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Software Development Engineer (Machine learning and Graphics)
The Role
AMD is looking for a strategic ML Research engineer who is passionate about
creating new algorithms with GPUs on image processing, rendering. 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.
More about the ARR team: Advanced Rendering Research Group – AMD GPUOpen
The Person
The ideal candidate should be passionate about Machine Learning and software
engineering and possess skills to drive innovation and research, , able to
communicate effectively and work optimally with different teams across AMD.
Person will be part of the Advanced Rendering Research team and has the
following:
Key Responsibilities
* Expertise in Machine Learning, particularly focused on Model Creation and
Model Architecture, including advanced techniques such as deep learning,
reinforcement learning, and generative models.
* Strong proficiency in Python programming for implementing machine learning
algorithms, data preprocessing, and model evaluation.
* Ability to work with D3D12
* Comprehensive understanding of general software development workflows,
including version control systems like Git, build automation tools like
CMake, and continuous integration (CI) pipelines.
* Proficient in English, with excellent written and verbal communication skills
for collaborating with team members and presenting findings or proposals.
* Collaborate with cross-functional teams including data scientists, engineers,
and domain experts to understand requirements, develop prototypes, and deploy
production-ready machine learning solutions.
* Research and stay up-to-date with the latest advancements in machine learning
algorithms, frameworks, and tools, incorporating best practices into model
development and architecture design.
* Optimize machine learning models for deployment on various platforms
including cloud infrastructure, edge devices, and embedded systems, balancing
performance, resource constraints, and scalability requirements.
* Conduct thorough experiments and evaluations to assess model performance,
reliability, and robustness, employing techniques such as hyperparameter
tuning, cross-validation, and A/B testing.
* Document code, methodologies, and findings comprehensively, ensuring
reproducibility and knowledge sharing within the team and across the
organization.
* Mentor junior team members, providing guidance on machine learning concepts,
programming techniques, and software development practices to foster skill
development and team growth.
Preferred Experience
* Extensive knowledge and hands-on experience in machine learning, with a track
record of successfully creating and optimizing machine learning models for
various application especially around ML Model Architectures.
* Demonstrated expertise in designing efficient and scalable model
architectures tailored to specific problem domains or computational
resources.
* Familiarity with 3D graphics and ray tracing techniques using GPU Compute and
popular graphics APIs such as Direct3D, Vulkan, OpenGL, OpenCL, CUDA, and
HIP.
* Ability to write high-quality, maintainable code with meticulous attention to
detail, ensuring robustness and performance optimization.
* Experience with modern concurrent programming paradigms and threading APIs to
develop parallel and distributed machine learning algorithms efficiently.
* Proficiency in both Windows and Linux operating system development
environments, including experience with system-level programming and
optimization.
* Familiarity with software development processes and tools such as debuggers,
source code control systems (e.g., GitHub), and performance profilers,
providing insights into code behavior and performance bottlenecks.
* Strong programming skills in C++ for implementing performance-critical
components of machine learning frameworks or applications.
* Effective communication and problem-solving skills, with the ability to
articulate complex technical concepts to both technical and non-technical
stakeholders.
* Demonstrated leadership qualities and interpersonal skills, capable of
motivating and guiding team members to achieve project goals effectively.
Academic Credentials
* Master’s degree or PhD in Computer Science, with a focus on areas such as
Mathematics, Machine Learning, Computer Engineering, or related fields,
providing a solid theoretical foundation for advanced machine learning
research and development.
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.
