Data Engineer Jobs in San Diego, CA
Data Engineer jobs in San Diego are in strong demand, concentrated in Sorrento Valley, UTC, and downtown's East Village across defense tech, biotech, and enterprise software. Leading companies such as Northrop Grumman, Apple, and ServiceNow are actively hiring across cloud infrastructure, pipeline engineering, and analytics. Find a role that fits below and apply directly.
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Company:
Qualcomm Technologies, Inc.Job Area:
Engineering Group, Engineering Group > ASICS EngineeringGeneral Summary:
We are seeking highly motivated and experienced Design Verification Engineers to join our Data Center SoC Verification team. In this role, you will be responsible for verifying next-generation Data Center SoCs that power AI, high-performance computing, and cloud infrastructure products. You will work closely with architects, design engineers, software teams, and verification specialists to develop scalable verification solutions, drive verification closure, and ensure first-silicon success for complex SoC designs.
This position offers the opportunity to work on cutting-edge technologies including multi-core CPUs, cache coherency systems, memory subsystems, AI/ML accelerators, high-speed interconnects, security, and advanced SoC architecture.
Key Responsibilities:
- Develop and execute comprehensive verification plans for SoC, subsystem, and IP-level features.
- Design and implement scalable System Verilog/UVM-based and Processor-based verification environments.
- Create directed and constrained-random test scenarios to validate functionality and architectural use cases.
- Develop assertions, functional coverage models, and checkers.
- Debug RTL, testbench, and integration issues and work closely with design teams to resolve defects.
- Drive coverage closure using functional and code coverage metrics.
- Participate in architecture and design reviews to ensure verification requirements are incorporated early in the development cycle.
- Verify complex Data Center SoC features including:
- Multi-core CPU systems
- Cache coherency and interconnect fabrics
- DDR/HBM memory subsystems
- PCIe, CXL, Ethernet, and high-speed interfaces
- Security, RAS, and power-management features
- Support emulation and acceleration-based verification when required.
- Contribute to methodology improvements, automation, reusable verification components, and AI-assisted verification flows.
Qualifications
- Bachelor's or master's degree in electrical engineering, Computer Engineering, Computer Science, or related field.
- Minimum 2+ years of design verification experience* Senior positions to be offered to candidates with proven expertise in the relevant field
- Strong knowledge of: System Verilog, UVM, C, Assertion-Based Verification (SVA), Coverage-Driven Verification, System level Use case verification
- Experience developing verification environments from architecture/specification through signoff.
- Strong understanding of computer architecture and digital design fundamentals.
- Experience debugging complex SoC-level issues.
- Excellent communication and collaboration skills.
Preferred Qualifications
- Experience with one or more of the following:
- CPU verification
- Cache coherency protocols (ACE, CHI, CXL)
- DDR or HBM memory systems
- PCIe, Ethernet, or networking protocols
- AI/ML accelerator verification
- Security and RAS feature verification
- System Performance verification
- System Power verification
- ATE and Post Silicon bring up testing
- Experience with:
- Portable Stimulus (PSS)
- Formal Verification
- Emulation platforms (Veloce/Palladium/ZeBu)
- Power-aware verification
- Proficiency in Python or scripting languages for automation.
- AI-assisted verification of workflows and test generation.
- Experience in full-chip or subsystem verification environments.
Preferred Candidate Profile
The ideal candidate is a hands-on verification engineer who is passionate about solving complex technical challenges and delivering high-quality silicon. They should possess strong debugging skills, a solid understanding of SoC architecture, and the ability to thrive in a fast-paced, collaborative environment.
Why Join Us?
You will be part of a team developing next-generation Data Center Solutions -
Qualcomm Dragonfly CPU, Qualcomm High Bandwidth Compute (HBC), Qualcomm Dragonfly AI Inference Accelerator. This involves hardware design verification of advanced CPUs, Memory architecture, AI Accelerators, and high-speed connectivity technologies. This role offers significant growth opportunities while working alongside industry-leading engineers on some of the most challenging SoC verification problems in the semiconductor industry.
Minimum Qualifications:
- Bachelor's degree in Science, Engineering, or related field and 2+ years of ASIC design, verification, validation, integration, or related work experience.
Master's degree in Science, Engineering, or related field and 1+ year of ASIC design, verification, validation, integration, or related work experience.
OR
PhD in Science, Engineering, or related field.
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 :
$115,600.00 - $173,400.00The 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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Find Data Engineer JobsData Engineer Job Market in San Diego
Who's Hiring
- Northrop Grumman87

- Apple66

- ServiceNow66

- Intuit44

- Qualcomm44

Top Industries Hiring
- Electronics & Hardware
- Technology & Software
Data Engineer Jobs in San Diego: Frequently Asked Questions
How do I get a data engineer job in San Diego?
Focus your search on Sorrento Valley, UTC, and the Torrey Pines corridor, where defense contractors, life sciences firms, and SaaS companies cluster their data teams. San Diego's biotech concentration means candidates with experience handling large-scale genomic or clinical datasets stand out. Proficiency in cloud platforms like AWS or Azure and familiarity with Spark or Kafka are strong differentiators in the local market.
Which companies hire data engineers in San Diego?
Employers hiring data engineers in San Diego right now include Northrop Grumman, Apple, and ServiceNow, based on current listings on Migrate Mate as of September 2026. San Diego's hiring base blends large defense and government contractors in the Kearny Mesa area with high-growth biotech and fintech startups along the Torrey Pines and Sorrento Valley corridors.
Are there remote data engineer jobs in San Diego?
Yes, and data engineering is well-suited to remote work given its desk-based, code-heavy nature. About 67% of data engineer openings tied to San Diego are remote or hybrid as of September 2026, reflecting the tech-forward culture of local employers. Pipeline development, cloud architecture, and analytics engineering roles are most commonly offered with flexible or fully remote arrangements.
How can I get a data engineer job in San Diego with little or no experience?
The most realistic entry path in San Diego is targeting junior data analyst or analytics engineer roles at mid-size biotech or SaaS companies in UTC and Sorrento Valley, where teams are small enough to offer cross-functional exposure. UC San Diego extension programs and local data science meetups build both skills and connections. Demonstrating hands-on project work with SQL, Python, and a cloud platform carries significant weight with San Diego hiring managers.
Which industries hire the most data engineers in San Diego?
San Diego data engineer roles concentrate in Electronics & Hardware and Technology & Software, based on current listings on Migrate Mate as of September 2026. Defense and government contracting anchored around Kearny Mesa drives consistent demand, while the region's world-class biotech cluster and a growing fintech scene in downtown San Diego sustain steady hiring across the full data engineering stack.
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