NVIDIA

Senior Deep Learning Algorithm Engineer

Santa Clara, California, United States

$184,000 – $356,500Compensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Computer Hardware, Software Development, Artificial IntelligenceIndustries

Job Description

Position Overview

  • Location Type: [Not Specified]
  • Employment Type: Full-time
  • Salary: $184,000 - $356,500 USD (Base Salary Range)

NVIDIA is seeking outstanding engineers to join their team and shape the future of LLM inference. The team focuses on improving the algorithmic performance and efficiency of LLM systems, developing new inference algorithms, improving existing models, and ensuring NVIDIA’s solutions can efficiently handle large-scale, sophisticated tasks.

Requirements

  • Education: BS, MS, or PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related field (or equivalent experience).
  • Experience: 8+ years of experience in deep learning and deep learning systems design.
  • Programming Skills: Proficiency in Python and C++ programming.
  • Technical Knowledge: Strong understanding of computer architecture, GPU/parallel datacenter computing fundamentals.
  • Interest: Proven interest in analyzing, modeling, and tuning application performance.

Responsibilities

  • Research and Development: Explore and incorporate contemporary research on generative AI, agents, and inference systems into the NVIDIA LLM software stack.
  • Workload Analysis and Optimization: Conduct in-depth analysis, profiling, and optimization of agentic LLM workloads to reduce request latency and increase request throughput while maintaining workflow fidelity.
  • System Design and Implementation: Design and implement scalable systems to accelerate agentic workflows and efficiently handle sophisticated datacenter-scale use cases.
  • Collaboration and Communication: Advise future iterations of NVIDIA software, hardware, and system by engaging with diverse teams at NVIDIA and external partners, formalizing strategic requirements.

Application Instructions

  • [Not Specified - Please refer to NVIDIA's career website for application instructions.]

Company Information

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. They are at the forefront of large language models and AI, defining the next era of computing with GPUs acting as the brains of computers, robots, and self-driving cars. The base salary range is $184,000 - $356,500 USD, determined by location, experience, and the pay of similar employees.

Skills

Deep Learning
LLM inference
Python
C++
Computer Architecture
GPU computing
Parallel computing
Performance tuning
Generative AI
Agentic workflows

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.

Land your dream remote job 3x faster with AI