Senior Systems Software Engineer – RTOS and Hypervisor at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, Artificial Intelligence, Autonomous VehiclesIndustries

Requirements

BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or a related engineering field, or equivalent experience
8+ years in embedded software development, with extensive experience in RTOS and hypervisor development for high-assurance systems
Proficiency in C and C++
Deep understanding of ARMv8 / ARM 64-bit architecture, including hypervisor extensions, weak memory model (DSB, DMB, ISB), and low-level system programming
Solid understanding of operating system concepts, including virtual memory, page tables, caches, and synchronization primitives
Strong skills in designing scalable, high-performance embedded software and developing core RTOS and virtualization features for mixed-criticality systems

Responsibilities

Architect and develop advanced RTOS and hypervisor capabilities to support next-generation use cases through dynamic CPU and memory partitioning
Design and implement scalable core OS mechanisms—including scheduling, memory management, and inter-partition communication—to enable flexible, high-performance system behavior
Apply formal methods (e.g., TLA+) to specify and verify dynamic aspects of the architecture, ensuring correctness, safety, and predictable behavior under reconfiguration
Design and implement core virtualization features that leverage hardware-assisted virtualization on NVIDIA Tegra SoCs based on ARM architecture, optimizing performance and efficiency

Skills

RTOS

Hypervisor

CPU partitioning

Memory management

Scheduling

Inter-partition communication

TLA+

Formal methods

ARM architecture

Hardware-assisted virtualization

NVIDIA Tegra

Automotive safety

Real-time systems

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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