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Samsung Embedded Engineer information

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$62.5K

$137.3K

$192K

How much do samsung embedded engineer jobs pay per year?

As of Jun 3, 2026, the average yearly pay for samsung embedded engineer in the United States is $137,274.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $163,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Samsung Embedded Engineer, you need a solid background in computer engineering or electronics, with expertise in embedded systems design and programming languages like C/C++. Familiarity with real-time operating systems (RTOS), debugging tools, hardware interfaces, and relevant certifications such as Embedded Systems Certification are typically required. Strong problem-solving, teamwork, and effective communication skills help you excel in cross-functional development environments. These skills ensure the creation of reliable, innovative embedded solutions that meet Samsung's high standards for consumer electronics and device performance.

What are some common challenges faced by a Samsung Embedded Engineer when integrating new hardware components?

Samsung Embedded Engineers often encounter challenges such as ensuring compatibility between new hardware components and existing embedded systems, managing real-time performance requirements, and troubleshooting low-level communication protocols. The integration process may also require extensive debugging and close collaboration with cross-functional teams, including hardware designers and software developers. Staying updated with Samsung’s proprietary platforms and adapting to fast-paced product cycles are crucial for success in this role.

What does a Samsung Embedded Engineer do?

A Samsung Embedded Engineer is responsible for developing and maintaining embedded software and firmware for Samsung's electronic devices such as smartphones, TVs, and home appliances. They work on integrating hardware and software components, optimizing system performance, debugging, and ensuring product reliability. These engineers often collaborate with cross-functional teams to bring new features to life and resolve technical challenges throughout the product lifecycle.

What is the difference between Samsung Embedded Engineer vs Samsung Firmware Engineer?

AspectSamsung Embedded EngineerSamsung Firmware Engineer
Required CredentialsBachelor's in Electrical, Computer Engineering or related; knowledge of embedded systemsBachelor's in Computer Science, Electrical Engineering; strong programming skills in C/C++
Work EnvironmentDesigning and developing embedded hardware/software for consumer electronicsDeveloping firmware for devices, often working closely with hardware teams
Employer & Industry UsageUsed across Samsung's product lines like smartphones, appliances, IoT devicesPrimarily in product firmware development for Samsung's electronic devices

Samsung Embedded Engineers focus on designing and integrating embedded hardware and software systems, while Samsung Firmware Engineers specialize in developing low-level firmware for devices. Both roles require similar technical skills and often collaborate within the same industry sectors, but their core responsibilities differ in scope and focus.

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Samsung Embedded Engineer jobs near you
Senior Staff Research Engineer, Robot Intelligence

Senior Staff Research Engineer, Robot Intelligence

Samsung Research America

Mountain View, CA • On-site

Other

Posted 7 days ago

Samsung Electronics rating

7.0

Company rating: 7.0 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

104th of 139 rated electronics manufacturers

Job description

Lab Summary: The Robot Intelligence Lab at Samsung Research America is a new facility dedicated to advancing the field of robotics through cutting-edge research and development. The lab's mission is to develop advanced technologies such as robotics foundation models, vision-language-action (VLA) models, vision language models (VLMs), reinforcement learning, imitation learning, advanced sensing, and sensor fusion to create intelligent robotic systems capable of interacting with their environment in a human-like natural manner. To achieve this mission, the lab collaborates closely with both with external entities such as universities, startups, and government labs, and with several Samsung Product and Advanced Research labs.   

Position Summary:  Samsung Research America is looking for someone who has solid technical skills and rich academic and/or industry experience in areas of robotics and embodied intelligence. Our ideal candidate is to explore novel AI technologies towards generalizing robots to perform tasks in the real world. Samsung's unique advantage in the consumer electronics market and growing focus on AI and robotics will provide you with exciting technical challenges and a rewarding career experience. By leveraging Samsung's vast product ecosystem to deliver novel user experiences, your work will define Samsung's future in robotics and significantly impact real-world users.

Position Responsibilities:

  • Develop and design robotic hardware and software components
  • Integrate sensors, actuators and other component into robotic systems
  • Design, develop, integrate and test algorithms for robot control, navigation and perception, and analyze and optimize robotic system performance and accuracy
  • Work within cross-functional, cross-divisional teams and assist in the design, analysis and performance evaluation from concept to completion
  • Document and present results for optimizing models for real-time inference on edge devices and robotic systems
  • Conduct experiments and benchmark performance against state-of-the-art approaches in robotic task planning
  • Solid background on model inference acceleration, quantization for embedded or edge devices
  • Prepare proof-of-concepts, demo/prototypes, design, and execute pilot studies using available robot platforms
  • Deploy robot platforms and newly built data collection mechanisms for in-the wild data aggregation in semi-structured and unstructured environments targeting high impact business areas

Required Skills:

  • PhD or Master's degree in EECS/Robotics or equivalent combination of education, training, and experience
  • 7+ years' industry experience in robotics foundation models, vision-language-action (VLA) models, and vision language models (VLMs)
  • Demonstrated experience in kinematics, dynamics, and control systems for robotic systems
  • Solid understanding of computer vision techniques (e.g., object detection, segmentation, tracking) and real-time video tokenizer design and multi-view image processing
  • Knowledgeable of tools and processes to monitor model performance and data quality, including model tuning experience
  • Strong experience with sensors and actuators integration, CAD, and 3D printing tools
  • Familiarity with PyTorch, TensorFlow, C, C++, Java, ROS, and CUDA
  • Strong understanding of robotics fundamentals, including locomotion, manipulation, sensor inputs, pose tracking, 3D mapping, SLAM, ROS, and policy architectures particularly for semi-structured and unstructured environments
  • Excellent problem-solving skills and the ability to work independently and as part of a team
  • Excellent verbal communication and writing skills to effectively represent the derived results and technical concepts developed in the course of the work

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