Senior Software Engineer – Deep Learning and Computer Vision at NVIDIA

Pune, Maharashtra, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AI, MultimediaIndustries

Requirements

Hands on experience with building, training and optimizing neural networks with strong focus on video processing and 3D
Hands on expertise with one or more Deep Learning frameworks (Pytorch, Tensorflow, etc.)
Passion for optimizing network performance at kernel level for scalability across hardware
Experience in different learning techniques
Proficiency in Python programming & C/C++ programming
CUDA programming experience would be a plus
Familiarity with software lifecycle-based processes
Strong communication and analytical skills
Self-motivated, fast to act and eager to learn as well as guide
Bachelor/Master/PhD in Computer Science or Electronics or Electrical Engineering
5+ years of experience developing systems software on Windows or Linux

Responsibilities

Work alongside forward-thinking engineers on core technologies
Implement algorithms and optimize software to solve challenging computer vision and deep learning problems
Create features for state-of-the-art applications
Communicate with multiple teams in the company, as well as partners and customers
Take features through the whole cycle - from proof-of-concept to production

Skills

Computer Vision

Deep Learning

Neural Networks

Video Processing

PyTorch

TensorFlow

Python

C/C++

CUDA

Kernel Optimization

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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