Robotics AI Engineer Sr. Staff/Principal Engineer – Embodied AI/Vision Language Action Models
Qualcomm
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San Diego, CA
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0
0
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Not Applicable
Posted April 17, 2026
Job link
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Responsibilities
Commitments
Responsibilities
- Research the latest trends in robotics AI and multimodal learning to inform Qualcomm’s VLA roadmap.
- Design and develop models that connect vision, language, and action for real world robotic applications.
- Build and maintain training pipelines, datasets, and evaluation benchmarks for embodied AI.
- Optimize and deploy models on Qualcomm’s robotics platforms for realtime, ondevice performance.
- Collaborate with crossfunctional teams to integrate AI capabilities into Qualcomm’s Robotics SDK and partner solutions.
- Contribute to internal knowledge sharing and, where appropriate, publish findings in top AI and robotics venues.
Commitments
Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process.
Not Met Priorities
What still needs stronger evidence
Requirements
- Strong experience in deep learning (transformers, multimodal models) and robotics AI.
- Proficiency in Python and frameworks like PyTorch or TensorFlow.
- Familiarity with robotics systems, simulation environments, and ROS 2.
Preferred Skills
- Master’s degree in Computer Science, Robotics, Electrical Engineering, or related field (PhD preferred).
- Experience with model optimization and deployment on edge or embedded platforms.
- Background in vision-language models, policy learning, or robotic foundation models.
- Experience with dataset curation, teleoperation data, or simulationtoreal transfer.
- Knowledge of model compression techniques (quantization, distillation) for efficient deployment.
- Strong communication skills and ability to work in a collaborative, fastpaced environment.
Education
- (Not required) – Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 8+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
- (Not required) – OR
- (Not required) – Master's degree in Computer Science, Engineering, Information Systems, or related field and 7+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
- (Not required) – OR
- (Not required) – PhD in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
- (Not required) – Master’s degree in Computer Science, Robotics, Electrical Engineering, or related field (PhD preferred).
Company
Qualcomm Technologies, Inc.
Job Area
Engineering Group, Engineering Group > Machine Learning Engineering
General Summary
About the Role
Qualcomm Robotics is shaping the future of intelligent machines. We are looking for a Robotics AI Engineer to help build next generation Vision Language Action (VLA) models . AI systems that enable robots to understand the world, follow natural language instructions, and perform complex tasks. This role combines cutting edge research with practical deployment on Qualcomm’s advanced robotics platforms.
What You’ll Do
Research the latest trends in robotics AI and multimodal learning to inform Qualcomm’s VLA roadmap.
Design and develop models that connect vision, language, and action for real world robotic applications.
Build and maintain training pipelines, datasets, and evaluation benchmarks for embodied AI.
Optimize and deploy models on Qualcomm’s robotics platforms for realtime, ondevice performance.
Collaborate with crossfunctional teams to integrate AI capabilities into Qualcomm’s Robotics SDK and partner solutions.
Contribute to internal knowledge sharing and, where appropriate, publish findings in top AI and robotics venues.
Minimum Qualifications
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 8+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
Master's degree in Computer Science, Engineering, Information Systems, or related field and 7+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Preferred Qualifications
Master’s degree in Computer Science, Robotics, Electrical Engineering, or related field (PhD preferred).
Strong experience in deep learning (transformers, multimodal models) and robotics AI.
Proficiency in Python and frameworks like PyTorch or TensorFlow.
Familiarity with robotics systems, simulation environments, and ROS 2.
Experience with model optimization and deployment on edge or embedded platforms.
Background in vision-language models, policy learning, or robotic foundation models.
Experience with dataset curation, teleoperation data, or simulationtoreal transfer.
Knowledge of model compression techniques (quantization, distillation) for efficient deployment.
Strong communication skills and ability to work in a collaborative, fastpaced environment.
Why Join Us?
Work on cuttingedge robotics AI that bridges research and realworld impact.
Collaborate with worldclass teams building the next generation of intelligent robots.
Access to advanced hardware, simulation tools, and Qualcomm’s AI acceleration technologies.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay Range And Other Compensation & Benefits
$221,600.00 - $332,400.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.
Qualcomm Technologies, Inc.
Job Area
Engineering Group, Engineering Group > Machine Learning Engineering
General Summary
About the Role
Qualcomm Robotics is shaping the future of intelligent machines. We are looking for a Robotics AI Engineer to help build next generation Vision Language Action (VLA) models . AI systems that enable robots to understand the world, follow natural language instructions, and perform complex tasks. This role combines cutting edge research with practical deployment on Qualcomm’s advanced robotics platforms.
What You’ll Do
Research the latest trends in robotics AI and multimodal learning to inform Qualcomm’s VLA roadmap.
Design and develop models that connect vision, language, and action for real world robotic applications.
Build and maintain training pipelines, datasets, and evaluation benchmarks for embodied AI.
Optimize and deploy models on Qualcomm’s robotics platforms for realtime, ondevice performance.
Collaborate with crossfunctional teams to integrate AI capabilities into Qualcomm’s Robotics SDK and partner solutions.
Contribute to internal knowledge sharing and, where appropriate, publish findings in top AI and robotics venues.
Minimum Qualifications
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 8+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
Master's degree in Computer Science, Engineering, Information Systems, or related field and 7+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Preferred Qualifications
Master’s degree in Computer Science, Robotics, Electrical Engineering, or related field (PhD preferred).
Strong experience in deep learning (transformers, multimodal models) and robotics AI.
Proficiency in Python and frameworks like PyTorch or TensorFlow.
Familiarity with robotics systems, simulation environments, and ROS 2.
Experience with model optimization and deployment on edge or embedded platforms.
Background in vision-language models, policy learning, or robotic foundation models.
Experience with dataset curation, teleoperation data, or simulationtoreal transfer.
Knowledge of model compression techniques (quantization, distillation) for efficient deployment.
Strong communication skills and ability to work in a collaborative, fastpaced environment.
Why Join Us?
Work on cuttingedge robotics AI that bridges research and realworld impact.
Collaborate with worldclass teams building the next generation of intelligent robots.
Access to advanced hardware, simulation tools, and Qualcomm’s AI acceleration technologies.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay Range And Other Compensation & Benefits
$221,600.00 - $332,400.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.