Full-Time

Senior Compiler Engineer

Software, Deep Learning Accelerator

Confirmed live in the last 24 hours

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

Automotive & Transportation
Enterprise Software
AI & Machine Learning
Gaming

Compensation Overview

$184k - $356.5kAnnually

+ Equity

Senior, Expert

Company Historically Provides H1B Sponsorship

Santa Clara, CA, USA

Category
Deep Learning
AI Research
AI & Machine Learning
Software Engineering
Required Skills
Neural Networks
C/C++

You match the following NVIDIA's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • Bachelor of Science or Master of Science degree in Computer Science, Electrical Engineering, or related field (or equivalent experience)
  • 7+ years of experience developing and leading complex deep learning or compiler software projects
  • Strong interpersonal, verbal, and written communications skills with a capability to achieve objectives under tight deadlines
  • Experience designing, developing, and maintaining complex software stacks
  • Strong C and C++ programming skills with experience working with large codebases
  • Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects
  • Strong teamwork, interpersonal, and problem solving skills
Responsibilities
  • Design and maintain the Deep Learning Accelerator compiler for next generation NVIDIA hardware
  • Develop advanced techniques for optimizing neural networks
  • Collaborate with members of hardware architecture teams
  • Design and maintain performance and precision modeling
Desired Qualifications
  • Experience with deep learning software packages, such as ONNX, PyTorch, and TensorFlow
  • Designing and implementing drivers programming rich HW acceleration engines and software verification testplans

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). These products help developers, data scientists, and IT administrators perform complex tasks efficiently. NVIDIA differentiates itself from competitors by focusing on technological advancements and a diverse range of applications, including cloud-based services like NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. The company's goal is to drive innovation in computing and provide effective solutions for a wide array of clients, from gamers to enterprises.

Company Stage

IPO

Total Funding

$19.5M

Headquarters

Santa Clara, California

Founded

1993

Growth & Insights
Headcount

6 month growth

0%

1 year growth

0%

2 year growth

-1%
Simplify Jobs

Simplify's Take

What believers are saying

  • Acquisition of VinBrain enhances NVIDIA's AI-driven healthcare solutions.
  • Investment in Nebius Group boosts NVIDIA's AI infrastructure capabilities.
  • Partnership with Serve Robotics aligns with NVIDIA's focus on robotics and AI applications.

What critics are saying

  • Increased competition from AI startups like xAI challenges NVIDIA's market position.
  • Serve Robotics' rapid expansion may lead to financial strain if market growth lags.
  • Integration challenges from VinBrain acquisition may affect NVIDIA's operational efficiency.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
  • The Omniverse platform enhances NVIDIA's capabilities in industrial AI and digital twins.
  • NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

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Benefits

Company Equity

401(k) Company Match