Senior Software Engineer - Computer Vision and VLM Deep Learning
Content + Source + Freshness • 13 Dec 2025 • 95% confidence
Offer value
Very high value due to the cutting-edge AI focus, substantial employer brand, and potential for groundbreaking work in robotics.
- Leading role in AI and robotics innovation.
- Advanced research opportunities in a desirable employer.
- High potential for career advancement.
Pros
- Work at the forefront of AI and robotics.
- Opportunity to influence the development of humanoid robots.
- Strong emphasis on research and innovative thinking.
Cons
- Requires advanced qualifications and specific knowledge.
- High expectations for output and research impact.
- Potentially limited positions due to specialized focus.
Who it's for
Senior / Expert • On-site or hybrid
Good fit
- Deep learning and robotics experts.
- Candidates eager to work on revolutionary projects.
- Professionals seeking impactful research roles.
Not recommended for
- New professionals without relevant experience.
- Those uninterested in a technical or research-oriented setting.
- Candidates preferring non-AI related fields.
Motivation fit
Key skills
About the job
We are in the midst of a revolution where artificial intelligence is helping us accelerate all aspects of our lives. NVIDIA's mission is to accelerate this revolution. By combining NVIDIA's strengths in simulation (Omniverse), world models (Cosmos), foundation models (GR00T), and compute, we strive to bring general intelligence to humanoid robots. The Isaac team is looking for a robotics deep learning expert to help with this revolution. In this role, you will be working on imbuing humanoid robots with geometric awareness, semantic understanding, and natural language intelligence. Come join us to push the boundaries of robotics and enable the next generation of robotics!
What you’ll be doing:
Conduct applied research and design innovative algorithms in the space of geometric computer vision and video/vision-language models.
Deploy algorithms on real humanoid robots to gauge sim-to-real transfer of models.
Work hand-in-hand across multiple engineering and research teams to enable foundation models on humanoid robots.
Constantly learn and explore unfamiliar technologies.
What We Need To See:
Masters in Computer Science, Robotics, Deep Learning, or other related fields (or equivalent experience).
8+ years of algorithm development/research experience and relevant work/research experience in one or many of the following areas: Geometric computer vision models, semantic understanding models, vision-language models, foundation models, 3D-LLMs, video generative models, or diffusion algorithms.
Hands-on experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and proficiency in modern software development practices (version control, testing, CI/CD).
Excellent communication skills and the ability to collaborate efficiently in a cross-functional, distributed team environment.
Proficient in C++ and Python.
You have a thirst and ability to learn and adapt to new technologies.
Ways To Stand Out From The Crowd:
Ph.D. in Computer Science, Robotics, Deep Learning, or other related fields.
Publications in top-tier AI conferences or contributions to open-source projects.
Hands-on experience with running algorithms on real-world robotic systems.
Experience with vision-language-action models.
With a competitive salary package and benefits, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous GenAI Engineer, who loves challenges? Do you have a genuine passion for advancing the state of AI & machine learning across a variety of industries? If so, we want to hear from you!
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 October 25, 2025.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.
