Deep Learning Library GPU Software Development Engineer
The Learning Experience #393 - Santa Clara, California, us, 95053Work at The Learning Experience #393
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Overview
The ideal candidate should be passionate about software engineering and possess leadership skills to drive sophisticated issues to resolution. Able to communicate effectively and work optimally with different teams across AMD.KEY RESPONSIBILITIES:
Work with AMD’s architecture specialists to improve future products.The ideal candidate will be responsible for writing high-performance GPU kernels for AMD’s Composable Kernel (https://github.com/ROCmSoftwarePlatform/composable_kernel): Performance Portable Programming Model for Machine Learning Tensor Operators.They will be developing and optimizing algorithms for new GPU hardware Perform, code reviews, build unit tests, author detailed documentation related to their work, and work with on-site and offshore teams to deliver the software solutions on scheduleThey will play a key role in all phases of the software development including system requirements analysis, coordinating feature design and development across functional and organizational boundaries.
Make sure to read the full description below, and please apply immediately if you are confident you meet all the requirements.Stay informed of software and hardware trends and innovations, especially pertaining to algorithms and architecture.They will design and develop new groundbreaking AMD technologies by participating in new ASIC and hardware bring ups.Debugging/fix existing issues and research alternative, more efficient ways to accomplish the same work, as well as develop technical relationships with peers and partners.PREFERRED EXPERIENCE:
Strong programming skills in C/C++; experience with CUDA programming.Experience or knowledge about BLAS operators and GEMM optimization.Knowledge of Computer Architect and GPU architect.Good teamwork and interpersonal skills required Ability to work independently and within complementary teamsDemonstrate flexibility, strong motivation, and a proven track record of meeting results-oriented deadlinesKnowledge with deep neural network machine learning technologies and modern machine learning programming frameworksExperience working with and developing virtualization containers and package managers for code deploymentAbility to write high quality code with a keen attention to detailExperience with modern concurrent programming and threading APIsExperience with software development processes and tools such as debuggers, source code control systems (GitHub) and performance profilers is a plusEffective communication and problem-solving skillsMotivating leader with good interpersonal skillsACADEMIC CREDENTIALS:
Bachelor’s, Master's or PhD degree in Computer Science, Computer Engineering, Electrical Engineering, or related degree#LI-JG1At AMD, your base pay is one part of your total rewards package. Your base pay will depend on where your skills, qualifications, experience, and location fit into the hiring range for the position. You may be eligible for incentives based upon your role such as either an annual bonus or sales incentive. Many AMD employees have the opportunity to own shares of AMD stock, as well as a discount when purchasing AMD stock if voluntarily participating in AMD’s Employee Stock Purchase Plan. You’ll also be eligible for competitive benefits described in more detail here.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.Deep Learning Library GPU Software Development Engineer Bring your insights on Data, Visualization, Innovation or Business Agility to our community. Let them learn from your experience.To Drive Analytics AdoptionAnd manage change#J-18808-Ljbffr