Senior Software Engineer, Streaming Performance and Analytics at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Gaming, Cloud ComputingIndustries

Requirements

Master’s degree or equivalent experience in Computer Science, Data science or closely related field
8+ years of hands-on experience in software development, data analysis, and machine learning
Proficiency in modern C++ (C++14/17/20) and Python, strong software development, optimization, and debugging skills
Good understanding of some of low-latency streaming protocols such as WebRTC
Deep knowledge of multi-threading, low-latency systems, and performance-critical programming in Windows and Linux
Hands-on experience in AI/ML and data analysis, preferably with exposure to large-scale datasets
Strong communication skills and ability to work across multiple teams and disciplines

Responsibilities

Design, develop and test high-performance C++ software for cloud gaming servers
Contribute to architectural decisions that impact scalability, efficiency, and streaming quality
Apply machine learning and statistical analysis to classify issues, detect regressions, and identify root causes and actionable insights
Drive improvements to service reliability, efficiency, and user experience using data-driven insights
Identify and implement opportunities for continuous process and system improvement within the analytics function
Collaborate with video encoding, networking, and systems teams to deliver low-latency, high-fidelity game streaming
Help the team to design, develop, and deploy machine learning and AI models at scale to tackle real-world business challenges

Skills

C++

Machine Learning

Statistical Analysis

AI Models

Performance Optimization

Telemetry

Analytics

Cloud Streaming

Video Encoding

Networking

Systems 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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