NVIDIA Corporation

Senior Solutions Architect, Robotics Foundation Model Training

NVIDIA Corporation • $152K — $287K *
US-AnywhereRemote in Santa Clara, CA
Technical Services
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • MS, PhD, or equivalent experience in Computer Science, AI, Electrical Engineering, or Robotics.
  • 5+ years of industry/research experience in deep learning or large-scale model training.
  • Hands-on experience with multimodal or foundation model training, especially in robotics contexts.
  • Knowledge of the AI model lifecycle including pre-training and optimization techniques.
  • Proficiency in distributed training techniques on multi-GPU or multi-node systems.
  • Expertise in frameworks like PyTorch, NVIDIA NeMo, JAX, or Hugging Face Transformers.
  • Experience building high-throughput data pipelines for large-scale training.

Responsibilities

  • Engage with Researchers and ML engineers to optimize training workflows for robotics models.
  • Build proof-of-concepts and reference architectures for NVIDIA's Robotics platforms.
  • Scale training workloads across multi-GPU and multi-node systems.
  • Eliminate data pipeline bottlenecks for multimodal datasets.
  • Collaborate to influence future Physical AI platform development.

Benefits

  • Equity opportunities for employees.
  • Access to cutting-edge AI tools in recruitment processes.
Full Job Description
We are looking for a hands-on Applied Engineer with deep expertise in training foundation models at scale and a strong background in robotics. This role operates at the intersection of innovative AI research, accelerated computing and real-world applications, offering a unique opportunity to work directly with model builders to scale cutting edge Robotics Models from experimentation to production. Collaboration spans research, engineering, and customer teams, influencing both product direction and applied AI adoption. Come join us and help shape the future of robotics foundation model training!

What You'll Be Doing:
  • Engage with Researchers and ML engineers to architect and optimize end-to-end training workflows for robotics foundation models, like World Models, VLAs, WAMs.
  • Build proof-of-concepts, reference architectures, and agentic workflows that accelerate experimentation, benchmarking, and model improvement of NVIDIA's Robotics Open model platforms like Cosmos and GR00T.
  • Scale pre-training, fine-tuning, and reinforcement learning workloads across multi-GPU and multi-node systems, improving utilization, throughput, and memory efficiency.
  • Identify and eliminate data pipeline bottlenecks across storage, networking, preprocessing, and data loading for multimodal datasets (video, sensor data, trajectories).
  • Collaborate with NVIDIA product and engineering teams to provide feedback that shapes future Physical AI platforms


What We Need to See:
  • MS, PhD, or equivalent experience in Computer Science, Artificial Intelligence, Electrical or Computer Engineering, Robotics, or a related field.
  • 5+ years of industry or research experience in deep learning, distributed computing, or large-scale model training.
  • Hands-on experience training or optimizing multimodal or foundation models (e.g., VLMs, VLAs, World Models), ideally in robotics settings.
  • Experience across the AI model lifecycle, including pre-training, supervised fine-tuning, RL or other post-training methods, evaluation, and model optimization.
  • Strong expertise in distributed training techniques (data/model/pipeline parallelism, sharding, check-pointing) on multi-GPU or multi-node systems.
  • Expertise with multimodal training frameworks such as PyTorch, NVIDIA NeMo, JAX, or Hugging Face Transformers.
  • Experience building or working with high-throughput data pipelines for large-scale training, including storage bandwidth, network throughput, and preprocessing (e.g., decoding, tokenization, batching)
  • Strong communication skills with the ability to effectively collaborate across Researchers, Engineers and executives.


Ways to Stand Out From the Crowd:
  • Familiarity with NVIDIA AI and robotics platforms (e.g., Cosmos, GR00T, NeMo, Isaac Sim, Isaac Lab)
  • Experience with robotics AI workloads, including reinforcement learning in simulation and synthetic data generation.
  • Experience profiling and optimizing workloads using tools such as Nsight Systems, Nsight Compute, or PyTorch Profiler
  • Demonstrated impact improving training efficiency and scaling performance
  • Experience building agentic workflows for automated experimentation, model evaluation, data analysis, or research acceleration


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 August 31, 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
Manufacturing & Automotive
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ
NVDA
* Ladders Estimates

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