Full-Time

Senior Software Engineer

Deep Learning Inference, Tensorrt

Posted on 1/7/2025

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

Automotive & Transportation
Enterprise Software
AI & Machine Learning
Gaming

Compensation Overview

$148k - $287.5kAnnually

+ Equity

Senior

Company Historically Provides H1B Sponsorship

Santa Clara, CA, USA

Hybrid position requiring some in-office days.

Category
Applied Machine Learning
Deep Learning
AI & Machine Learning
Software Engineering
Required Skills
Python
Data Structures & Algorithms
Machine Learning
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
  • A Bachelor's, Master's, PhD or equivalent experience in Computer Science, Computer Engineering, Electrical Engineering or related field.
  • 3+ years of software development experience.
  • Strong experience with C++11/C++14/C++17.
  • Strong grasp of Machine Learning concepts.
  • Experience and knowledge in Computer Architecture, Data Structures, Algorithms.
  • Excellent communication skills, and an aptitude for collaboration and teamwork.
Responsibilities
  • Develop components of TensorRT, NVIDIA’s SDK for high-performance deep learning inference.
  • Use C++ and Python to build graph parsers, optimizers, and tools for effective deployment of trained deep learning models.
  • Collaborate with teams of deep learning experts, GPU architects and DevOps engineers across diverse teams.
Desired Qualifications
  • Experience developing System Software.
  • Proficiency in Python as well as Background in GPU kernel programming using CUDA or OpenCL.
  • Experience in software performance benchmarking, profiling, and optimizations.
  • Background in compiler development.
  • Experience in working with TensorRT, PyTorch, TensorFlow, ONNX Runtime or other ML frameworks.

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 hardware sales, software licenses, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance applications in AI, machine learning, and computer vision. Unlike many competitors, NVIDIA focuses heavily on research and development to maintain its leadership in technology and innovation. The company's goal is to drive advancements in AI and computing to provide effective solutions for a wide range 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

INACTIVE