AMD

ML SDK SW Development Engineer

Canada
USD 101k - 145k
TensorFlow Machine Learning C++ Python Shell Bash PyTorch
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Description
WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ THE ROLE: This is a position within the AI GPU Sofware Group (AGS) responsible for AMD's ML SDK initiatives, including GitHub community support, ROCm documentation, and profiling tools development. We have a unique role where the candidate will get a chance to work on GitHub community support. The candidate will get a chance to work with the GitHub community users and internal ROCm component teams to debug and fix reported issues. Please note - This is an Onsite role as the hiring team will require the candidate to work in the Markham office. THE PERSON: We are seeking outstanding engineers with a passion for Machine Learning & AI. Someone who can work optimally with different teams across AMD. KEY RESPONSIBILITIES: Support ROCm issues reported by GitHub community end users Triage and Debug ROCm SW stack, collaborating with engineering teams across AMD to resolve these issues Ability to customize and fine tune ROCm to meet customer needs Co-development work with engineering teams on new features requested by community end users and Tier 1 customers Stay informed of software and hardware trends and innovations PREFERRED EXPERIENCE: Solid knowledge of C/C++, Linux, Python, Shell/BASH, and debugging skills Strong experience in GPU programming using AMD ROCm/OpenCL/ONNX or CUDA Knowledge of GPU and CPU pipeline, parallelism, cache, and other performance factors Strong knowledge of AI frameworks like PyTorch, TensorFlow, ONNXRuntime Excellent verbal communication and written, presentation skills Excellent interpersonal, organizational, analytical, planning, and technical leadership skills Experience working in a fast-paced matrixed technical organization and multi-site environment Customer support experience a bonus ACADEMIC CREDENTIALS: Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent #LI-CJ3 #LI-Onsite Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

THE ROLE: This is a position within the AI GPU Sofware Group (AGS) responsible for AMD's ML SDK initiatives, including GitHub community support, ROCm documentation, and profiling tools development. We have a unique role where the candidate will get a chance to work on GitHub community support. The candidate will get a chance to work with the GitHub community users and internal ROCm component teams to debug and fix reported issues. Please note - This is an Onsite role as the hiring team will require the candidate to work in the Markham office. THE PERSON: We are seeking outstanding engineers with a passion for Machine Learning & AI. Someone who can work optimally with different teams across AMD. KEY RESPONSIBILITIES: Support ROCm issues reported by GitHub community end users Triage and Debug ROCm SW stack, collaborating with engineering teams across AMD to resolve these issues Ability to customize and fine tune ROCm to meet customer needs Co-development work with engineering teams on new features requested by community end users and Tier 1 customers Stay informed of software and hardware trends and innovations PREFERRED EXPERIENCE: Solid knowledge of C/C++, Linux, Python, Shell/BASH, and debugging skills Strong experience in GPU programming using AMD ROCm/OpenCL/ONNX or CUDA Knowledge of GPU and CPU pipeline, parallelism, cache, and other performance factors Strong knowledge of AI frameworks like PyTorch, TensorFlow, ONNXRuntime Excellent verbal communication and written, presentation skills Excellent interpersonal, organizational, analytical, planning, and technical leadership skills Experience working in a fast-paced matrixed technical organization and multi-site environment Customer support experience a bonus ACADEMIC CREDENTIALS: Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent #LI-CJ3 #LI-Onsite

Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

Tags: No, CAD $101,640.00/Yr., CAD $145,200.00/Yr., Canada Careers (External)
AMD
AMD
Cloud Computing Computer Embedded Systems GPU Hardware Semiconductor

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