Senior AI and ML Engineer at NVIDIA

Pune, Maharashtra, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial IntelligenceIndustries

Requirements

BE (MS preferred) or equivalent experience in EE/CS with 5+ years of work experience
Well versed with Large Language Models (LLM), Machine Learning (ML), Agentic AI techniques
Hands-on experience in leveraging large language models (LLMs) and implementing agentic AI for various workflows
Expert programming ability in Python, Go or Java
Experience in working with SQL/NoSQL database systems such as MySQL, MongoDB or Elasticsearch
Good understanding of distributed systems, understanding of microservice architecture and REST APIs
Excellent knowledge and working experience with Docker containers
Consistent track record in developing large scale distributed applications
Ability to effectively work across organizational boundaries to enhance alignment and productivity between teams

Responsibilities

Building industry insights into AI tools and technologies
Collaborating with AI product vendors
Evaluating AI based product features
Accelerating the evaluation of AI tools by developing robust testing environments, with a strong focus on efficiency, quality metrics, and functionality requirement coverage
Designing and implementing tools and software solutions that leverage Large Language Models and agentic AI to automate workflows and enhance the productivity of engineers across software development, DevOps, and Site Reliability Engineering (SRE) activities
Implementing AI/ML use cases to improve efficiency in software development, DevOps and SRE workflows
Working with software architects and developers in internal and external development teams

Skills

Key technologies and capabilities for this role

AIMachine LearningLarge Language Modelsagentic AIDevOpsSRECloud ServicesTesting EnvironmentsLinuxWindowsAndroidGPUsAutomationInfrastructure

Questions & Answers

Common questions about this position

What is the salary for this Senior AI and ML Engineer position?

This information is not specified in the job description.

Is this role remote or does it require working from an office?

This information is not specified in the job description.

What skills are required for this Senior AI and ML Engineer role?

Required skills include expertise in Large Language Models (LLM), Machine Learning (ML), and Agentic AI; expert programming in Python, Go or Java; experience with SQL/NoSQL databases like MySQL, MongoDB or Elasticsearch; and knowledge of distributed systems, microservices, REST APIs, and Docker containers.

What is the company culture like in NVIDIA's IPP team?

The IPP team is a global organization that is fun-loving, passionate about infrastructure, and focused on solving complex meaningful issues while building next-generation cloud services.

What makes a strong candidate for this position?

A strong candidate has a BE (MS preferred) in EE/CS or equivalent with 5+ years of experience, hands-on expertise in LLMs, ML, and Agentic AI, expert programming skills, and a track record in large-scale distributed applications.

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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