NVIDIA Corporation

Solutions Architect, Inference Deployments

NVIDIA Corporation$152K — $287K *
Technical Services
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years in Solutions Architecture with experience in deploying AI inference on Kubernetes.
  • Expertise in GPU orchestration and optimization using NVIDIA tools.
  • Proficiency in TensorRT, TensorRT-LLM, and Triton for model serving.
  • Demonstrated success in optimizing large language models for low-latency inference.
  • Bachelor's degree or equivalent experience in Computer Science or Engineering.

Responsibilities

  • Help customers design and maintain scalable, GPU-accelerated inference pipelines for AI applications.
  • Optimize performance using NVIDIA technology to enhance GPU utilization.
  • Work with multi-functional teams to provide technical guidance on AI implementation.
  • Architect solutions for zero-downtime deployments and autoscaling in cloud environments.

Benefits

  • Equity participation opportunities.
  • Eligibility for a variety of comprehensive benefits, including health and wellness programs.
  • Commitment to diversity and equal opportunity in the workplace.
Full Job Description
We're forming a team of innovators to roll out and enhance AI inference solutions at scale, demonstrating NVIDIA's GPU technology and Kubernetes. As a Solutions Architect focused on inference, you'll collaborate closely with our engineering, DevOps, and customers to develop enterprise AI solutions. Together, we'll deliver generative AI to production!

What you'll be doing:
  • Build inference pipelines with tools like NVIDIA Dynamo, distributing tasks among GPU workers to improve efficiency.
  • Collaborate with DevOps teams to orchestrate disaggregated inference using Kubernetes for complex workloads.
  • Accelerate inference pipelines using TensorRT-LLM, vLLM, SGLang, and other backends to ensure seamless integration with disaggregated inference.
  • Provide mentorship and technical leadership to customers and internal teams, guiding them through the deployment of disaggregated inference systems and resolving complex issues.


What we need to see:
  • 5+ Years in Solutions Architecture with a proven track record of deploying distributed systems and AI inference workloads on Kubernetes.
  • Experience with one of NVIDIA Dynamo, Triton Inference Server, or TensorRT-LLM for model optimization and serving.
  • GPU orchestration using NVIDIA GPU Operator, NIM Operator, and Multi-Instance GPU (MIG) partitioning.
  • Solving sophisticated GPU allocation, memory hierarchies (HBM, DRAM, SSD), and low-latency networking (RDMA, UCX).
  • Demonstrated success in tuning large language models for low-latency inference in enterprise environments.
  • BS in CS/Engineering or equivalent experience.


Ways to stand out from the crowd:
  • Prior experience deploying NVIDIA inference technologies such as Dynamo, NIM, NIXL and Grove.
  • Deep understanding of transformer neural network, and inference acceleration technologies like quantization, speculative decoding, WideEP etc.
  • NVIDIA Certified AI Engineer or similar credentials.
  • Contributions to open-source projects including NVIDIA Dynamo, vLLM, KServe, or SGLang.


Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 19, 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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