NVIDIA Corporation

Senior Solutions Architect, Generative AI Deployment and AIOps

NVIDIA Corporation$184K — $287K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • BS, MS, or PhD in a relevant field or equivalent experience
  • 8+ years of hands-on experience with Deep Learning frameworks like PyTorch and TensorFlow
  • Strong programming fundamentals, particularly in Python
  • Proficient in GPU orchestration and Multi-Instance GPU management within Kubernetes
  • Experienced with containerization and orchestration technologies
  • In-depth understanding of LLM and DL inference theory and practice
  • Strong communication and collaboration skills

Responsibilities

  • Collaborate with engineering, product, and business teams to define solutions based on technical needs
  • Engage dynamically with developers and researchers to enhance technical expertise
  • Partner with key customers to deliver tailored solutions using NVIDIA technology
  • Assist customers in adopting AI solutions and MLOps practices
  • Analyze AI inference workload performance and efficiency on Kubernetes
  • Possibility of travel for customer engagements and conferences (20%)

Benefits

  • Opportunity to work with cutting-edge Generative AI and LLM projects
  • Collaborative interdisciplinary team environment
  • Exposure to a range of technical areas and scientific domains
  • Involvement in performance analysis and modeling of AI software
  • Potential travel opportunities to conferences and customer sites
Full Job Description
You will become a trusted technical advisor with our customers and work on exciting projects and proof-of-concepts focused on inference for Generative AI and Large Language Models (LLMs). You will also collaborate with a diverse set of internal teams on performance analysis and modeling of inference software. You should be comfortable working in a dynamic environment, and have experience with Generative AI, LLMs and GPU technologies. This role is an excellent opportunity to work in an interdisciplinary team at NVIDIA!

What You Will Be Doing:
  • Partnering with other solution architects, engineering, product and business teams. Understanding their strategies and technical needs and helping define high-value solutions
  • Dynamically engaging with developers, scientific researchers, and data scientists, gaining experience across a range of technical areas
  • Strategically partnering with lighthouse customers and industry-specific solution partners targeting our computing platform
  • Working closely with customers to help them adopt and build creative solutions using NVIDIA technology and MLOps solutions
  • Analyzing performance and power efficiency of AI inference workloads on Kubernetes
  • Some travel to conferences and customers may be required (20%)


What We Need To See:
  • BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)
  • 8+ years of hands-on experience with Deep Learning frameworks such as PyTorch and TensorFlow
  • Strong fundamentals in programming, optimizations, and software design, especially in Python
  • Proficiency in problem-solving and debugging skills in GPU orchestration and Multi-Instance GPU (MIG) management within Kubernetes environments
  • Experience with containerization and orchestration technologies, monitoring, and observability solutions for AI deployments
  • Excellent knowledge of the theory and practice of LLM and DL inference
  • Excellent presentation, communication and collaboration skills


Ways To Stand Out From The Crowd:
  • Prior experience with DL training at scale, deploying or optimizing DL inference in production
  • Experience with NVIDIA GPUs and software libraries such as NVIDIA NIM, Dynamo, TensorRT, TensorRT-LLM
  • Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design
  • Familiarity with parallel programming and distributed computing platforms

#NALASAHiring

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 1, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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