NVIDIA

Principal Engineer

California, United States

Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Semiconductors & Hardware, Artificial Intelligence, AI & Machine LearningIndustries

Position Overview

  • Location Type: Hybrid
  • Job Type: Full time
  • Salary: Not specified

NVIDIA is seeking a Principal Research Engineer focused on Generative AI inference. This role involves contributing to the development of optimized inferencing technologies to support NVIDIA’s growing generative AI needs. The team focuses on all steps of the machine learning lifecycle, from conceptualization to deployment. You will interact with internal partners, users, and the open-source community to define, analyze, and implement highly optimized algorithms for various AI applications, including speech recognition, natural language understanding, image generation, and speech synthesis.

Requirements

  • Experience: 12+ years industry experience in Deep Learning frameworks (PyTorch or TensorFlow).
  • Technical Skills:
    • Strong understanding of modern techniques in Machine Learning, Deep Neural Networks, Natural Language Processing, or Speech Recognition.
    • Proficiency in C++, CUDA, and Python.
    • Experience with GPU programming (CUDA).
    • Strong computer science fundamentals - algorithms and data structures, computational complexity, parallel and distributed computing, system software.
  • Communication & Collaboration:
    • Excellent communication and interpersonal skills.
    • Ability to work effectively in a dynamic and distributed team environment.
    • Desire to mentor junior engineers and interns (a plus).

Responsibilities

  • Developing new models and algorithms in Speech Recognition, Speech Synthesis, Natural Language Processing, and Deep Learning.
  • Architecting and implementing features in C++, CUDA, and Python.
  • Demonstrating good engineering practices and mentoring other team members.
  • Working with engineering teams across NVIDIA to ensure seamless integration of software within the NVIDIA accelerated serving stack.
  • Analyzing functionality coverage and defining APIs.
  • Contributing to open-source projects.

Application Instructions

  • Not specified in the provided text.

Company Information

NVIDIA offers competitive salaries and a generous benefits package. It is considered one of the technology world’s most desirable employers, with forward-thinking and hardworking people. The engineering teams are rapidly growing due to unprecedented growth.

Skills

Deep Learning frameworks (PyTorch, TensorFlow)
Machine Learning
Deep Neural Networks
Natural Language Processing
Speech Recognition
C++
CUDA
Python
Algorithms
Data Structures
Parallel Computing
Distributed Computing
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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