Intel Robotics information
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$32.69 - $36.41
14% of jobs
$36.41 - $40.12
1% of jobs
$40.12 - $43.84
4% of jobs
$44.46 is the 25th percentile. Wages below this are outliers.
$43.84 - $47.55
38% of jobs
$49.71 is the 75th percentile. Wages above this are outliers.
$47.55 - $51.27
32% of jobs
$51.27 - $54.98
1% of jobs
$54.98 - $58.70
0% of jobs
$58.70 - $62.41
0% of jobs
$62.41 - $66.13
0% of jobs
$66.13 - $69.84
4% of jobs
$69.84 - $73.56
6% of jobs
How much do intel robotics jobs pay per hour?
As of Aug 27, 2026, the average hourly pay for intel robotics in the United States is $49.16, according to ZipRecruiter salary data. Most workers in this role earn between $46.15 and $49.28 per hour, depending on experience, location, and employer.
Intel Robotics refers to the range of robotics technologies, tools, and solutions developed by Intel Corporation. These include hardware platforms like processors and sensors, as well as software frameworks designed to enable intelligent, autonomous robots. Intel Robotics is used in various industries such as manufacturing, healthcare, and logistics to improve automation and efficiency. The company supports research, development, and deployment of robots through partnerships and robust development kits.
Professionals in Intel Robotics regularly collaborate with software engineers, hardware designers, and data scientists to develop and optimize robotic systems. Daily tasks often involve joint problem-solving sessions, code reviews, and integrating new hardware components with existing software frameworks. Effective communication and teamwork are essential, as projects usually require input from multiple domains, including machine learning, embedded systems, and mechanical engineering. Cross-functional meetings and agile methodologies are commonly used to ensure alignment and smooth progress throughout the development lifecycle.
To succeed as an Intel Robotics Engineer, you need a strong background in robotics engineering, computer science, and embedded systems, often supported by a relevant degree. Familiarity with programming languages like C++, Python, and ROS, as well as experience with hardware prototyping and machine learning frameworks, is essential. Problem-solving ability, teamwork, and effective communication are crucial soft skills for collaborating on complex projects and driving innovation. These skills ensure efficient development, integration, and deployment of intelligent robotic systems in dynamic environments.
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