Senior GPU System Software Engineer at NVIDIA

Hyderabad, Telangana, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, AI, TechnologyIndustries

Requirements

Master’s degree in computer science, Computer Engineering or equivalent experience
7+ years of experience
Strong C programming skills as well as having shown initiative in pursuing independent coding projects
Solid engineering background and understanding of good code methodology
Experience writing code to directly control hardware (a plus)
Good foundation and knowledge of OS & RTOS concepts
Develop and maintain kernel-mode drivers for Linux and WDDM-compliant drivers for Windows
SOC platform engineering, development/integration/bring up
Excellent problem-solving and cross-team collaboration skills
Ways to stand out
SOC System level understanding and good knowledge of tools like windbg, gdb, kernel tracing utilities
Familiarity with graphics/display subsystems, DMA, interrupt handling, and memory management
Proficient in navigating the functionalities of diverse IPs within the SOC platform, backed by a robust knowledge of memory management and coherency principles

Responsibilities

Developing and validating software for our next-generation SOC platform
Solve and debug problems related to Memory, ACPI, Graphics, and Display to support our customers, partners, and users
Investigating and scoping out the architecture requirement for the next-generation SOC systems
Investigate and debug hard hangs across various system components (CPU, memory, I/O)
Collaborate closely with hardware, firmware, and OS teams to isolate root causes
Utilize hardware debug tools (e.g., JTAG) and software diagnostics
Collect and analyse crash dumps, logs, and signal traces
Support validation and bring-up activities for new hardware platforms
Provide feedback for design improvements

Skills

Key technologies and capabilities for this role

CACPIPCIAGPUSBSMBusJTAGSOCGPUMemoryGraphicsDisplayNetworkingAudioIDE

Questions & Answers

Common questions about this position

What education and experience are required for this Senior GPU System Software Engineer role?

A Master’s degree in computer science, Computer Engineering or equivalent experience is required, along with 7+ years of experience.

What key skills are needed for this position?

Strong C programming skills, solid engineering background with good code methodology, knowledge of OS & RTOS concepts, and experience developing kernel-mode drivers for Linux and Windows are essential. Experience writing code to directly control hardware and excellent problem-solving and cross-team collaboration skills are also required.

Is this a remote position, or does it require working in an office?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What makes a candidate stand out for this NVIDIA role?

Candidates stand out with SOC system level understanding, knowledge of tools like windbg and gdb, familiarity with graphics/display subsystems, DMA, interrupt handling, memory management, and proficiency navigating diverse IPs within the SOC platform.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

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 include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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