AI Data Engineer Jobs at Qualcomm with Visa Sponsorship
Qualcomm hires AI Data Engineers to build and scale the data infrastructure powering its semiconductor and platform products. The company has an established visa sponsorship process for this function, supporting candidates across multiple nonimmigrant and immigrant pathways from offer through permanent residence.
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Get Access To All JobsCompany Qualcomm Technologies, Inc.
Job Area Engineering Group, Engineering Group > Machine Learning Engineering
General Summary
Hiring in San Diego and Santa Clara
About Qualcomm Robotics
Qualcomm Advanced Robotics Team is building the AI first stack and platform for the next generation general purpose robots - from AMRs and cobots to emerging humanoids by pairing heterogeneous compute (CPU/GPU/DSP/NPU) with a full Robotics SDK and developer tooling for manipulation, perception, navigation, and fleet workflows. We are leveraging our success in automated driving product portfolio, advanced AI end to end development and tools, and safety architecture to accelerate the growth in this emerging market.
About The Role
We are seeking a Tech Lead to lead the technical design and implementation of AI Ops for a next-generation robotics platform. This role combines deep technical leadership and team management, centered on building robust data pipelines, training and evaluation orchestration, and model operations (MLOps/LLMOps) to support continuous learning and safe, scalable deployment across distributed robotic systems. As the Tech Lead, you will design and oversee AI-driven operational capabilities—telemetry ingestion, observability, anomaly detection signals, and automated remediation—by building the pipelines and infrastructure that produce, validate, deploy, and monitor models. Your focus is on the systems that enable model development and iteration at scale.
What You’ll Do
- Lead the technical design of end-to-end data and ML pipelines spanning high-throughput telemetry ingestion, streaming/batch processing, curated training/eval datasets, and reliable lineage and data quality.
- Build the platform for reproducible ML at scale: training orchestration, distributed jobs, experiment tracking, model registry, and gated promotion flows that enable continuous learning.
- Operate real-time inference safely with robust serving, progressive rollouts (canary/blue-green/shadow), A/B experiments, automated rollback, and strict SLOs.
- Own CI/CD pipelines and release processes for ML and robotics software, including automated builds, testing, deployment orchestration, and integration with observability and rollback mechanisms.
- Establish comprehensive ML observability—data/feature drift, performance monitoring, and incident automation with playbooks—integrated with robotics safety guardrails, auditability, and fail-safe design.
- Partner cross-functionally with robotics software/hardware, ML research, product, and operations to align interfaces, feature contracts, compliance needs, and reliability KPIs across cloud/edge.
- Mentor and grow senior engineers across core platform services, data and model lifecycle tools, and externally facing SDKs setting crisp technical direction, code quality bars, and review culture.
- Engage customers & partners as the senior technical face of the platform clarify requirements, guide integrations, and translate learnings into the roadmap.
How You’ll Lead
- Set the technical bar for platform correctness, reliability, and developer experience.
- Coach senior ICs and tech leads, building a strong review culture and CI/CD discipline for robotics AI Ops pipelines.
- Partner with product and silicon teams to align software roadmaps with SoC capabilities and internal and external customer needs.
Why Qualcomm
- Shape the core platform that powers intelligent, safe, and scalable robotic operations.
- Lead a high-impact team at the intersection of data engineering, MLOps, and robotics.
- Build on a mature developer ecosystem (RBx/QRB platforms, on‑device AI toolchains) and ship at the edge, globally.
Minimum Qualifications
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ 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 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Preferred Qualifications
- MS in Computer Science, Robotics, Electrical Engineering, or related field; PhD a plus.
- 5+ years in software/platform engineering, including 3+ years in technical leadership or staff-plus roles.
- Proven experience building large-scale data pipelines and MLOps platforms; strong background in distributed systems, SRE/DevOps, and safety-critical environments.
- Expertise in data streaming (PubSub, ETL), ML workflow tools (MLflow/W&B, Argo, model registries, feature stores), and infrastructure (Kubernetes, IaC, cloud platforms, edge computing).
- Proficiency in Python, Go, and C++ with solid systems design and reliability engineering; familiarity with observability tools (Prometheus, OpenTelemetry) and incident automation.
- Strong architectural decision-making, communication, and stakeholder management skills across engineering, research, and operations.
- Experience with continuous learning systems (automated data curation, drift/bias monitoring, gated promotions).
- Knowledge of functional safety and compliance frameworks relevant to robotics (e.g., ISO 26262-like principles, IEC 61508-inspired practices).
- Prior delivery of AI Ops/MLOps platforms supporting multiple teams and models at scale.
Why Join Us?
- Shape the core platform that powers intelligent, safe, and scalable robotic operations.
- Lead a high-impact team at the intersection of data engineering, MLOps, and robotics.
- Competitive compensation, benefits, and opportunities for technical leadership growth.
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
$158,400.00 - $237,600.00
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.
Company Qualcomm Technologies, Inc.
Job Area Engineering Group, Engineering Group > Machine Learning Engineering
General Summary
Hiring in San Diego and Santa Clara
About Qualcomm Robotics
Qualcomm Advanced Robotics Team is building the AI first stack and platform for the next generation general purpose robots - from AMRs and cobots to emerging humanoids by pairing heterogeneous compute (CPU/GPU/DSP/NPU) with a full Robotics SDK and developer tooling for manipulation, perception, navigation, and fleet workflows. We are leveraging our success in automated driving product portfolio, advanced AI end to end development and tools, and safety architecture to accelerate the growth in this emerging market.
About The Role
We are seeking a Tech Lead to lead the technical design and implementation of AI Ops for a next-generation robotics platform. This role combines deep technical leadership and team management, centered on building robust data pipelines, training and evaluation orchestration, and model operations (MLOps/LLMOps) to support continuous learning and safe, scalable deployment across distributed robotic systems. As the Tech Lead, you will design and oversee AI-driven operational capabilities—telemetry ingestion, observability, anomaly detection signals, and automated remediation—by building the pipelines and infrastructure that produce, validate, deploy, and monitor models. Your focus is on the systems that enable model development and iteration at scale.
What You’ll Do
- Lead the technical design of end-to-end data and ML pipelines spanning high-throughput telemetry ingestion, streaming/batch processing, curated training/eval datasets, and reliable lineage and data quality.
- Build the platform for reproducible ML at scale: training orchestration, distributed jobs, experiment tracking, model registry, and gated promotion flows that enable continuous learning.
- Operate real-time inference safely with robust serving, progressive rollouts (canary/blue-green/shadow), A/B experiments, automated rollback, and strict SLOs.
- Own CI/CD pipelines and release processes for ML and robotics software, including automated builds, testing, deployment orchestration, and integration with observability and rollback mechanisms.
- Establish comprehensive ML observability—data/feature drift, performance monitoring, and incident automation with playbooks—integrated with robotics safety guardrails, auditability, and fail-safe design.
- Partner cross-functionally with robotics software/hardware, ML research, product, and operations to align interfaces, feature contracts, compliance needs, and reliability KPIs across cloud/edge.
- Mentor and grow senior engineers across core platform services, data and model lifecycle tools, and externally facing SDKs setting crisp technical direction, code quality bars, and review culture.
- Engage customers & partners as the senior technical face of the platform clarify requirements, guide integrations, and translate learnings into the roadmap.
How You’ll Lead
- Set the technical bar for platform correctness, reliability, and developer experience.
- Coach senior ICs and tech leads, building a strong review culture and CI/CD discipline for robotics AI Ops pipelines.
- Partner with product and silicon teams to align software roadmaps with SoC capabilities and internal and external customer needs.
Why Qualcomm
- Shape the core platform that powers intelligent, safe, and scalable robotic operations.
- Lead a high-impact team at the intersection of data engineering, MLOps, and robotics.
- Build on a mature developer ecosystem (RBx/QRB platforms, on‑device AI toolchains) and ship at the edge, globally.
Minimum Qualifications
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ 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 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Preferred Qualifications
- MS in Computer Science, Robotics, Electrical Engineering, or related field; PhD a plus.
- 5+ years in software/platform engineering, including 3+ years in technical leadership or staff-plus roles.
- Proven experience building large-scale data pipelines and MLOps platforms; strong background in distributed systems, SRE/DevOps, and safety-critical environments.
- Expertise in data streaming (PubSub, ETL), ML workflow tools (MLflow/W&B, Argo, model registries, feature stores), and infrastructure (Kubernetes, IaC, cloud platforms, edge computing).
- Proficiency in Python, Go, and C++ with solid systems design and reliability engineering; familiarity with observability tools (Prometheus, OpenTelemetry) and incident automation.
- Strong architectural decision-making, communication, and stakeholder management skills across engineering, research, and operations.
- Experience with continuous learning systems (automated data curation, drift/bias monitoring, gated promotions).
- Knowledge of functional safety and compliance frameworks relevant to robotics (e.g., ISO 26262-like principles, IEC 61508-inspired practices).
- Prior delivery of AI Ops/MLOps platforms supporting multiple teams and models at scale.
Why Join Us?
- Shape the core platform that powers intelligent, safe, and scalable robotic operations.
- Lead a high-impact team at the intersection of data engineering, MLOps, and robotics.
- Competitive compensation, benefits, and opportunities for technical leadership growth.
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
$158,400.00 - $237,600.00
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.
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Get Access To All JobsTips for Finding AI Data Engineer Jobs at Qualcomm Jobs
Align your portfolio to on-device AI
Qualcomm's AI Data Engineer roles center on edge inference and on-device machine learning pipelines, not just cloud-scale data work. Frame your resume and projects around low-latency data processing, model optimization datasets, or hardware-aware ML workflows before you apply.
Verify your LCA before accepting an offer
Before signing, confirm your employer has filed a certified Labor Condition Application with the DOL for your specific work location. Qualcomm's engineering teams are spread across multiple sites, and your LCA must match the office where you'll actually work.
Target teams sponsoring multiple visa categories
Use Migrate Mate to filter Qualcomm's AI Data Engineer openings by visa type, so you can identify which teams and roles explicitly support the pathway you need, whether that's H-1B, TN, or OPT extension, before investing time in applications.
Prepare your degree equivalency documentation early
Qualcomm's AI Data Engineer roles typically require a degree in computer science, data engineering, or a closely related field. If your credential is from outside the U.S., get a credential evaluation from a NACES-approved agency before your H-1B petition is filed to avoid USCIS RFEs.
Request premium processing at the offer stage
H-1B petitions can take months under regular processing. If you're transitioning off OPT or facing a status gap, ask your Qualcomm recruiter whether the team will elect USCIS premium processing, which reduces adjudication to 15 business days and eliminates most start-date uncertainty.
Understand Qualcomm's PERM timeline if you're planning ahead
Qualcomm sponsors EB-2 and EB-3 Green Cards, but the PERM labor certification process with the DOL takes a year or more before an I-140 petition can even be filed. Raise long-term immigration goals with your hiring manager early so the timeline doesn't catch you off guard.
AI Data Engineer at Qualcomm jobs are hiring across the US. Find yours.
Find AI Data Engineer at Qualcomm JobsFrequently Asked Questions
Does Qualcomm sponsor H-1B visas for AI Data Engineers?
Yes, Qualcomm sponsors H-1B visas for AI Data Engineer roles and has a consistent track record doing so. The company works with immigration counsel to file petitions, handle Labor Condition Applications with the DOL, and support premium processing requests. Sponsorship is tied to specific roles and headcount, so confirm the position includes sponsorship before advancing in the process.
How do I apply for AI Data Engineer jobs at Qualcomm?
Apply directly through Qualcomm's careers portal, where AI Data Engineer roles are posted with sponsorship details. You can also browse and filter Qualcomm's open AI Data Engineer positions by visa type on Migrate Mate, which makes it easier to identify roles that match your specific immigration situation before you apply.
Which visa types does Qualcomm commonly use for AI Data Engineers?
Qualcomm sponsors H-1B and H-1B1 visas for AI Data Engineers as the primary nonimmigrant pathways. F-1 OPT and CPT are supported for students and recent graduates, and TN status is available for Canadian and Mexican nationals in qualifying roles. For long-term immigration, Qualcomm also sponsors EB-2 and EB-3 Green Card petitions for this function.
What qualifications does Qualcomm expect for AI Data Engineer roles?
Qualcomm's AI Data Engineer positions typically require a bachelor's or master's degree in computer science, data engineering, or a related field, plus hands-on experience building data pipelines for machine learning systems. Familiarity with on-device or edge AI frameworks is a differentiator given Qualcomm's product focus. Strong candidates also bring experience with large-scale data infrastructure and experience collaborating with applied ML teams.
How long does the visa sponsorship process take for an AI Data Engineer at Qualcomm?
Timeline depends on the visa category. H-1B regular processing with USCIS takes three to six months after filing, while premium processing reduces that to 15 business days. If you're on OPT, your employer needs to file before your OPT expires to maintain work authorization. Green Card sponsorship through PERM typically takes two or more years from initiation to I-140 approval, not counting priority date wait times.
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