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Qualcomm Research Jobs (NOW HIRING)

Systems Engineer, Sr. Staff

San Diego, CA · On-site

$110K - $151K/yr

Candidate will work closely with Qualcomm's research, development, and standardization engineers. This role requires full-time onsite work in San Diego, CA (5 days per week). Minimum Qualifications ...

Qualcomm Technologies, Inc. Job Area: Engineering Group, Engineering Group > GPU ASICS Engineering General Summary: Qualcomm's GPU Research Team is looking for talented GPU architects to help advance ...

Qualcomm AI Research is looking for world-class researchers in artificial intelligence to join our team. Members of our global team form a multi-disciplinary core research group within Qualcomm which ...

Qualcomm's Applied ML R&D for HW Design team develops ML/AI or algorithmic based design tools which improve the overall chip design process and quality through NRE and/or AuC reduction or performance ...

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Qualcomm Research information

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$11

$34

$67

How much do qualcomm research jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for qualcomm research in the United States is $34.80, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $43.99 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Qualcomm Research Engineer, and why are they important?

To thrive as a Qualcomm Research Engineer, you need a strong background in electrical engineering, computer science, or a related field, often supported by a graduate degree and a solid grasp of algorithms and wireless communication systems. Familiarity with simulation tools (like MATLAB or Python), hardware description languages, and relevant patents or technical publications is highly valued. Creativity, analytical thinking, and effective teamwork are essential soft skills for driving innovation and collaborating on complex projects. These competencies enable engineers to contribute cutting-edge solutions and maintain Qualcomm's leadership in technology development.

What is Qualcomm Research and what do they do?

Qualcomm Research is the research and development division of Qualcomm Incorporated, a leading technology company. The team focuses on pioneering new technologies in wireless communication, artificial intelligence, machine learning, and related fields. Their work helps shape the future of mobile devices, 5G networks, and the Internet of Things by developing innovative solutions and standards. Researchers at Qualcomm Research collaborate with academia, industry partners, and standards bodies to drive technological advancements and bring new products to market.

What are some common challenges faced by professionals working in Qualcomm Research, and how can they be addressed?

Professionals in Qualcomm Research often encounter challenges such as keeping pace with rapidly evolving technologies, balancing long-term innovation with short-term project goals, and collaborating across multidisciplinary teams. Addressing these challenges involves continuous learning, active participation in knowledge-sharing sessions, and effective communication with cross-functional partners. The collaborative and fast-paced environment at Qualcomm provides ample opportunities for growth, but also requires adaptability and a proactive approach to problem-solving.

What is the difference between Qualcomm Research vs Qualcomm Software Engineer?

AspectQualcomm ResearchQualcomm Software Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Computer Science, or related fields; research experience preferredBachelor's or Master's in Computer Science, Software Engineering, or related fields; coding skills essential
Work EnvironmentResearch labs, innovation centers, collaborative research projectsDevelopment teams, product-focused environment, software development lifecycle
Employer & Industry UsagePrimarily in R&D divisions of Qualcomm, focusing on new technologiesAcross Qualcomm's product divisions, focusing on software development and implementation

Qualcomm Research roles focus on innovative research and development in wireless and mobile technologies, often involving experimental projects. Qualcomm Software Engineers work on developing, testing, and maintaining software products for Qualcomm's devices and platforms. While both roles require technical expertise, Research positions emphasize experimentation and new technology exploration, whereas Software Engineering roles focus on practical software development and deployment.

More about Qualcomm Research jobs
What cities are hiring for Qualcomm Research jobs? Cities with the most Qualcomm Research job openings:
What states have the most Qualcomm Research jobs? States with the most job openings for Qualcomm Research jobs include:
Infographic showing various Qualcomm Research job openings in the United States as of May 2026, with employment types broken down into 4% Locum Tenens, 33% As Needed, 8% Full Time, 14% Temporary, 37% Contract, and 4% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $72,378 per year, or $34.8 per hour.
Agentic AI Benchmarking and Evaluation Engineer

Agentic AI Benchmarking and Evaluation Engineer

Qualcomm

San Diego, CA • On-site

Full-time

Posted 18 days ago


Qualcomm rating

9.6

Company rating: 9.6 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

4th of 186 rated software companies


Job description

Company:
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering
General Summary:
Qualcomm AI Research looking for talented ML/AI algorithm evaluation engineers with experience in machine learning to enable embedded GenAI and Agentic AI.
Come join a high-caliber team of engineers building advanced machine learning technology, best-in-class solutions, tools such as AI Model Efficiency Toolkit, and others to enable state-of-the-art networks/systems to run on devices with limited power, memory, and computation.
Join Qualcomm's AI Research team to design and implement highly optimized machine learning solutions for generative AI, in collaboration with a multi-disciplinary team of researchers and engineers.
Responsibilities:
As Agentic AI (GenAI) Benchmarking and Evaluation Engineer, you will work with world-class engineers at Qualcomm Research to evaluate ML software tools and algorithms to ensure they meet quality standards. As a member of our team, you will get a chance to learn latest cutting-edge technologies in machine learning and new emerging applications and participate in each step of the development process and drive quality improvements. You would be porting AI/ML solutions to various platforms and optimize the performance on multiple hardware accelerators (like CPU/GPU/NPU)
You'll collaborate with members of the software teams and plan a comprehensive evaluation approach. You will work with a small team of engineers to implement the evaluation strategy, deciding key performance metrics (KPIs), developing automation, and performing qualitative tests.
You will be responsible for developing a deep understanding of the ML algorithms developed in the project. You will apply tools and algorithms on wide variety of use cases, develop best practices, provide detailed analysis, extend research, and identify areas for further optimization. Perform in-depth benchmarking, and model evaluation, to ensure AI systems meet safety standards.
Required Skills:
  • Exceptional software development skills with excellent analytical, development, and debugging skills.
  • Strong understanding of Machine Learning fundamentals.
  • Understanding of generative AI and its usage in various application
  • Experience with LLM, LVM, LMM models, and other NN architectures.
  • Proficiency in designing, implementing and training ML algorithms in high-level languages/frameworks (PyTorch and TensorFlow).
  • Excellent interpersonal, written, and oral communications skills

Preferred Skills:
  • MS or PhD in Computer Science/Engineering with 2+ years of professional or equivalent experience.
  • 2 years of proven experience in software development for GenAI, machine learning or high-performance computing with strong programming skills in Python and software design.
  • Familiarity with AI agent frameworks (like LangChain, LlamaIndex, Autogen).
  • Experience using/integrating Qualcomm AI Stack products (e.g. QNN, SNPE, QAIRT).
  • Experience with machine learning accelerators, optimizing algorithms for hardware acceleration cores, working with heterogeneous or parallel computing systems.
  • Experience driving cross-functional projects, including close collaboration with AI application teams to translate product needs into evaluation frameworks.
  • Design and develop generalized AI solutions, including RAG systems, to enhance user capabilities with our AI accelerators.
  • Experience in Android/Linux or other embedded systems.

Minimum Qualifications:
• Bachelor's degree in Computer Science, Engineering, Information Systems, 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:
$122,800.00 - $184,200.00
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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About Qualcomm

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Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Our powerful connectivity solutions keep you connected—even in remote areas. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1985