Systems Software Engineer – AV Platform Scheduling 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, Autonomous VehiclesIndustries

Requirements

BS/MS or higher in computer engineering, computer science or related fields (or equivalent experience)
5+ years of proven experience
Excellent C, C++ and Python programming skills
Experience developing and debugging multithreaded/distributed applications like multimedia systems, game engines, etc
Expertise in low-latency programming and debugging techniques, especially for parallel and distributed architectures
Solid grasp of Software Architecture principles
Strong understanding of Linux and real-time operating systems
Great communication and analytical skills
Be hands-on and work well within a team of algorithm, software and hardware engineers, with a significant level of detail orientation and a penchant for data organization and presentation
Experience with the git version control system and build systems like Cmake/Bazel

Responsibilities

Developing and optimizing software architecture and frameworks for real-world performance while matching or exceeding customer requirements
Improving efficiency by optimizing computer utilization with multiple hardware engines for enhanced software performance
Working on areas such as component abstraction layers, inter-process data sharing and communication, and process scheduling
Solidifying existing frameworks and software components and validate with large amounts of real and synthetic data the improvements of the computational performance and system utilization
Performing in-vehicle tests, collecting data and completing autonomous drive missions
Developing unit/integration tests, documentation for features, evaluating quality and proposing corrective actions
Developing highly efficient product code in python and/or in C++, making use of high algorithmic parallelism offered by GPGPU programming (CUDA)
Follow quality and safety standards such as defined by MISRA and ISO26262

Skills

C++

Python

CUDA

Multithreading

Distributed Applications

Low-Latency Programming

Software Architecture

Real-Time Scheduling

MISRA

ISO26262

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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