Company:
Qualcomm Technologies, Inc.Job Area:
Engineering Group, Engineering Group > Software EngineeringGeneral Summary:
We’re seeking a skilled Software Developer to design and build generalized AI-driven solutions, such as Retrieval-Augmented Generation systems, Agent orchestration frameworks, that harness our AI accelerator chips. You’ll work with Rust and Python to develop robust, scalable applications, leveraging your expertise in AI, large language models (LLMs), neural networks, and databases. This role requires a strong background in AI application development and a passion for staying current with the latest advancements in the AI landscape.
Minimum Qualifications:
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Engineering or related work experience.OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Software Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
• 3+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
Key Responsibilities
- Design and develop generalized AI solutions, including RAG systems, to enhance user capabilities with our AI accelerators.
- Build high-performance, scalable applications using Rust for systems-level efficiency and Python for rapid prototyping and integration.
- Integrate and optimize large language models (LLMs) and neural network architectures into production-ready software.
- Collaborate with cross-functional teams to define requirements and implement AI-driven features.
- Work with databases (e.g., SQL, NoSQL) to manage and retrieve data efficiently for AI applications like RAG.
- Stay informed on the latest trends in AI, LLMs, neural networks, and related technologies to drive innovation.
- Write clean, maintainable, and well-documented code adhering to best practices.
- Troubleshoot and optimize AI applications for performance, reliability, and scalability.
- Contribute to the creation of reusable libraries and frameworks for AI development.
What We’re Looking For
- Experience building AI applications, with a focus on practical, production-grade solutions.
- Strong proficiency in Rust for performance-critical systems and Python for AI development and scripting.
- Solid understanding of large language models (LLMs), their mechanics, and their real-world applications.
- Familiarity with neural network architectures and how they power modern AI systems.
- Experience with conventional databases and vector databases (e.g., PostgreSQL, MongoDB, OpenSearch, Qdrant).
- Good grasp of Retrieval-Augmented Generation (RAG) and latest AI Agent frameworks.
- Ability to stay current with the fast-evolving AI landscape, including advancements in LLMs and neural networks.
- Strong problem-solving skills and a creative approach to building generalized solutions.
- Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
Nice-to-Haves
- Experience with AI frameworks like TensorFlow, PyTorch, or Hugging Face Transformers.
- Familiarity with hardware-accelerated AI (e.g., GPUs, TPUs, or custom accelerators, FPGAs).
- Prior work with APIs or microservices for AI integration.
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:
$162,600.00 - $244,000.00The 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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