AI Performance Engineer (Cloud AI Engineering), Sr | Staff | Sr. Staff - Cork, Ireland

Nutanix; Cork; On-site; EUR 90,000 - 150,000; Full time

Benefits offered by this job

Stock options

Performance bonus

Relocation support

Healthcare

Job summary

Qualcomm Ireland is seeking an AI Performance Engineer to join its Cloud AI Engineering group in Cork. You will work across the full product lifecycle from R&D to deployment, converting and optimizing models for efficient inference using PyTorch and ONNX.

The role emphasizes transformer architectures, performance analysis, and collaboration with internal teams to scale workloads on current and future hardware.

Qualifications

• Bachelor's or higher in Engineering/CS or related field with several years in software/ML.
• Proven experience building/optimizing language models in production environments.
• Strong knowledge of transformer architectures and accuracy-performance trade-offs.

Responsibilities

• Convert, optimize and deploy models for efficient inference using PyTorch and ONNX.
• Analyze and optimize LLM/VLM/diffusion models for throughput and latency.
• Map AI workloads to current and future hardware designs with parallelism strategies.
• Collaborate with compiler, firmware and platform teams to deliver solutions.
• Develop high-level kernels, e.g. in Triton, for efficient low-level code.

Skills

Python

PyTorch

ONNX

Transformers

Performance optimization

C++

Java

Deep Learning

Education

MS in CS/ML

PhD in CS/ML

Tools

Triton

torch.compile

Job description

Company:QT Technologies Ireland LimitedJob Area:Engineering Group, Engineering Group > Software EngineeringGeneral Summary:AI Performance Engineer (Cloud AI Engineering)Qualcomm is utilizing its traditional strengths in digital wireless technologies to play a central role in 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 are hiring an AI Performance Engineers at multiple levels to join our dynamic, collaborative team. This role spans the full product lifecycle—from cutting-edge research and development to commercial deployment—and demands strategic thinking, strong execution, and excellent communication skills.This role involves the following activities:Convert, optimize and deploy models for efficient inference using PyTorch , ONNX .Work at the forefront of GenAI by understanding advanced algorithms ( e.g. attention mechanisms, MoEs ) and numerics to identify new 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, firmware and 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 will demonstrate the following:Hands-on experience in building and optimizing language models, notably in PyTorch , ONNX, preferably in production-grade environments.Deep understanding of transformer architectures, attention mechanisms and 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-memory processing and distributed systems.Strong communication , problem-solving skills and ability to learn and work effectively in a fast-paced and collaborative 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.compile or torchDynamo .PhD in Computer Science, Computer Engineering or Machine LearningWhere you will be workingCork 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 OpportunitiesWe 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 OfferApart from working in an open, relaxed and collaborative space, you will enjoy:Salary, stock and performance related bonusMaternity/Paternity LeaveEmployee stock purchase schemeMatching pension schemeEducation AssistanceRelocation and immigration support (if needed)Life, Medical, Income and Travel InsuranceSubsidised memberships for physical and mental well-beingBicycle purchase schemeEmployee run clubs, including, running, football, chess, badminton + many moreMinimum Qualifications:• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.ORMaster's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.ORPhD 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 [e-mail] 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 .