NVIDIA

Senior Software Engineer-Distributed Inference

California, United States

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

Position Overview

  • Location Type: Remote
  • Employment Type: Full time
  • Salary: Not specified

NVIDIA is seeking a Senior System Software Engineer to contribute to user-facing tools for Triton Inference Server. This role focuses on enhancing tools for deep learning performance analysis, specifically targeting Large Language Models (LLMs) and Generative AI. NVIDIA is committed to fostering a diverse and supportive environment where employees can thrive. The team is dedicated to making deep learning more accessible to data scientists through innovative tools and software.

Requirements

  • Bachelor’s, Master’s, or PhD degree in Computer Science, Computer Architecture, or a related field, or equivalent experience.
  • 8+ years of experience in Computer Science or a related field.
  • Knowledge of distributed systems programming.
  • Excellent Python programming and software design skills, including debugging, performance analysis, and test design.
  • Ability to work effectively in a fast-paced, agile team environment.

Responsibilities

  • Develop and enhance functionalities within the GenAI-Perf, Triton Performance Analyzer, and Triton Model Analyzer tools.
  • Collaborate with researchers and engineers to understand their performance analysis needs and translate them into actionable features.
  • Collaborate closely with cross-functional teams including software engineers, system architects, and product managers.
  • Responsible for setting up, executing, and analyzing the performance of LLM, Generative AI, and deep learning models.
  • Develop and implement efficient algorithms for measuring deep learning throughput and latency, benchmarking large language models, and deploying models.
  • Integrate various tools to create a unified and user-friendly experience for deep learning performance analysis.
  • Automate testing processes to ensure the quality and stability of the tools.
  • Contribute to technical documentation and user guides.
  • Stay up-to-date on the latest advancements in deep learning performance analysis and LLM optimization techniques.

Application Instructions

Company Information

  • Company: NVIDIA
  • Industry: Technology (Computer Graphics, PC Gaming, Accelerated Computing, Artificial Intelligence)
  • Mission: To define the next era of computing through AI.
  • Culture: Remote-friendly, diverse, supportive, and focused on innovation.

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.

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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