Overview
On Site
USD 142,940.00 per year
Full Time
Skills
Innovation
Management
Artificial Intelligence
Embedded Systems
FPGA
x86
Debugging
Research
Object-Oriented Programming
C
C++
Python
LLVM
Computer Hardware
Machine Learning (ML)
PyTorch
Attention To Detail
Concurrent Programming
Thread
Software Development
GitHub
Effective Communication
Conflict Resolution
Problem Solving
Computer Science
Computer Engineering
Electrical Engineering
Military
Law
Recruiting
Job Details
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:
AMD is looking for a motivated engineer to join a core team of incredibly talented industry specialists working on developing a cutting-edge machine learning model compiler targeting AMD AIE in Ryzen AI PC and embedded FPGA devices. The compiler needs to take a model in ONNX or PyTorch and produce optimized control and executable code for AIE VLIW processor array. Additionally, the compiler needs to handle partitioning between x86/embedded processor/FPGA fabric and AIE and generate code to interface with AMD AIE specific runtime and driver.
THE PERSON:
The ideal candidate should be passionate about software development. The candidate should be able to communicate effectively and work optimally with different teams across AMD.
KEY RESPONSIBILITIES:
PREFERRED EXPERIENCE:
ACADEMIC CREDENTIALS:
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.
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:
AMD is looking for a motivated engineer to join a core team of incredibly talented industry specialists working on developing a cutting-edge machine learning model compiler targeting AMD AIE in Ryzen AI PC and embedded FPGA devices. The compiler needs to take a model in ONNX or PyTorch and produce optimized control and executable code for AIE VLIW processor array. Additionally, the compiler needs to handle partitioning between x86/embedded processor/FPGA fabric and AIE and generate code to interface with AMD AIE specific runtime and driver.
THE PERSON:
The ideal candidate should be passionate about software development. The candidate should be able to communicate effectively and work optimally with different teams across AMD.
KEY RESPONSIBILITIES:
- Integrate compiler and compiled model with ML Frameworks (such as ONNX and PyTorch)
- Implement model partitioning in ML Frameworks and/or MLIR
- Implement runtime to distribute work to and collect results from x86 cores and AIE cores
- Design and develop new groundbreaking AMD technologies
- Debug and fix existing issues and research alternative, more efficient ways to accomplish the same work
PREFERRED EXPERIENCE:
- Strong object-oriented programming background, C/C++ and Python
- ML Compiler and Runtime technologies such as MLIR, LLVM
- Compiler building skills
- Code generation for a ML hardware accelerator
- Machine Learning concepts and model development experience
- Understanding of ONNX, PyTorch, etc.
- Ability to write high quality code with a keen attention to detail
- Experience with modern concurrent programming and threading APIs
- 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
ACADEMIC CREDENTIALS:
- Master's or PhD degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.