... machine learning/AI systems and compute infrastructure. Robotics * Hands-on training experience and ... NVIDIA is widely considered to be one of the technology world's most desirable employers. We have ...
... machine learning/AI systems and compute infrastructure. Robotics * Hands-on training experience and ... NVIDIA is widely considered to be one of the technology world's most desirable employers. We have ...
Research Scientist, Generalist Embodied Agent Research - PhD New College Grad 2026
Santa Clara, CA · On-site
... machine learning/AI systems and compute infrastructure. Robotics * Hands-on training experience and ... NVIDIA is widely considered to be one of the technology world's most desirable employers. We have ...
Research Scientist, Generalist Embodied Agent Research - PhD New College Grad 2026
Santa Clara, CA · On-site
... machine learning/AI systems and compute infrastructure. Robotics * Hands-on training experience and ... NVIDIA is widely considered to be one of the technology world's most desirable employers. We have ...
Machine Learning
San Francisco, CA · On-site
$200 - $250/hr
Experience building and deploying production machine learning models. Strong communication and collaboration skills. * A passion for learning and growing your skills. Why This Remote Job is for You:
Machine Learning
San Francisco, CA · On-site
$200 - $250/hr
Experience building and deploying production machine learning models. Strong communication and collaboration skills. * A passion for learning and growing your skills. Why This Remote Job is for You:
NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI ... Course or internship experience related to the following areas could be required: Deep Neural ...
NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI ... Course or internship experience related to the following areas could be required: Deep Neural ...
They are seeking a Machine Learning Research Scientist to develop autonomous research systems and ... experience at corporate AI research labs (Microsoft, Google, Nvidia, TRI etc). • Technical:
They are seeking a Machine Learning Research Scientist to develop autonomous research systems and ... experience at corporate AI research labs (Microsoft, Google, Nvidia, TRI etc). • Technical:
Machine Learning Research Scientist
San Mateo, CA · On-site
$100 - $150/hr
... industry experience at corporate AI research labs (Microsoft, Google, Nvidia, TRI, etc ... Expertise in training machine learning models, including deep learning, reinforcement learning or ...
Machine Learning Research Scientist
San Mateo, CA · On-site
$100 - $150/hr
... industry experience at corporate AI research labs (Microsoft, Google, Nvidia, TRI, etc ... Expertise in training machine learning models, including deep learning, reinforcement learning or ...
... experience at corporate AI research labs (Microsoft, Google, Nvidia, TRI etc). * Technical ... Expertise in training machine learning models, including deep learning, reinforcement learning or ...
Quick apply
... experience at corporate AI research labs (Microsoft, Google, Nvidia, TRI etc). * Technical ... Expertise in training machine learning models, including deep learning, reinforcement learning or ...
Machine Learning Engineer, AI Safety
Santa Clara, CA · On-site
$124 - $196/hr
We are looking for a talented Machine Learning Engineer to work on Product Security, Content Safety ... experience. With highly competitive salaries and a comprehensive benefits package, Nvidia is widely ...
Machine Learning Engineer, AI Safety
Santa Clara, CA · On-site
$124 - $196/hr
We are looking for a talented Machine Learning Engineer to work on Product Security, Content Safety ... experience. With highly competitive salaries and a comprehensive benefits package, Nvidia is widely ...
Experience with high throughput services particularly at supercomputing scale. Proficient with ... Familiarity with Nvidia TensorRT-LLM, vLLLM, DeepSpeed, Nvidia Triton Server etc.
Experience with high throughput services particularly at supercomputing scale. Proficient with ... Familiarity with Nvidia TensorRT-LLM, vLLLM, DeepSpeed, Nvidia Triton Server etc.
3D Machine Learning Engineer
$150K - $200K/yr
What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ... We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA ...
3D Machine Learning Engineer
$150K - $200K/yr
What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ... We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA ...
3D Machine Learning Engineer
Irvine, CA · On-site
$150K - $200K/yr
What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ... We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA ...
3D Machine Learning Engineer
Irvine, CA · On-site
$150K - $200K/yr
What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ... We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA ...
What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ... We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA ...
Quick apply
What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ... We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA ...
The Machine Learning Engineer will develop solutions for machine learning and computer vision ... NVIDIA Jetson. • Experience prototyping, evaluating, or deploying new ML/CV models on the edge.
The Machine Learning Engineer will develop solutions for machine learning and computer vision ... NVIDIA Jetson. • Experience prototyping, evaluating, or deploying new ML/CV models on the edge.
... no experience required with an advance degree (MS or PhD) * Strong foundation in supervised and unsupervised learning and statistical modeling. * Experience with Python ML frameworks (e.g ...
... no experience required with an advance degree (MS or PhD) * Strong foundation in supervised and unsupervised learning and statistical modeling. * Experience with Python ML frameworks (e.g ...
They are seeking a Founding GPU Kernel Engineer who will optimize GPU kernels for machine learning ... experience (NVIDIA, AMD, or other accelerators) • Experience with MLIR, LLVM, or compiler ...
They are seeking a Founding GPU Kernel Engineer who will optimize GPU kernels for machine learning ... experience (NVIDIA, AMD, or other accelerators) • Experience with MLIR, LLVM, or compiler ...
... Ansible) Machine Learning Operations * Deep Learning, GPU Computing, Accelerated Computing ... Depending on the internship role, prior experience or knowledge requirements could include the ...
... Ansible) Machine Learning Operations * Deep Learning, GPU Computing, Accelerated Computing ... Depending on the internship role, prior experience or knowledge requirements could include the ...
Professional Experience - Minimum * 3 years of experience in software engineering, including experience with Machine Learning (ML) models, ML infrastructure, Natural Language Processing or Computer ...
Quick apply
Professional Experience - Minimum * 3 years of experience in software engineering, including experience with Machine Learning (ML) models, ML infrastructure, Natural Language Processing or Computer ...
Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For ... Prior experience in Applied Math/ML/Software programming with proven ability in writing code in ...
Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For ... Prior experience in Applied Math/ML/Software programming with proven ability in writing code in ...
At NVIDIA, we are a "learning machine" that evolves by seizing new opportunities and tackling ... Experience with spice simulation for noise analysis, loop stability analysis, ac/dc/transient ...
At NVIDIA, we are a "learning machine" that evolves by seizing new opportunities and tackling ... Experience with spice simulation for noise analysis, loop stability analysis, ac/dc/transient ...
... out if your experience fits one of our many internship opportunities. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is ...
... out if your experience fits one of our many internship opportunities. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is ...
No Experience Nvidia Machine Learning information
What is the difference between No Experience Nvidia Machine Learning vs Data Analyst?
| Aspect | No Experience Nvidia Machine Learning | Data Analyst |
|---|---|---|
| Required Credentials | Basic understanding of machine learning concepts, no certifications needed | Degree in statistics, mathematics, or related field; certifications optional |
| Work Environment | Tech companies, AI research labs, or startups focusing on AI/ML projects | Business, finance, healthcare, or marketing sectors analyzing data for insights |
| Employer & Industry Usage | Used in AI/ML development teams, often entry-level roles in tech industry | Used across various industries for data-driven decision making |
While No Experience Nvidia Machine Learning roles focus on entry-level understanding of AI and machine learning with minimal credentials, Data Analyst positions emphasize data interpretation skills often requiring a degree. Both roles are prevalent in tech and business sectors, but they serve different functions: AI development versus data insights.
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For No Experience Nvidia Machine Learning jobs in California, the most frequently searched job titles are:
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What cities in California are hiring for No Experience Nvidia Machine Learning jobs?
Cities in California with the most No Experience Nvidia Machine Learning job openings:
Research Scientist, Generalist Embodied Agent Research - PhD New College Grad 2026
Santa Clara, CA
Full-time
Re-posted 18 days ago
Nvidia rating
9.6
Based on 18 frontline employees who took The Breakroom Quiz
7th of 246 rated software companies
Job description
NVIDIA is searching for an outstanding research scientist to build humanoid robot foundation models and systems in the Generalist Embodied Agent Research (GEAR) group. Everything that moves will eventually be autonomous. Our mission is to build general-purpose embodied agents that learn to explore and master complex skills across the virtual and the physical world.
You will work with an amazing and collaborative research team that consistently produces influential works on multimodal foundation models, large-scale robot learning, game AI, and physical simulation. Our past projects include Eureka, VIMA, Voyager, MineDojo, MimicPlay, Prismer, and more. One of our team's most recent milestones includes Project GR00T, a foundation model for humanoid robots. Your contributions will have a significant impact on our moonshot research projects and product roadmaps.
What you'll be doing:
Design and implement novel AI algorithms and models for general-purpose humanoid robots and embodied agents;
Develop large-scale AI training and inference methods for foundation models;
Optimize and deploy AI models in physical simulation and on robot hardware;
Collaborate with research and engineering teams across all of NVIDIA to transfer research to products and services.
What we need to see:
Ph.D. in Computer Science/Engineering, Electrical Engineering, etc., or equivalent research experience.
Outstanding engineering skills in rapid prototyping and model training frameworks (PyTorch, Jax, Tensorflow, etc.). Python or C++ is required; CUDA or ROS proficiencies are a plus;
Excellent knowledge and hands-on experience for training LLMs, multimodal foundation models, or large generative models.
Experience in foundation and diffusion models, reinforcement learning, agent learning, and applied robotics
Experience across one or both of these fields:
Multimodal Foundation Models
Hands-on training experience and publications in at least one of the following topics: LLMs; Large vision-language models; Video generative models and diffusion algorithms; Action-based transformers.
Excellent skills in working with large-scale machine learning/AI systems and compute infrastructure.
Robotics
Hands-on training experience and publications in robot learning, such as reinforcement learning, imitation learning, classical control methods, etc.
Deep understanding of robot kinematics, dynamics, and sensors;
Ability to safely operate robot hardware, lab equipment, and tools;
Knowledge of control methods, including PID, model predictive control, and whole-body control;
Familiarity with physics simulation frameworks such as MuJoCo and Isaac Sim;
Robot hardware design and hands-on building experience.
NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world. Please join us and be part of the forefront of developing general-purpose robots and embodied agents!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 3, and 192,000 USD - 304,750 USD for Level 4.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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.
About Nvidia
Sourced by ZipRecruiter
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Santa Clara, CA, US