Santa Clara, CA · On-site
$122K - $168K/yr
At NVIDIA, we are pushing the boundaries of what's possible within self-driving vehicle technology by bringing to bear the power of Deep Reinforcement Learning (RL). As a world leader in AI and high ...
Santa Clara, CA · On-site
$122K - $168K/yr
At NVIDIA, we are pushing the boundaries of what's possible within self-driving vehicle technology by bringing to bear the power of Deep Reinforcement Learning (RL). As a world leader in AI and high ...
Santa Clara, CA · On-site
$224 - $357/hr
At NVIDIA, we are pushing the boundaries of what's possible within self-driving vehicle technology by bringing to bear the power of Deep Reinforcement Learning (RL). As a world leader in AI and high ...
Santa Clara, CA · On-site
$224 - $357/hr
At NVIDIA, we are pushing the boundaries of what's possible within self-driving vehicle technology by bringing to bear the power of Deep Reinforcement Learning (RL). As a world leader in AI and high ...
Santa Clara, CA · On-site
$122K - $168K/yr
At NVIDIA, we are pushing the boundaries of what's possible within self-driving vehicle technology by bringing to bear the power of Deep Reinforcement Learning (RL). As a world leader in AI and high ...
Santa Clara, CA · On-site
$122K - $168K/yr
At NVIDIA, we are pushing the boundaries of what's possible within self-driving vehicle technology by bringing to bear the power of Deep Reinforcement Learning (RL). As a world leader in AI and high ...
At NVIDIA, we are pushing the boundaries of what's possible within self-driving vehicle technology by bringing to bear the power of Deep Reinforcement Learning (RL). As a world leader in AI and high ...
At NVIDIA, we are pushing the boundaries of what's possible within self-driving vehicle technology by bringing to bear the power of Deep Reinforcement Learning (RL). As a world leader in AI and high ...
The Planning & Decision-Making group is investing heavily in deep reinforcement learning to move beyond classical planning, learning policies that generalize across novel driving scenarios, handle ...
The Planning & Decision-Making group is investing heavily in deep reinforcement learning to move beyond classical planning, learning policies that generalize across novel driving scenarios, handle ...
Deep understanding and practical experience with various reinforcement learning algorithms and techniques (model-free, model-based, multi-task, hierarchical, multi-agent, etc.). * Strong background ...
Deep understanding and practical experience with various reinforcement learning algorithms and techniques (model-free, model-based, multi-task, hierarchical, multi-agent, etc.). * Strong background ...
Required : • Deep understanding of reinforcement learning, reward shaping, and optimization strategies. • Strong familiarity with LLM fine-tuning techniques (PPO, DPO, KTO) and their applications ...
Required : • Deep understanding of reinforcement learning, reward shaping, and optimization strategies. • Strong familiarity with LLM fine-tuning techniques (PPO, DPO, KTO) and their applications ...
Design and implement advanced reinforcement learning algorithms (e.g., multi-agent RL, model-based RL, deep RL) for real-time control of data center infrastructure. * Simulation and Training: Build ...
Design and implement advanced reinforcement learning algorithms (e.g., multi-agent RL, model-based RL, deep RL) for real-time control of data center infrastructure. * Simulation and Training: Build ...
Santa Clara, CA · On-site
$17.50 - $23.50/hr
We are looking for PhD research interns excited to advance the next generation of large language models through reinforcement learning. Our applied deep learning research team at NVIDIA has helped ...
Santa Clara, CA · On-site
$17.50 - $23.50/hr
We are looking for PhD research interns excited to advance the next generation of large language models through reinforcement learning. Our applied deep learning research team at NVIDIA has helped ...
Santa Clara, CA · On-site
$17.50 - $23.50/hr
We are looking for PhD research interns excited to advance the next generation of large language models through reinforcement learning. Our applied deep learning research team at NVIDIA has helped ...
Santa Clara, CA · On-site
$17.50 - $23.50/hr
We are looking for PhD research interns excited to advance the next generation of large language models through reinforcement learning. Our applied deep learning research team at NVIDIA has helped ...
Santa Clara, CA · On-site
$184 - $287.50/hr
You will demonstrate foundational expertise in deep learning, reinforcement learning, and applied mathematics to help develop models capable of reasoning, planning, and acting across diverse ...
Santa Clara, CA · On-site
$184 - $287.50/hr
You will demonstrate foundational expertise in deep learning, reinforcement learning, and applied mathematics to help develop models capable of reasoning, planning, and acting across diverse ...
You will demonstrate foundational expertise in deep learning, reinforcement learning, and applied mathematics to help develop models capable of reasoning, planning, and acting across diverse ...
You will demonstrate foundational expertise in deep learning, reinforcement learning, and applied mathematics to help develop models capable of reasoning, planning, and acting across diverse ...
Santa Clara, CA · On-site
$17.50 - $23.50/hr
We are looking for PhD research interns excited to advance the next generation of large language models through reinforcement learning. Our applied deep learning research team at NVIDIA has helped ...
Santa Clara, CA · On-site
$17.50 - $23.50/hr
We are looking for PhD research interns excited to advance the next generation of large language models through reinforcement learning. Our applied deep learning research team at NVIDIA has helped ...
You will demonstrate foundational expertise in deep learning, reinforcement learning, and applied mathematics to help develop models capable of reasoning, planning, and acting across diverse ...
You will demonstrate foundational expertise in deep learning, reinforcement learning, and applied mathematics to help develop models capable of reasoning, planning, and acting across diverse ...
Design and implement advanced reinforcement learning algorithms (e.g., multi-agent RL, model-based RL, deep RL) for real-time control of data center infrastructure. * Simulation and Training: Build ...
Quick apply
Design and implement advanced reinforcement learning algorithms (e.g., multi-agent RL, model-based RL, deep RL) for real-time control of data center infrastructure. * Simulation and Training: Build ...
As a Research Scientist in the Reinforcement Learning team, you will develop novel approaches to ... Preferred : • Strong systems and engineering expertise in deep learning frameworks such as ...
As a Research Scientist in the Reinforcement Learning team, you will develop novel approaches to ... Preferred : • Strong systems and engineering expertise in deep learning frameworks such as ...
Sunnyvale, CA · On-site
$150K - $450K/yr
... deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. Position Summary As a Research Scientist within our Reinforcement Learning team, you will play a ...
Quick apply
Sunnyvale, CA · On-site
$150K - $450K/yr
... deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. Position Summary As a Research Scientist within our Reinforcement Learning team, you will play a ...
Sunnyvale, CA · On-site
$230K - $260K/yr
JOB SUMMARY The Senior Reinforcement Learning Engineer is a key, hands-on role focused on achieving ... This engineer will leverage their deep expertise in RL to solve critical locomotion and ...
Sunnyvale, CA · On-site
$230K - $260K/yr
JOB SUMMARY The Senior Reinforcement Learning Engineer is a key, hands-on role focused on achieving ... This engineer will leverage their deep expertise in RL to solve critical locomotion and ...
Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the ...
Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the ...
Sunnyvale, CA · On-site
$170 - $210/hr
JOB SUMMARY The Senior Reinforcement Learning Engineer is a key, hands-on role focused on achieving ... This engineer will leverage their deep expertise in RL to solve critical locomotion and ...
Sunnyvale, CA · On-site
$170 - $210/hr
JOB SUMMARY The Senior Reinforcement Learning Engineer is a key, hands-on role focused on achieving ... This engineer will leverage their deep expertise in RL to solve critical locomotion and ...
A Deep Reinforcement Learning (DRL) job involves researching, developing, and applying AI models that use reinforcement learning techniques combined with deep learning. Professionals in this role design algorithms that enable agents to learn optimal decision-making policies through trial and error. Common applications include robotics, game AI, autonomous systems, and financial modeling. This job typically requires expertise in machine learning, neural networks, and programming languages like Python, along with frameworks such as TensorFlow or PyTorch.
A typical day for a Deep Reinforcement Learning professional involves designing algorithms, running experiments, analyzing results, and optimizing models to improve performance. You may collaborate regularly with data scientists, software engineers, and domain experts to integrate RL solutions into larger systems or products. Tasks often include reading the latest research, contributing to code reviews, and documenting findings while troubleshooting technical challenges. This dynamic environment encourages continuous learning and teamwork, ensuring you stay at the forefront of AI innovation.
To thrive in Deep Reinforcement Learning, you need expertise in machine learning, programming (Python, TensorFlow, or PyTorch), and applied mathematics, often supported by an advanced degree in computer science or a related field. Familiarity with version control systems, cloud computing platforms, and relevant certifications in AI or data science are valuable assets. Strong problem-solving abilities, collaboration, and effective communication are important soft skills in this position. These skills are essential for developing, implementing, and iterating cutting-edge algorithms that solve complex real-world problems in dynamic environments.
The most popular types of Deep Reinforcement Learning jobs in California are:
For Deep Reinforcement Learning jobs in California, the most frequently searched job titles are:
The top searched job categories for Deep Reinforcement Learning jobs in California are:
$122K - $168K/yr
Full-time
Posted 7 days ago
9.6
Based on 18 frontline employees who took The Breakroom Quiz
6th of 247 rated software companies
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. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.
Come join the team and see how you can make a lasting impact on the world. At NVIDIA, we are pushing the boundaries of what's possible within self-driving vehicle technology by bringing to bear the power of Deep Reinforcement Learning (RL). As a world leader in AI and high-performance computing, NVIDIA provides an outstanding platform where innovative research meets real-world production.
We are looking for a Reinforcement Learning Engineer to join our mission in building intelligent, safe, and efficient self-driving technology that will redefine transportation on a global scale. What you'll be doing: Build and implement brand new Reinforcement Learning (RL) algorithms for autonomous vehicle decision-making and planning. Develop and maintain scalable training pipelines and simulation environments for RL training.
Collaborate with perception, and planning teams to integrate RL models into the unified autonomous driving stack. Benchmark RL model performance against imitation learning baselines in complex urban environments. Optimize and deploy RL models to production-grade automotive hardware.
What we need to see: BS or higher in Computer Science, Robotics, Electrical Engineering, or a related field (or equivalent experience). 12+ years of experieence in the related field. Solid background in Reinforcement Learning, including policy gradient methods (PPO, GRPO), actor-critic architectures, on-policy and off-policy RL Proficiency in PyTorch or TensorFlow and real experience with RL-related algorithm Experience in C++ and Python development for real-time systems.
Strong analytical and problem-solving skills, with a track record of implementing and debugging complex RL systems. Ways to stand out from the crowd: Background in shipping autonomous driving features or embodied AI. Experience with generative models (Flow Matching, Diffusion, or AR-based decoders) in the context of policy representation or trajectory modeling.
Experience with training policies on their own rollout distributions and handling the compounding error problems inherent in autonomous driving. Experience working with large-scale data flywheels, including mining scenarios from fleet telemetry logs, auto-labeling pipelines, and automated performance tracking. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
The base salary range is 224,000 USD - 356,500 USD. 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. NVIDIA is committed to fostering an inclusive 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.
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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.
Computer and electronic product manufacturing
10,000+ Employees
Santa Clara, CA, US
