Senior Software Engineer - GeForce NOW Video Streaming Technology at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Gaming, Technology, Artificial IntelligenceIndustries

Requirements

Bachelor’s or Master’s degree in Computer Science or a related field or equivalent experience
Proficiency in C, C++, Python
Experience with GPU-accelerated video and graphics pipelines, usage of hardware-based video encoders, color spaces, operations such as video scaling, tone mapping, etc
Familiarity with API frameworks such as Vulkan, CUDA, OpenGL and DX
Solid understanding of toolsets in different video codecs like H.264, HEVC, and AV1, including tuning codec configurations to meet application requirements and trade-offs
Proficiency in telemetry, statistical data analysis, and performance monitoring to measure and optimize video quality, latency, and system performance in cloud infrastructures
Experience in using and integrating AI models into real-time video pipelines
Strong understanding of different layers of the software stack, including OS internals, user-mode and kernel-mode drivers, strong system software performance analysis, testing, and debugging skills
5+ years of experience in the above areas

Responsibilities

Design and develop new video streaming functionalities, delivering new interactive experiences
Innovate, design, and develop features to improve image quality, performance, reliability, security, and maintainability
Analyze GPU/CPU performance for the video pipeline, isolate bottlenecks, and implement solutions in collaboration with GPU hardware and software teams to deliver top performance
Develop tools to measure video quality experienced by users and refine to enable evaluation of quality improvements with high confidence
Leverage features and toolsets in the latest video compression technologies to deliver high-quality streaming solutions tailored for different interactive graphics applications
Apply machine learning and AI models to develop specialized video processing and adaptive streaming algorithms to minimize perceptible artifacts while delivering the lowest latency under different network conditions

Skills

Video Streaming

GPU Performance

CPU Performance

Video Compression

Machine Learning

AI Models

Adaptive Streaming

Low-Latency Streaming

Video Quality Metrics

Performance Optimization

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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