.

What critics are saying

  • Increased competition from startups like nEye Systems challenges NVIDIA's AI hardware dominance.
  • Integration of Lepton AI poses cultural and technological alignment challenges for NVIDIA.
  • Rapid AI and HPC innovation could render NVIDIA's current products obsolete.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC with cutting-edge GPU technology.
  • The company excels in cloud-based AI solutions, enhancing scalability and performance.
  • NVIDIA's strategic acquisitions bolster its AI infrastructure and cloud capabilities.

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Benefits

Company Equity

401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

1%

1 year growth

0%

2 year growth

0%
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