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# Systems Engineer, Data Center AI

- **Company:** Qualcomm
- **Location:** San Diego, CA, United States (Remote available)
- **Salary:** $111,300.0 - $166,900.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Systems Engineering, Architectural Patterns, Profiling, Code Review, Information Systems, Data Centers, Microprocessors, Distributed Systems, Github, Python (Programming Language), Machine Learning, Open Source Technology, Tensorflow, Reinforcement Learning, Graphics Processing Unit (GPU), Gerrit, Pytorch, Large Language Models, Deep Learning, Caching, Parallel Computation, Generative AI, Gitlab, Git, Containerization, Kubernetes, Information Technology, Deployment Automation, Hardware Acceleration, Machine Learning Operations, Stable Diffusion, Software Version Control, Docker, Microservices
- **Published:** July 24, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=297fae0710cb42ca

## About the Role

* Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience., Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field., * Strong proficiency in Python, and ML frameworks (PyTorch, TensorFlow).

 * Deep understanding of ML development, deployment and applications.
 * Deep understanding of system performance profiling and parallel computing., * Master's or PhD Degree in Engineering, Information Systems, Computer Science, Physics or related field
 * Good understanding of GenAI architectures from transformers, diffusion, hybrid - LLMs, LVMs, embeddings
 * Working experience with fine-tuning GenAI models and Reinforcement Learning
 * Background in compiler optimizations for ML workloads is a plus
 * Experience with architectural Patterns for Large-Scale AI Systems: Knowledge of microservices, and distributed systems
 * Optimize inference performance across heterogenous nodes CPUs, GPUs, and specialized accelerators
 * Experience in implementing caching, batching, and parallelization strategies for high-throughput systems.
 * Familiarity with hardware acceleration
 * Proficiency with version control systems (Git) and code review tools (Gerrit, GitHub, GitLab) and collaborative development workflows
 * Well versed with open-source development practices
 * Understanding of MLOps for AI application development and deployments is a plus
 * Experience with automation tools like GitOps, containerization technologies (Docker, Kubernetes), ML lifecycle management tools is a plus
 * Experience with rack-level orchestration tools and data center automation is a plus
 * Experience working in a large matrixed organization, * Bachelor's degree in Engineering, Computer Science, Information systems or related field and 6+ years of related work experience.
 * OR
 * Master's degree in Engineering, Computer Science, Information systems or related field and 4+ year of related work experience.
 * OR
 * PhD in Engineering, Computer Science, or related field.

## Description

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all.

As a Qualcomm Datacenter AI Systems Engineer, you will research, develop, optimize, and validate software, hardware, architecture, algorithms, and machine learning solutions that enable the deployment of cutting-edge AI datacenter technology.

Qualcomm Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards. This is a great opportunity to innovate and develop leading-edge products and solutions around best-in-class Qualcomm AI inference accelerators for data center, and hybrid AI applications., * Develop AI/ML solutions that bring together Qualcomm AI hardware products, technologies, software, and ecosystem and provide best-in-class AI inference performance, power efficiency and scalability

 * Assist in the design, development, implementation and deployment of Gen AI and LLM applications
 * Contribute towards implementing fine tuning and distillation techniques
 * Apply Systems knowledge and experience to research, design, develop, simulate, and/or validate systems-level software, AI hardware, architecture, deep learning algorithms, and AI solutions while ensuring system-level requirements and standards are met
 * Perform AI model benchmarking and functional analysis to drive requirements and specifications
 * Propose deployment strategies with AI model/workload optimization and deployment
 * Build AI solutions and develop and analyze system level design including requirements, interface definition, functional/performance definition, and implementation of a new system or modification of an existing system
 * Collaborate with own team and other teams to complete project work, including implementing and testing features and verifying the accuracy of AI systems
 * Keep abreast with the latest advancements in the AI/ML space (models, HW/SW) and drive innovative solutions.
 * Develops new and innovative ideas for a product or feature area
 * Drives triage of problems at the system level to determine root cause and presents results of testing and debugging to team members.


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