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Senior Robotics Engineer information
See Texas salary details
$55.4K - $65.9K
1% of jobs
$65.9K - $76.4K
3% of jobs
$76.4K - $86.9K
7% of jobs
$97.2K is the 25th percentile. Wages below this are outliers.
$86.9K - $97.4K
14% of jobs
$97.4K - $107.9K
17% of jobs
The median wage is $112.3K / yr.
$107.9K - $118.4K
19% of jobs
$118.4K - $128.9K
13% of jobs
$130.3K is the 75th percentile. Wages above this are outliers.
$128.9K - $139.5K
11% of jobs
$139.5K - $150K
7% of jobs
$150K - $160.5K
5% of jobs
$160.5K - $171K
3% of jobs
$55.4K
$117.9K
$171K
How much do senior robotics engineer jobs pay per year?
What are the key skills and qualifications needed to thrive in the Senior Robotics Engineer position, and why are they important?
A Senior Robotics Engineer typically requires an advanced degree in robotics, mechanical, electrical, or computer engineering, along with extensive experience in designing and developing robotic systems. Proficiency in programming languages such as C++, Python or ROS, and familiarity with CAD tools, embedded systems, and relevant certifications like Certified LabVIEW Developer are highly valued. Strong problem-solving skills, leadership abilities, and effective communication set top candidates apart. These skills ensure innovative solutions, efficient project management, and effective collaboration across multidisciplinary teams in the fast-evolving field of robotics.
What is a Senior Robotics Engineer job?
A Senior Robotics Engineer designs, develops, and implements advanced robotic systems for various applications, such as automation, manufacturing, and healthcare. They lead projects, collaborate with cross-functional teams, and optimize hardware and software integration. Their role also includes troubleshooting, prototyping, and improving robotic algorithms for efficiency and precision. Additionally, they mentor junior engineers and ensure compliance with industry standards.
What are some typical projects and daily responsibilities for a Senior Robotics Engineer?
Senior Robotics Engineers usually work on the end-to-end development of robotic systems, from conceptual design and prototyping to testing and deployment. Their daily responsibilities often include leading project teams, developing software and hardware integration, troubleshooting system issues, and optimizing performance. Collaboration with cross-functional teams such as mechanical engineers, software developers, and product managers is frequent. These engineers may also mentor junior staff, participate in code reviews, and stay updated on emerging robotics technologies to implement the latest advancements. This mix of technical and leadership tasks makes the role both challenging and rewarding.
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Full-time
Re-posted 18 days ago
Advanced Micro Devices rating
8.4
Based on 7 frontline employees who took The Breakroom Quiz
26th of 143 rated electronics manufacturers
Job description
WHAT YOU DO AT AMD CHANGES EVERYTHING
At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.
About the Role
We are seeking a highly skilled Senior Robotics Simulation Expert to join our team. The ideal candidate will be responsible for selecting and advancing simulation architecture solutions tailored for robotic systems. This role requires a deep understanding of robotics simulation stacks, including digital twin development, sim-to-real/real-to-sim pipelines, cloud-based simulation infrastructure, and AI integration within autonomous environments.
Key Responsibilities
- Collaborate with cross-functional teams to build and refine robust pipelines for transferring learned behaviors, sensor models, and physics parameters between simulation and real-world robotic systems, minimizing the reality gap through domain randomization and adaptation techniques.
- Architect and deploy scalable simulation infrastructure on cloud platforms, ensuring seamless parallel simulation runs, distributed training environments, and on-demand access optimized for robotic use cases with low latency and high performance.
- Provide technical leadership in integrating AI/ML frameworks into simulation environments, enabling reinforcement learning, synthetic data generation, autonomous behavior training, and intelligent environment modeling.
- Design and implement SIL testing frameworks to validate robotic software stacks — including perception, planning, and control modules — within simulated environments.
- Develop and maintain HIL testing setups that interface real hardware components with simulated environments, ensuring real-time performance validation, system integrity, and hardware-software compatibility verification.
- Stay updated with the latest trends and technologies in robotics simulation frameworks, automation, AI/ML integration, and sim-to-real methodologies, offering insights and recommendations to continuously enhance simulation capabilities.
Preferred Experience
- Simulation Platforms: Proven experience in simulation architecture using platforms such as NVIDIA Isaac Sim, Gazebo, MuJoCo, Webots, or Unreal Engine, tailored to specific robotic applications.
- Digital Twin Frameworks: Strong knowledge and hands-on experience developing and maintaining digital twin models for robotic systems, including real-time state synchronization and physics calibration.
- Sim-to-Real & Real-to-Sim Pipelines: Experience designing domain randomization strategies, sensor noise modeling, and physics engine calibration to bridge the gap between simulation and real-world deployment.
- Cloud Simulation Infrastructure: Expertise in architecting and deploying simulation environments on cloud platforms including containerized and distributed simulation workflows.
- AI/ML Integration: Experience integrating machine learning frameworks (PyTorch, TensorFlow, Isaac Lab, or similar) into simulation pipelines for policy training, synthetic data generation, and autonomous behavior development.
- SIL & HIL Testing: Hands-on experience designing and executing Software-in-the-Loop and Hardware-in-the-Loop testing workflows, including real-time simulation interfacing and embedded system integration.
- Robotics Frameworks: Proven experience with ROS and ROS2 in simulation and real-world robotic deployments.
- Problem-Solving Skills: Excellent problem-solving skills and attention to detail in debugging complex hardware-software-simulation interactions.
- Collaboration and Communication: Ability to work collaboratively in a cross-functional team environment with strong written and verbal communication skills.
ACADEMIC CREDENTIALS:
- Bachelor’s or Master’s in Electrical Engineer, Computer Engineering, Computer Science, or a closely related field
Location
- Austin, TX
- Santa Clara, CA
- Other locations are considered for exceptional candidates.
This role is not eligible for visa sponsorship.
#LI-BW2
#LI-HYBRID
Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.
Qualifications:Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.
Education:UNAVAILABLEEmployment Type: FULL_TIMEWhat Advanced Micro Devices employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Advanced Micro Devices (AMD)
Sourced by ZipRecruiter
Industry
Computer and electronic product manufacturing and manufacturing
Company size
5,001 - 10,000 Employees
Headquarters location
Sunnyvale, CA, US