NVIDIA

Senior Software Engineer-Distributed Inference

California, United States

NVIDIA Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Semiconductors & HardwareIndustries

Requirements

Candidates must possess a Bachelor’s, Master’s, or Ph.D. degree, or equivalent experience in Computer Science or a related field, and have at least 8 years of experience in Computer Science, computer architecture, or a related field. Strong programming skills in Python are required, along with experience in distributed systems programming.

Responsibilities

The Senior System Software Engineer will develop and enhance functionalities within the GenAI-Perf, Triton Performance Analyzer, and Triton Model Analyzer tools, collaborating with researchers and engineers to translate their performance analysis needs into actionable features. They will also be responsible for setting up, executing, and analyzing the performance of LLM, Generative AI, and deep learning models, developing efficient algorithms for measuring deep learning throughput and latency, benchmarking large language models, and deploying models. Furthermore, they will integrate various tools to create a unified and user-friendly experience for deep learning performance analysis, automate testing processes, contribute to technical documentation, and stay up-to-date on the latest advancements in deep learning performance analysis and LLM optimization techniques.

Skills

Distributed Systems Programming
Python
Software Design
Debugging
Performance Analysis
Test Design
Algorithms
Deep Learning
Model Benchmarking
Model Deployment
Automation
Technical Documentation

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.

Key Metrics

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.

Land your dream remote job 3x faster with AI