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Deep Learning Library GPU Software Development Engineer - Kernel Development
THE ROLE:
AMD is looking for an influential software engineer who is passionate about improving the performance of key applications and benchmarks. You will be a member of a core team of incredibly talented industry specialists and will work with the very latest hardware and software technology.
THE PERSON:
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 Machine Learning and Deep Learning Library: MIOpen (https://github.com/ROCmSoftwarePlatform/MIOpen) and Composable Kernel: Performance Portable Programming Model for Machine Learning Tensor Operators
They will be porting 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 schedule
They 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
Stay informed of software and hardware trends and innovations, especially pertaining to algorithms and architecture
Design and develop new groundbreaking AMD technologies
Participating in new ASIC and hardware bring ups
Debugging/fix existing issues and research alternative, more efficient ways to accomplish the same work
Develop technical relationships with peers and partners
PREFERRED EXPERIENCE:
Strong programming skills in C/C++; experience with CUDA programming and CUTLASS preferred Experience with LLVM Compiler, and compiler optimization techniques for GPU computing is preferred.
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 teams
Demonstrate flexibility, strong motivation, and a proven track record of meeting results-oriented deadlines
Knowledge with deep neural network machine learning technologies and modern machine learning
programming frameworks Experience working with and developing virtualization containers and package managers for code deployment
Ability to write high quality code with a keen attention to detail
Experience with modern concurrent programming and threading APIs
Experience with Windows, Linux and/or Android operating system development
Experience with software development processes and tools such as debuggers, source code control systems (GitHub) and profilers is a plus
Effective communication and problem-solving skills
Motivating leader with good interpersonal skills
ACADEMIC CREDENTIALS:
Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent with experience in GPU programming
PhD in Computer Science and related programs with experience in Parallel Computing and GPU Architect
At 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.
At 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 - Kernel Development
THE ROLE:
AMD is looking for an influential software engineer who is passionate about improving the performance of key applications and benchmarks. You will be a member of a core team of incredibly talented industry specialists and will work with the very latest hardware and software technology.
THE PERSON:
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 Machine Learning and Deep Learning Library: MIOpen (https://github.com/ROCmSoftwarePlatform/MIOpen) and Composable Kernel: Performance Portable Programming Model for Machine Learning Tensor Operators
They will be porting 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 schedule
They 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
Stay informed of software and hardware trends and innovations, especially pertaining to algorithms and architecture
Design and develop new groundbreaking AMD technologies
Participating in new ASIC and hardware bring ups
Debugging/fix existing issues and research alternative, more efficient ways to accomplish the same work
Develop technical relationships with peers and partners
PREFERRED EXPERIENCE:
Strong programming skills in C/C++; experience with CUDA programming and CUTLASS preferred Experience with LLVM Compiler, and compiler optimization techniques for GPU computing is preferred.
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 teams
Demonstrate flexibility, strong motivation, and a proven track record of meeting results-oriented deadlines
Knowledge with deep neural network machine learning technologies and modern machine learning
programming frameworks Experience working with and developing virtualization containers and package managers for code deployment
Ability to write high quality code with a keen attention to detail
Experience with modern concurrent programming and threading APIs
Experience with Windows, Linux and/or Android operating system development
Experience with software development processes and tools such as debuggers, source code control systems (GitHub) and profilers is a plus
Effective communication and problem-solving skills
Motivating leader with good interpersonal skills
ACADEMIC CREDENTIALS:
Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent with experience in GPU programming
PhD in Computer Science and related programs with experience in Parallel Computing and GPU Architect