Machine Learning SOC Engineer

Summary:

Meta is seeking a highly skilled Machine learning SOC Engineer with experience in Runtime and firmware development. As a key member of our engineering team, you will be responsible for designing, developing, and maintaining the host runtime, device drivers, APIs, and libraries to enable seamless interaction between the host runtime environment and various processing units. Your experience will enable us to streamline our Architecture validation and ensure the optimal performance of our AI Accelerator.

Required Skills:

Machine Learning SOC Engineer Responsibilities:

1. Design and develop the host runtime environment for heterogeneous computing systems, ensuring efficient communication and data transfer between different processing units.
2. Develop and implement device drivers, APIs, and libraries to enable seamless interaction between the host runtime environment and various processing units.
3. Collaborate with hardware engineers to understand the architecture of heterogeneous computing systems and optimize the host runtime environment accordingly.
4. Work closely with application developers to ensure that the host runtime environment meets their requirements and provides optimal performance for their applications.
5. Participate in code reviews, and stay up-to-date with industry trends and emerging technologies.
6. Troubleshoot and debug issues, working closely with hardware engineers and application developers to resolve problems.

Minimum Qualifications:

Minimum Qualifications:

1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
2. 3+ years of experience in development in the area of heterogeneous computing or high-performance computing.
3. Programming skills in languages such as C , Rust, and Python.
4. Experience with runtime development, device driver development, API design, and library implementation.
5. Problem-solving skills to analyze complex technical issues and develop effective solutions.
6. Communication and collaboration skills to work effectively with cross-functional teams.

Preferred Qualifications:

Preferred Qualifications:

1. Knowledge of computer architecture, operating systems, and parallel programming models (e.g., OpenMP, MPI).
2. Familiarity with heterogeneous computing platforms, such as NVIDIA CUDA, OpenCL, or AMD ROCm.
3. Experience with object oriented, trait oriented and functional programming
4. Knowledge of machine learning frameworks, such as TensorFlow or PyTorch.
5. Experience with agile software development methodologies and version control systems, such as Git, Mercurial.
6. Familiarity with modern build tools like Bazel, Buck, CMake etc.

Public Compensation:

$142,000/year to $203,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at .