Systems Software Engineer - GeForce NOW Low Latency Streaming Technology at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, GamingIndustries

Requirements

BS or MS in Computer Science or a related field, or equivalent experience
2+ years of experience in multi-threaded programming and system software design
Proficient in C, C++, and multi-threaded programming
Experience with system software design and debugging
Experience implementing and improving performance and video quality through various stages of the video processing pipeline
Background with analyzing performance and CPU/GPU resource utilization for video/graphics applications
Experience with networking, WebRTC, and other audio and video technologies

Responsibilities

Develop and improve the media streaming stack to deliver ultra-low streaming latency, video quality, and network resilience
Own the end-to-end software development cycle for features and modules, meeting performance, reliability, scalability, and sustainability requirements
Develop tools for video performance and quality analysis, verification, and tuning
Define and build performance metrics and indicators, leveraging data to analyze and improve streaming performance and user experience
Participate in software reviews and contribute to the quality of designs and code across the team
Contribute to the evolution of team processes and methodologies

Skills

Key technologies and capabilities for this role

CC++Multi-threaded ProgrammingSystem Software DesignDebuggingVideo Processing PipelinePerformance AnalysisCPU/GPU UtilizationNetworkingWebRTC

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a remote position.

What is the salary for this Systems Software Engineer role?

This information is not specified in the job description.

What skills are required for this role?

Required skills include proficiency in C, C++, and multi-threaded programming, experience in system software design and debugging, video pipeline performance optimization, performance analysis for video/graphics applications, and networking knowledge including WebRTC.

What is the team culture like at NVIDIA for this role?

The team is focused on innovation and challenging the state-of-the-art in ultra-low-latency streaming technology.

How do I apply for this position?

Visit the NVIDIA website at https://www.nvidia.com/en-us/geforce-now to apply. Strong candidates will have a BS or MS in Computer Science or equivalent, plus 2+ years of experience in multi-threaded programming and system software.

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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