Experienced Software Engineer for Physical AI

Nice to Have

• Experience with AI compiler technologies such as IREE, XLA or TVM.
• Understanding of AI frameworks and interchange formats such as PyTorch, TensorFlow, TFLite and ONNX, including graph conversion and deployment flows.
• Experience with performance analysis, benchmarking and optimization of compute-intensive workloads.
• Working knowledge of low-precision inference, quantization, tensor layouts, operator fusion and hardware-aware optimization.
• Familiarity with agile development, CI/CD, automated testing, build systems and collaborative engineering tools.
• Project management skills, including the ability to innovate, execute solutions that matter and navigate ambiguity.
• Strong planning and organizational skills.
• Expected Salary Range 94.348,80 € - 141.523,20 € The exact Salary will be determined based on qualifications, experience and location.
• If you need a reasonable accommodation for any part of the employment process, please contact us by email at usaccommodations@gf.com and let us know the nature of your request and your contact information.
• Requests for accommodation will be considered on a case-by-case basis.
• Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.
• An offer with GlobalFoundries is conditioned upon the successful completion of pre-employment conditions, as applicable, and subject to applicable laws and regulations.
• GlobalFoundries is fully committed to equal opportunity in the workplace and believes that cultural diversity within the company enhances its business potential.
• GlobalFoundries goal of excellence in business necessitates the attraction and retention of highly qualified people.
• Artificial barriers and stereotypic biases detract from this objective and may be illegally discriminatory.
• All policies and processes which pertain to employees including recruitment, selection, training, utilization, promotion, compensation, benefits, extracurricular programs, and termination are created and implemented without regard to age, ethnicity, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, sexual orientation, gender identity or expression, veteran status, or any other characteristic or category specified by local, state or federal law