Submitting more applications increases your chances of landing a job.
Here’s how busy the average job seeker was last month:
Opportunities viewed
Applications submitted
Keep exploring and applying to maximize your chances!
Looking for employers with a proven track record of hiring women?
Click here to explore opportunities now!You are invited to participate in a survey designed to help researchers understand how best to match workers to the types of jobs they are searching for
Would You Be Likely to Participate?
If selected, we will contact you via email with further instructions and details about your participation.
You will receive a $7 payout for answering the survey.
General Summary:
As a leading technology innovator, Qualcomm pushes the boundaries of what’s possible to enable next-generation experiences and drive digital transformation toward a smarter, more connected future.
As a Staff Software Engineer in the Machine Learning Group, you will design and build high-performance, scalable software systems that enable efficient execution of state-of-the-art machine learning and generative AI workloads on Snapdragon platforms for Windows and Linux.
This role focuses on the development of the Qualcomm Orchestrator SDK and associated tooling, enabling AI orchestration, agentic workflows, and optimized inference across heterogeneous compute resources (CPU, GPU, NPU, DSP). You will act as a senior technical contributor with ownership over architecture, platform enablement, and cross-team technical execution.
Minimum Qualifications:
Key Responsibilities
Design, develop, and maintain AI orchestration frameworks, runtime engines, and SDK tools for Windows and Linux platforms.
Enable execution of modern ML and GenAI workloads, including multi-model and agentic workflows, on Snapdragon-based systems.
Architect and implement workflow scheduling, execution graphs, resource management, and model coordination across heterogeneous hardware.
Drive SDK feature development, platform enablement, and performance improvements for Windows and Linux.
Optimize ML inference pipelines for latency, throughput, memory efficiency, and power consumption.
Collaborate closely with AI software, platform, hardware, and tools teams to deliver end-to-end solutions.
Define and influence SDK architecture, public APIs, and developer-facing interfaces.
Provide technical leadership through design reviews, code reviews, and mentorship of other engineers.
Make high-impact technical decisions affecting multiple projects and stakeholders.
Minimum Qualifications
8+ years of industry experience in software engineering.
5+ years of system-level software development on Linux and/or Windows platforms.
Strong proficiency in C/C++ for production-quality, performance-critical software.
Solid understanding of data structures, algorithms, and modern software design principles.
Experience with Windows system and application development, including:
Build systems and toolchains
DLLs and shared libraries
Application, framework, and runtime integration within the Windows stack
Ability to work independently with minimal supervision in complex and ambiguous problem spaces.
Strong verbal and written communication skills, with the ability to convey complex technical concepts to engineers and senior stakeholders.
Preferred Qualifications
Platform & Systems Expertise
Windows OS development: 5+ years of experience in Windows system software, core OS applications, framework integration, or low-level platform components.
Strong experience developing cross-platform software for Windows and Linux using C/C++.
Expertise with build and packaging systems such as CMake, Ninja, Bazel, and MSBuild.
Experience with runtime systems, plugin architectures, and modular SDK design.
Machine Learning & GenAI Systems
Hands-on experience deploying and orchestrating LLMs, LMMs, LVMs, and LoRA-based adaptations.
Experience with ML inference and runtime frameworks, such as:
SNPE, QNN, LiteRT, ExecuTorch, MLIR, ONNX Runtime
Understanding of model graph execution, runtime optimization, and scheduling.
Familiarity with model optimization techniques including quantization, pruning, and graph transformations.
Performance & Hardware Acceleration
Experience optimizing software for heterogeneous compute architectures (CPU, GPU, NPU, DSP).
Strong understanding of parallelism, memory management, and low-latency system design.
Exposure to GPU or accelerator programming concepts and performance analysis tools.
Software Engineering Excellence
Experience using Python and/or Java for tooling, automation, testing, or orchestration layers.
Knowledge of CI/CD pipelines, automated testing, and release engineering for SDKs.
Advanced debugging skills across system, runtime, and application layers.
Understanding of secure software development practices, ABI/API stability, and backward compatibility.
Data & Infrastructure
Experience with data storage and retrieval systems, including:
Vector databases (Faiss or similar)
SQLite, MongoDB, and other NoSQL solutions
Familiarity with logging, telemetry, and observability in large-scale systems.
Leadership & Technical Depth
Demonstrated ability to contribute to commercial-grade software architecture and long-term platform strategy.
Up-to-date knowledge of trends in:
Agentic AI systems
Generative AI/ML inference
ML systems and runtime optimization
Strong ownership, self-motivation, and ability to lead through influence rather than authority.
Education Requirements
Required
Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.
Preferred
Advanced degree (Master’s or PhD) in a relevant discipline.
Applicants: 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).
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.
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.
If you would like more information about this role, please contact Qualcomm Careers.
You'll no longer be considered for this role and your application will be removed from the employer's inbox.