Director, Product Management - Robotics
Qualcomm
•
San Diego, CA
0
0
0
0
Not Applicable
Posted March 25, 2026
Job link
Thinking about this job
Responsibilities
Commitments
Responsibilities
- Own the product roadmap for Qualcomm’s robotics platforms (e.g., IQ series products, RB products).
- Define platform requirements for industrial-grade robotics solutions including Autonomous Mobile Robots (AMRs), AI-enhanced generalized AMRs and Collaborative Robots.
- Lead integration of Qualcomm’s robotics SDKs (e.g., VSLAM, DFS, semantic mapping, motion planning) with ROS2, Linux, QNX, and Android environments.
- Drive adoption of Qualcomm’s AI capabilities including transformer-accelerated NPUs, LLMs, and multimodal models optimized for edge deployment.
- Collaborate with simulation partners and OEMs to validate full-stack robotics solutions.
- Engage with customers across logistics, manufacturing, and retail to define use cases and accelerate deployment.
- Represent Qualcomm at industry forums and customer engagements to promote robotics strategy and platform capabilities.
Commitments
This is an office based position and will be expected to adhere to the Company's onsite work policy.
Not Met Priorities
What still needs stronger evidence
Requirements
- 8+ years of Product Management or related work experience.
- 10+ years of experience in product management, preferably in robotics, embedded systems, or AI platforms.
- Familiarity with safety standards (ISO 26262, IEC 61508) and functional safety architectures (SIL-2/SIL-3).
- Experience with simulation platforms and digital twins for robotics development.
- Prior experience working with OEMs, Tier 1s, or robotics startups.
- 🧠 AI & Machine Learning
- Transformer models, LLMs, multimodal models, semantic segmentation, pose estimation.
- Reinforcement learning (RL), imitation learning, sim-to-real transfer, domain randomization.
- Depth from stereo, multi-object detection, SLAM, VIO, 3D Lidar SLAM.
- Task and motion planning (TAMP), contact-rich and deformable environments.
- Human-Robot Interaction (HRI): model-predictive control, policy steering, multimodal learning.
- ⚙️ Control & Simulation
- High-performance control libraries for manipulators and humanoids.
- Physics-based simulation: contact interactions, deformables, fluids, and real-time feedback loops.
- 🧩 Software Stack
- ROS2, Linux, QNX, Android, hypervisors.
- 🖥️ Hardware Platforms
- IQ series products, Robotics Reference products, Adreno GPUs, Hexagon NPUs, Spectra ISPs.
- 5G/LTE, Wi-Fi 7, UWB, TSN Ethernet.
- Edge AI: real-time insights, local processing, security, and cost optimization.
- 🔐 Safety & Security
- Safe RTOS, Safety Islands, ECC memory, TrustZone, DRM, Crypto accelerators.
- 🛠️ DevOps & Tooling
- Kubernetes, Argo Workflows, Grafana, Prometheus, W&B.
- Synthetic data generation, digital twins, and simulation pipelines for robotics development.
Preferred Skills
- Master’s degree in Engineering or Business.
- 10+ years of experience in product management, preferably in robotics, embedded systems, or AI platforms.
- Strong technical understanding of robotics hardware (sensors, actuators, SoCs) and software (ROS2, SLAM, perception, planning).
- Experience with AI/ML model deployment on edge devices, including LLMs and vision transformers.
- Experience with Qualcomm’s robotics chipsets and developer kits.
- Familiarity with safety standards (ISO 26262, IEC 61508) and functional safety architectures (SIL-2/SIL-3).
- Experience with simulation platforms and digital twins for robotics development.
- Prior experience working with OEMs, Tier 1s, or robotics startups.
- Technical Skills & Tools
- 🧠 AI & Machine Learning
- Transformer models, LLMs, multimodal models, semantic segmentation, pose estimation.
- Reinforcement learning (RL), imitation learning, sim-to-real transfer, domain randomization.
- Hierarchical vision-language-action models and behavior cloning.
- 🧭 Perception & Planning
- Depth from stereo, multi-object detection, SLAM, VIO, 3D Lidar SLAM.
- Task and motion planning (TAMP), contact-rich and deformable environments.
- Human-Robot Interaction (HRI): model-predictive control, policy steering, multimodal learning.
- ⚙️ Control & Simulation
- High-performance control libraries for manipulators and humanoids.
- Physics-based simulation: contact interactions, deformables, fluids, and real-time feedback loops.
- 🧩 Software Stack
- ROS2, Linux, QNX, Android, hypervisors.
- 🖥️ Hardware Platforms
- IQ series products, Robotics Reference products, Adreno GPUs, Hexagon NPUs, Spectra ISPs.
- 🌐 Connectivity & Edge AI
- 5G/LTE, Wi-Fi 7, UWB, TSN Ethernet.
- Edge AI: real-time insights, local processing, security, and cost optimization.
- 🔐 Safety & Security
- Kubernetes, Argo Workflows, Grafana, Prometheus, W&B.
- Synthetic data generation, digital twins, and simulation pipelines for robotics development.
Education
- (Not required) – Bachelor's degree in Engineering, Information Systems, Computer Science, Humanities, or related field.
- (Not required) – 8+ years of Product Management or related work experience.
- (Not required) – Bachelor’s degree in Engineering, Computer Science, Robotics, or related field.
- (Not required) – Master’s degree in Engineering or Business.
Company
Qualcomm Technologies, Inc.
Job Area
Operations Group, Operations Group > Product Management
General Summary
Qualcomm is seeking a strategic and technically adept Director of Product Management to lead its robotics product portfolio. This role will define and drive the roadmap for intelligent robotics platforms, integrating Qualcomm’s advanced IQ series products, Robotics Reference products, AI engines, and connectivity solutions into industrial, commercial, and consumer robotics applications.
You will be responsible for shaping the strategy, defining product requirements, and leading cross-functional execution across engineering, business development, marketing, and customer engagement teams. The ideal candidate will have deep domain expertise in robotics, AI/ML, edge computing, and embedded systems, with a proven track record of launching successful hardware-software products.
Key Responsibilities
Own the product roadmap for Qualcomm’s robotics platforms (e.g., IQ series products, RB products).
Define platform requirements for industrial-grade robotics solutions including Autonomous Mobile Robots (AMRs), AI-enhanced generalized AMRs and Collaborative Robots.
Lead integration of Qualcomm’s robotics SDKs (e.g., VSLAM, DFS, semantic mapping, motion planning) with ROS2, Linux, QNX, and Android environments.
Drive adoption of Qualcomm’s AI capabilities including transformer-accelerated NPUs, LLMs, and multimodal models optimized for edge deployment.
Collaborate with simulation partners and OEMs to validate full-stack robotics solutions.
Engage with customers across logistics, manufacturing, and retail to define use cases and accelerate deployment.
Represent Qualcomm at industry forums and customer engagements to promote robotics strategy and platform capabilities.
This is an office based position and will be expected to adhere to the Company's onsite work policy.
Minimum Qualifications
Bachelor's degree in Engineering, Information Systems, Computer Science, Humanities, or related field.
8+ years of Product Management or related work experience.
Preferred Qualifications
Bachelor’s degree in Engineering, Computer Science, Robotics, or related field.
Master’s degree in Engineering or Business.
10+ years of experience in product management, preferably in robotics, embedded systems, or AI platforms.
Strong technical understanding of robotics hardware (sensors, actuators, SoCs) and software (ROS2, SLAM, perception, planning).
Experience with AI/ML model deployment on edge devices, including LLMs and vision transformers.
Experience with Qualcomm’s robotics chipsets and developer kits.
Familiarity with safety standards (ISO 26262, IEC 61508) and functional safety architectures (SIL-2/SIL-3).
Experience with simulation platforms and digital twins for robotics development.
Prior experience working with OEMs, Tier 1s, or robotics startups.
Technical Skills & Tools
🧠 AI & Machine Learning
Transformer models, LLMs, multimodal models, semantic segmentation, pose estimation.
Reinforcement learning (RL), imitation learning, sim-to-real transfer, domain randomization.
Hierarchical vision-language-action models and behavior cloning.
🧭 Perception & Planning
Depth from stereo, multi-object detection, SLAM, VIO, 3D Lidar SLAM.
Task and motion planning (TAMP), contact-rich and deformable environments.
Human-Robot Interaction (HRI): model-predictive control, policy steering, multimodal learning.
⚙️ Control & Simulation
High-performance control libraries for manipulators and humanoids.
Physics-based simulation: contact interactions, deformables, fluids, and real-time feedback loops.
🧩 Software Stack
ROS2, Linux, QNX, Android, hypervisors.
🖥️ Hardware Platforms
IQ series products, Robotics Reference products, Adreno GPUs, Hexagon NPUs, Spectra ISPs.
🌐 Connectivity & Edge AI
5G/LTE, Wi-Fi 7, UWB, TSN Ethernet.
Edge AI: real-time insights, local processing, security, and cost optimization.
🔐 Safety & Security
Safe RTOS, Safety Islands, ECC memory, TrustZone, DRM, Crypto accelerators.
Compliance with ISO 26262, IEC 61508, and SIL-2/SIL-3 standards.
🛠️ DevOps & Tooling
Kubernetes, Argo Workflows, Grafana, Prometheus, W&B.
Synthetic data generation, digital twins, and simulation pipelines for robotics development.
Why Join Us?
At Qualcomm, we are engineering human progress. Join a team that’s transforming robotics through intelligent computing, connectivity, and AI. Help shape the future of automation across industries.
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
$196,000.00 - $344,800.00
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
Operations Group, Operations Group > Product Management
General Summary
Qualcomm is seeking a strategic and technically adept Director of Product Management to lead its robotics product portfolio. This role will define and drive the roadmap for intelligent robotics platforms, integrating Qualcomm’s advanced IQ series products, Robotics Reference products, AI engines, and connectivity solutions into industrial, commercial, and consumer robotics applications.
You will be responsible for shaping the strategy, defining product requirements, and leading cross-functional execution across engineering, business development, marketing, and customer engagement teams. The ideal candidate will have deep domain expertise in robotics, AI/ML, edge computing, and embedded systems, with a proven track record of launching successful hardware-software products.
Key Responsibilities
Own the product roadmap for Qualcomm’s robotics platforms (e.g., IQ series products, RB products).
Define platform requirements for industrial-grade robotics solutions including Autonomous Mobile Robots (AMRs), AI-enhanced generalized AMRs and Collaborative Robots.
Lead integration of Qualcomm’s robotics SDKs (e.g., VSLAM, DFS, semantic mapping, motion planning) with ROS2, Linux, QNX, and Android environments.
Drive adoption of Qualcomm’s AI capabilities including transformer-accelerated NPUs, LLMs, and multimodal models optimized for edge deployment.
Collaborate with simulation partners and OEMs to validate full-stack robotics solutions.
Engage with customers across logistics, manufacturing, and retail to define use cases and accelerate deployment.
Represent Qualcomm at industry forums and customer engagements to promote robotics strategy and platform capabilities.
This is an office based position and will be expected to adhere to the Company's onsite work policy.
Minimum Qualifications
Bachelor's degree in Engineering, Information Systems, Computer Science, Humanities, or related field.
8+ years of Product Management or related work experience.
Preferred Qualifications
Bachelor’s degree in Engineering, Computer Science, Robotics, or related field.
Master’s degree in Engineering or Business.
10+ years of experience in product management, preferably in robotics, embedded systems, or AI platforms.
Strong technical understanding of robotics hardware (sensors, actuators, SoCs) and software (ROS2, SLAM, perception, planning).
Experience with AI/ML model deployment on edge devices, including LLMs and vision transformers.
Experience with Qualcomm’s robotics chipsets and developer kits.
Familiarity with safety standards (ISO 26262, IEC 61508) and functional safety architectures (SIL-2/SIL-3).
Experience with simulation platforms and digital twins for robotics development.
Prior experience working with OEMs, Tier 1s, or robotics startups.
Technical Skills & Tools
🧠 AI & Machine Learning
Transformer models, LLMs, multimodal models, semantic segmentation, pose estimation.
Reinforcement learning (RL), imitation learning, sim-to-real transfer, domain randomization.
Hierarchical vision-language-action models and behavior cloning.
🧭 Perception & Planning
Depth from stereo, multi-object detection, SLAM, VIO, 3D Lidar SLAM.
Task and motion planning (TAMP), contact-rich and deformable environments.
Human-Robot Interaction (HRI): model-predictive control, policy steering, multimodal learning.
⚙️ Control & Simulation
High-performance control libraries for manipulators and humanoids.
Physics-based simulation: contact interactions, deformables, fluids, and real-time feedback loops.
🧩 Software Stack
ROS2, Linux, QNX, Android, hypervisors.
🖥️ Hardware Platforms
IQ series products, Robotics Reference products, Adreno GPUs, Hexagon NPUs, Spectra ISPs.
🌐 Connectivity & Edge AI
5G/LTE, Wi-Fi 7, UWB, TSN Ethernet.
Edge AI: real-time insights, local processing, security, and cost optimization.
🔐 Safety & Security
Safe RTOS, Safety Islands, ECC memory, TrustZone, DRM, Crypto accelerators.
Compliance with ISO 26262, IEC 61508, and SIL-2/SIL-3 standards.
🛠️ DevOps & Tooling
Kubernetes, Argo Workflows, Grafana, Prometheus, W&B.
Synthetic data generation, digital twins, and simulation pipelines for robotics development.
Why Join Us?
At Qualcomm, we are engineering human progress. Join a team that’s transforming robotics through intelligent computing, connectivity, and AI. Help shape the future of automation across industries.
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
$196,000.00 - $344,800.00
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.