NVIDIA Corporation

Senior Software Engineer, Spatial Intelligence and Foundation Models

NVIDIA Corporation$184K — $356K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • PhD or Master's degree in Computer Science, Robotics, or equivalent experience.
  • 8+ years of experience in computer vision, robotics, or deep learning technologies.
  • Strong foundation in 3D geometric computer vision and relevant technologies.
  • Proficient in Python and/or C++ with experience in Deep Learning frameworks (PyTorch, JAX, TensorFlow).
  • Experience with training/evaluating deep learning models for perception tasks, vision-language models is a plus.
  • Proficiency with AI coding agents and workflows to enhance development efficiency.
  • Excellent communication and organizational skills.

Responsibilities

  • Design and deploy algorithms for spatial understanding in robotics.
  • Develop robust perception, mapping, and reasoning systems for real and simulated robots.
  • Advance geometric computer vision using both classical and deep learning methods.
  • Train and assess vision-language models for robotics applications.
  • Collaborate with cross-functional teams on integrating and validating robotic capabilities.
  • Support innovation culture by contributing to prototypes and open source projects.
  • Work with product and hardware teams to ensure engineering solutions impact product design.

Benefits

  • Equity participation opportunities.
  • Access to advanced NVIDIA robotics platforms.
  • Collaborative work environment fostering innovation.
  • Support for publications and patents related to research contributions.
Full Job Description
NVIDIA is seeking a Software Engineer to join our Isaac Spatial Intelligence team within the Isaac Engineering org! You will join a group of world-class robotics software and applied research engineers focused on geometric and semantic understanding, and reasoning for robots - building the perception systems that turn raw sensor data into actionable world understanding, shaping the future of physical AI!

What you'll be doing:
  • Design, implement, and deploy novel algorithms for spatial understanding, working on problems ranging from SLAM, structure-from-motion, optical flow, scene flow, and object reconstruction to training VLMs on a wide range of spatial reasoning skills.
  • Develop robust perception, mapping, and reasoning systems that run on robots, in simulation, and at scale in data pipelines for training foundation models.
  • Advance the state of the art in geometric computer vision, combining classical multi-view geometry and optimization with modern deep learning approaches.
  • Train and evaluate vision-language models on skills relevant to robotics.
  • Work closely with the Cosmos and GR00T teams on perception and spatial understanding for foundation models and collaborate with other Isaac teams including Sim/Lab, Platform and SQA to deploy, validate, extend and release capabilities & features on physical robots as well as in at-scale simulations.
  • Contribute to the effective integration, validation, and release of applied research efforts in collaboration with research teams and on top of NVIDIA's advanced robotics platforms.
  • Foster a culture of innovation and collaboration, supporting deliverables such as prototypes, open source software contributions, patents, and publications.
  • Collaborate cross-functionally with product, hardware, and software teams to translate engineering work into impactful products.


What we need to see:
  • PhD or Master's degree in Computer Science, Robotics, or a related field (or equivalent experience).
  • 8+ years of experience working on computer vision, robotics, or deep learning technologies.
  • Strong foundation in 3D geometric computer vision: multi-view geometry, visual odometry/SLAM, structure-from-motion, or dense correspondence (optical flow, scene flow, stereo).
  • Strong hands-on programming skills in Python and/or C++; experience with Deep Learning frameworks (PyTorch, JAX, TensorFlow).
  • Experience training and evaluating deep learning models for perception tasks; familiarity with vision-language models is a strong plus.
  • Strong skills in agentic tool use - proficiency working with AI coding agents and agentic workflows (e.g., Claude Code, Cursor, Codex) to accelerate development, testing, and experimentation.
  • Excellent communication, organizational, and interpersonal skills.


Ways to stand out from the crowd:
  • Contributions to widely used SLAM, SfM, or 3D reconstruction systems (open source or shipped products).
  • Experience with large-scale model training on GPU clusters, including VLMs or other foundation models.
  • Publications at top computer vision or robotics venues (CVPR, ICCV, ECCV, ICRA, IROS, RSS, CoRL).
  • Hands-on experience with simulation-based training and evaluation, sim-to-real and real-to-sim transfer.


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 for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 20, 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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