Senior System Software Engineer - GPU and SoC

California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Computer Hardware, Artificial Intelligence, Software DevelopmentIndustries

Requirements

Candidates must possess a BS or MS degree in Computer Engineering, Computer Science, or equivalent experience, along with 5+ years of relevant software development experience. A strong understanding of ARM microarchitecture and exception levels is required, as is experience solving problems in large, complex systems. Proficiency in C/C++ and Python programming, familiarity with ACPI and Device Tree concepts, and a solid grasp of computer system architecture, microprocessor, and microcontroller fundamentals are essential. Strong operating system fundamentals, including kernel and hypervisor experience on Windows and Linux, along with hands-on experience with debuggers like GDB and WinDBG, and compilers such as GCC, MSVC, and LLVM, are also necessary. A good understanding of SOC architecture spanning boot, security, and OS is needed. Experience with system-level debugging, system-level reliability and resiliency features, system-level security concepts, and embedded system software concepts are considered advantageous.

Responsibilities

The Senior System Software Engineer will develop and triage platform drivers for SOCs, build sophisticated automation triage tools, and isolate issues for firmware and OS drivers. Responsibilities include supporting OS driver development, bring-up, and triaging of platform and multimedia drivers, as well as supporting the OEM ecosystem with innovative solutions. The role involves assisting with Boot KPIs, Security, and OS drivers, following devices from pre-silicon to production across various business verticals, and participating in architecture definition and early modeling/simulation. Collaboration and effective communication with global teams are key aspects of this position.

Skills

GPU

SoC

System Software

Platform Drivers

BSP

CI/CD

Automation

Firmware

OS Drivers

Multimedia Drivers

Pre-silicon

Bringup

Production

Architecture Definition

Modeling

Simulation

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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