Machine Learning Software Platform Architect

2 Months ago • 5 Years + • Artificial Intelligence • $148,000 PA - $356,500 PA

Job Summary

Job Description

NVIDIA seeks a Machine Learning Software Platform Architect to design, develop, and maintain infrastructure for large language model (LLM) applications in chip design. Responsibilities include developing LLM-based applications (e.g., QA bots, code generators), collaborating with hardware engineers and LLM research teams, optimizing infrastructure for performance and scalability, managing data securely, and staying current with AI trends. The role requires expertise in LLM infrastructure, Python, web development, chip design, and data management.
Must have:
  • 5+ years experience in AI/ML infrastructure
  • Proficiency in Python and web development
  • LLM expertise (Langchain, vector databases)
  • Understanding of chip design and data challenges
  • Data management skills (cleaning, transformation, storage)
Good to have:
  • Microservices development experience
  • Cloud/distributed infrastructure expertise
  • React or Vue.js front-end development
  • SQL & NoSQL database knowledge
Perks:
  • Highly competitive salary
  • Comprehensive benefits package
  • Equity

Job Details

Widely considered to be one of the technology world’s most desirable employers, NVIDIA is an industry leader with groundbreaking developments in High-Performance Computing, Artificial Intelligence and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is seeking a highly skilled and experienced Large Language Model (LLM) based Application Infrastructure engineer to join our growing team. The successful candidate will work at the intersection of GPU chip design and AI. You will be responsible for the design, development, and maintenance of the infrastructure around Nvidia's internal large language model aimed at facilitating chip design.

What you'll be doing:

  • Develop and maintain the infrastructure for managing large language models (LLMs) based application specifically adapted for the chip design and hardware domain.

  • Develop and maintain LLM based applications to serve hardware engineers, such as LLM based QA bot, code generator etc.

  • Collaborate with HW chip designers and LLM research teams to understand the specific needs and challenges of GPU design and ensure the LLM infrastructure is well-suited to these needs.

  • Collaborate with LLM research teams to collect & organize training / fine-tuning data to train hardware specific language model

  • Optimize the infrastructure for performance, scalability, and reliability, and ensure the secure and efficient management of data.

  • Stay updated with the latest industry trends in AI and machine learning, and continuously look for opportunities to apply these advancements to improve the LLM infrastructure.

What we need to see:

  • BS in computer science or related or equivalent experience

  • 5+ years experience

  • Experience in developing and maintaining AI or machine learning infrastructure, preferably in the context of large language models.

  • Strong proficiency in Python and web development, and familiarity with LLM related techniques e.g., langchain, vector database, prompt engineering, etc.

  • Understanding of chip design and related computational and data challenges.

  • Experience with data management, including doc cleaning, transformation, and secure storage.

  • Excellent problem-solving skills and the ability to work effectively in a team.

  • In depth understanding of Machine Learning / Deep Learning / NLP concepts.

Ways to stand out from the crowd:

  • You crafted & developed production quality microservices

  • Strong technical background in cloud/distributed infrastructure

  • An excellent plus if you are familiar with front-end development using React or Vue.js

  • Strong understanding of SQL & NoSQL Data platforms.

NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our exclusive engineering teams are rapidly growing. Are you a creative and passionate about applying Machine Learning to solve remarkably interesting problems? Are you interested in being involved in state-of-the-art development in the field of AI & love a challenge? If so, we want to hear from you!

The base salary range is 148,000 USD - 356,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Similar Jobs

Quizizz - Software Engineer - Frontend

Quizizz

Bengaluru, Karnataka, India (On-Site)
7 Months ago
Coherent Corp - Manufacturing Operator

Coherent Corp

Easton, Pennsylvania, United States (On-Site)
1 Week ago
GT - Full-stack Engineer (Python + React.js)

GT

Poland (Remote)
1 Month ago
Velsera - Technical Lead, Engineering

Velsera

Pune, Maharashtra, India (Hybrid)
6 Months ago
Syniverse - QA Automation Engineer

Syniverse

Bengaluru, Karnataka, India (Hybrid)
5 Months ago
Microsoft - Member of Technical Staff, AI - Reinforcement Learning Systems

Microsoft

Mountain View, California, United States (Hybrid)
2 Weeks ago
AI Fund - Head of Engineering

AI Fund

United States (Remote)
3 Weeks ago
Google - Staff Research Engineer, Applied ML

Google

London, England, United Kingdom (On-Site)
2 Weeks ago
Google - Software Engineer III, AI/ML, Cloud AI Infrastructure

Google

New Taipei, New Taipei City, Taiwan (On-Site)
2 Days ago
Google - Principal Staff Software Engineer, AI and Data Infrastructure

Google

London, England, United Kingdom (On-Site)
2 Days ago

Get notifed when new similar jobs are uploaded

Similar Skill Jobs

Auros Global - Web/UI Engineer

Auros Global

(Remote)
7 Hours ago
N-iX - Middle .NET Fullstack Engineer

N-iX

Poland (Hybrid)
2 Weeks ago
N-iX - Senior Fullstack .NET + React Engineer

N-iX

Colombia (Remote)
2 Weeks ago
Immutable - Senior Software Engineer

Immutable

Australia (Hybrid)
1 Month ago
Vimeo - Software Engineer III Full-stack (Backend heavy)

Vimeo

Bengaluru, Karnataka, India (On-Site)
1 Day ago
Auros Global - Web/UI Engineer - HFT/Crypto Options Trading

Auros Global

(Remote)
1 Month ago
N-iX - Middle .NET Fullstack Engineer

N-iX

Colombia (Remote)
2 Months ago
Ness Digital - Java & React Engineer II

Ness Digital

Timișoara, Timiș, Romania (Remote)
2 Months ago
Canva - Senior Frontend Engineer - Help Content and Findability

Canva

Sydney, New South Wales, Australia (Remote)
1 Month ago
Warner Bros Games - Senior Software Engineer - Fullstack (AdTech Team)

Warner Bros Games

Pune, Maharashtra, India (Hybrid)
1 Month ago

Get notifed when new similar jobs are uploaded

Jobs in Canada

Ubisoft - Associate Art Director [Rainbow Six Siege]

Ubisoft

Montreal, Quebec, Canada (On-Site)
3 Weeks ago
Epic Games - Senior Cinematic FX Artist

Epic Games

Montreal, Quebec, Canada (On-Site)
1 Month ago
Next Level Games - Senior Producer

Next Level Games

British Columbia, Canada (Hybrid)
4 Weeks ago
Epic Games - Principal Programmer, Horde

Epic Games

Montreal, Quebec, Canada (On-Site)
2 Months ago
Cadence - Software Engineer I

Cadence

Mount Royal, Quebec, Canada (On-Site)
4 Hours ago
Electronic Arts - Audio Artist III

Electronic Arts

Montreal, Quebec, Canada (On-Site)
23 Hours ago
Behaviour Interactive - Senior People & Culture Business Partner

Behaviour Interactive

Montreal, Quebec, Canada (Hybrid)
3 Months ago
Budge Studios - Coordonnateur(trice) de Production/Production Coordinator

Budge Studios

Montreal, Quebec, Canada (On-Site)
10 Months ago
Ubisoft - Game Director [Far Cry Project]

Ubisoft

Sherbrooke, Quebec, Canada (On-Site)
4 Weeks ago

Get notifed when new similar jobs are uploaded

Artificial Intelligence Jobs

NVIDIA - NIM Solution Architect

NVIDIA

Shanghai, Shanghai, China (On-Site)
1 Week ago
Google - Software Engineer III, Generative AI, MSCA

Google

Kirkland, Washington, United States (On-Site)
2 Days ago
Google - Software Engineer III, Machine Learning, Google Ads

Google

Los Angeles, California, United States (On-Site)
5 Months ago
Hedra - Senior Research Engineer

Hedra

New York, New York, United States (On-Site)
1 Month ago
Google - Applied ML Engineer for AICore

Google

Taipei City, Taiwan (On-Site)
2 Weeks ago
Corsair - Senior Manager, AI & Data

Corsair

Munich, Bavaria, Germany (On-Site)
1 Month ago
HP - Machine Learning Engineer

HP

Palo Alto, California, United States (On-Site)
7 Months ago
Scale AI - QA Engineer, Generative AI

Scale AI

Argentina (On-Site)
6 Months ago
ByteDance - Student Researcher (Doubao (Seed) - Foundation Model - Generative AI)

ByteDance

Seattle, Washington, United States (On-Site)
2 Weeks ago
Google - Senior Staff Software Engineer, Accelerators Systems Software Architect

Google

Sunnyvale, California, United States (On-Site)
2 Days ago

Get notifed when new similar jobs are uploaded

About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

Santa Clara, California, United States (On-Site)

Santa Clara, California, United States (On-Site)

Massachusetts, United States (On-Site)

Santa Clara, California, United States (On-Site)

Santa Clara, California, United States (On-Site)

Santa Clara, California, United States (On-Site)

Texas, United States (On-Site)

Santa Clara, California, United States (On-Site)

Santa Clara, California, United States (Hybrid)

Santa Clara, California, United States (Hybrid)

View All Jobs

Get notified when new jobs are added by NVIDIA

Level Up Your Career in Game Development!

Transform Your Passion into Profession with Our Comprehensive Courses for Aspiring Game Developers.

Job Common Plug