
QT Technologies Ireland Limited
Engineering Group, Engineering Group > Software Engineering
General Summary:
AI Performance Engineer (Cloud AI Engineering)
Qualcomm isutilizingits traditional strengths in digital wireless technologies to playa central rolein the evolution of Cloud AI. We are investing in several supporting technologies including Deep Learning. The Qualcomm Cloud AI team is developing hardware and software solutions for Inference Acceleration.
We arehiring an AIPerformance Engineers at multiple levels to join our dynamic, collaborative team.This role spans the full product lifecycle—fromcutting-edgeresearch and development to commercial deployment—and demands strategic thinking, strong execution, and excellent communication skills.
This role involves the following activities:
Convert,optimizeand deploy models for efficient inference usingPyTorch, ONNX
Work at the forefront ofGenAIby understanding advanced algorithms (e.g.attention mechanisms,MoEs) andnumericstoidentifynew optimization opportunities
Performance analysis and optimization of LLM, VLM, and diffusion models for inference. Scale performance for throughput and latency constraints.
Mapping the next generation AI workloads on top of current and future hardware designs.
Work closely with customers to drive solutions by collaborating with internal compiler,firmwareand platform teams.
Analyze complex performance or stability issues to work towards final root cause of underlying problems
Create engineering solutions to deliver continuous insights into performance of AI workloads guiding the improvements over time
Design and implement high-level kernels,e.g.in Triton, with a focus on generating efficient, low-level code.
Candidates for this position willdemonstratethe following:
Hands-on experience in building andoptimizinglanguage models, notably inPyTorch, ONNX, preferably in production-grade environments.
Deep understanding of transformer architectures, attentionmechanismsand performance trade-offs.
Experience in workload mapping strategies exhibiting sharding or various parallelisms
Strong Python programming skills
Proactive learning about the latest inference optimization techniques
Understanding of computer architecture, ML accelerators, in-memoryprocessinganddistributedsystems.
Strong communication, problem-solvingskillsand ability to learn and work effectively in a fast-pacedandcollaborative environment
MS in Computer Science, Machine Learning, Computer Engineering or Electrical Engineering
Bonus Skills:
Background in neural network operators and mathematical operations, including linear algebra and math libraries
Understanding of machine learning compilers
Experience in converging accuracy and its evaluation methods
Knowledge of torch.compileortorchDynamo
PhD in Computer Science, Computer EngineeringorMachine Learning
Where you will be working
Cork has a proud reputation as Ireland's second largest economic engine and is now one of the Top 20 location choices in Europe with 39,000 people being employed by over 170 overseas companies.
There's a growing diversity in the region with people from many nationalities relocating to Cork, relishing the opportunity to work and live in a location that offers an excellent quality of life.
A gateway to Europe, Cork airport provides access to almost 50 international destinations including transatlantic air routes.
Equal Opportunities
We are an Equal Opportunity employer; all qualified applicants will receive consideration for employment without regard to race, colour, religion, sexual orientation, gender identity, national origin, disability, veteran status, or any protected classification.
What's on Offer
Apart from working in an open, relaxed and collaborative space, you will enjoy:
Salary, stock and performance related bonus
Maternity/Paternity Leave
Employee stock purchase scheme
Matching pension scheme
Education Assistance
Relocation and immigration support (if needed)
Life, Medical, Income and Travel Insurance
Subsidised memberships for physical and mental well-being
Bicycle purchase scheme
Employee run clubs, including, running, football, chess, badminton + many more
Minimum Qualifications:
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
• 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
*References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
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 AgenciesOur 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

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