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Humanoid Jobs (NOW HIRING)

Figure AI

Safety Systems Architect

San Jose, CA · On-site

$280K - $350K/yr

Our humanoid is built to operate effectively in both industrial and home environments , leveraging advanced AI to learn, adapt, and interact naturally with the world around it. We are seeking a ...

Figure

Helix Data Creator

Spartanburg, SC · On-site

They are hiring Helix Data Creators to support humanoid robot development efforts by collecting motion data that trains their robots. Responsibilities : • Wear sensor equipment to guide the robot ...

Figure

Site Lead - Commercial Site Team

Reno, NV · On-site

$90K - $140K/yr

The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered ...

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How much do humanoid jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for humanoid in the United States is $24.39, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $33.17 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Humanoid, and why are they important?

I'm sorry, but 'Humanoid' is not a recognized real-world professional occupation, so I cannot provide an answer for this job title.

What are some typical challenges faced by Humanoid Robot Engineers when working on human-robot interaction features?

Humanoid Robot Engineers often encounter challenges related to developing intuitive and safe human-robot interaction features. These include ensuring that the robot can interpret human gestures, speech, and emotions accurately while maintaining user safety in dynamic environments. Additionally, integrating sensory feedback, real-time processing, and adaptive learning into compact hardware can be complex. Collaborating closely with software developers, mechanical engineers, and UX designers is essential to address these challenges and deliver effective solutions.

What are humanoids?

Humanoids are robots or artificial beings designed to resemble and mimic human form and behavior. They typically have a torso, head, two arms, and two legs, and are developed to interact with their environment and people in a human-like way. Humanoids are used in research, healthcare, customer service, and entertainment to perform tasks that require human-like movement or interaction. Advances in artificial intelligence and robotics have made humanoids increasingly capable of understanding speech, recognizing faces, and performing complex tasks safely alongside humans.

What is the difference between Humanoid vs Robot Technician?

AspectHumanoidRobot Technician
Required CredentialsTypically requires a degree in robotics, engineering, or related fieldsRequires technical training or certification in robotics or electronics
Work EnvironmentDesign, programming, and testing humanoid robots in labs or manufacturing facilitiesMaintains, repairs, and installs various robots in industrial or commercial settings
Industry UsageUsed in research, entertainment, and advanced manufacturingCommonly employed in factories, automation plants, and service industries

Humanoids are specialized robots designed to mimic human appearance and behavior, often requiring advanced programming and design skills. Robot technicians focus on maintaining and repairing various types of robots, including humanoids, in industrial environments. While both roles involve robotics, humanoids are more involved in development and research, whereas robot technicians handle operational maintenance.

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Senior Software Engineer, Humanoid Robotics

Senior Software Engineer, Humanoid Robotics

Nvidia Corporation

Santa Clara, CA • On-site

$143K - $189K/yr

Full-time

Posted 15 days ago

Job description

Join NVIDIA's Solution Engineering team that is shaping the future of autonomous machines. Our goal is to build and deploy scalable robotic solutions and enable the next generation of AI robots. Our team is hands-on, passionate about practical results, and values diversity.
You will help craft the application software architecture by working closely with external partners developing on our robotics platform and the collaborations across multiple teams within NVIDIA working on autonomous machines. You will also advance and refine the overall functional capability and quality of our solution, focusing on integration challenges and applying deep analytical skills to tease through the complexity of the system to arrive to effective and optimum solutions.
What you'll be doing:
  • Build and drive the application architecture internally, with a focus on humanoid robotics, by collaborating closely with architecture and software development teams.
  • Scale the deployment and integration of robust and performant implementations of new technologies spanning whole body controller and manipulation algorithms into solutions and products.
  • Integrate hardware and software components efficiently and develop scalable software solutions. Lead profiling, benchmarking and evaluation activities for verification.
  • Provide deep technical guidance and strategies to resolve functional and system performance issues, working with internal and external partner teams.
  • Collaborate with our global engineering teams in our US, APAC, and Europe locations to deploy the solution to our customers.

What we need to see:
  • 5+ years of work related experience in software development related to robotics.
  • Bachelors, Masters or equivalent experience in computer science, robotics, computer engineering, or a related field.
  • Proven track record in developing software products in the domains of machine learning and reinforcement learning, and hands-on physical robot experience, and/or publishing in robotics conferences (RSS, CoRL, ICRA, IROS, NeurIPS, etc.).
  • Established proficiency in application development and scalability for autonomous machines, and familiarity with robotics or automotive related middleware frameworks.
  • Experience with robot simulation platforms and simulation-based reinforcement learning for training and validation of robotic systems, with hands-on experience on sim-to-real transfer of RL policies being a plus.
  • Proficient in Python and C/C++, with experience in GPU programming or CUDA being a strong plus.
  • Capable of adapting quickly to new technologies and platforms.
  • Ability to adapt in a fast paced development lifecycles and multi-functional organizations.

Ways to stand out from the crowd:
  • Hands-on experience with real-world robotic systems and hardware of humanoid robots or mobile manipulator, particularly in loco-manipulation and dexterous hands manipulation tasks.
  • Experience with ROS 2, Isaac SIM and Isaac Lab or equivalent
  • Understanding of NVIDIA Isaac, NVIDIA GPU hardware, and CUDA
  • Contributions to or ownership of open-source project and mentorship experience.

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 April 21, 2026.
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.
Nvidia logo

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

Year founded

1993

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