Senior System Software Engineer, Metropolis AI Workflow at NVIDIA

Pune, Maharashtra, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Technology, Computer VisionIndustries

Requirements

B.Tech./B.E., M.Tech., or PhD in CS/CE/Electronics degree preferred or equivalent experience
5+ years of software development experience on Linux
Complex system design and development using Python, C++ 14/17/20, and object-oriented programming
Background in computer vision, machine learning, and deep learning technologies
Strong analytical skills and proven success in problem-solving and achieving performance objectives
Passion for expanding technical knowledge into new areas
Ability to excel in a multinational, multi-time-zone environment: excellent communication skills (verbal & written), collaborates well, represents core values
Experience with cloud native architecture involving Docker, K8s, microservices

Responsibilities

Design and develop accelerated streaming AI pipelines using CV and VLM models and lead technical design discussions
Evaluate and test the AI pipelines using Omniverse-based simulation, digital twin, and synthetic dataset for qualitative and quantitative analysis
Profile and optimize the AI pipelines to ensure scalability, reliability, and efficiency
Take on complex system-level optimization and resource utilization challenges
Participate in a product development lifecycle that values high standards for clear requirements, software quality, and performance
Write code in Python and C++

Skills

Python

C++

Deep Learning

Computer Vision

Vision Language Models

Omniverse

AI Pipelines

GPU Acceleration

Optimization

Simulation

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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