Machine Learning SOC Engineer

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.Machine Learning SOC Engineer Responsibilities

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

Minimum Qualifications

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

Preferred Qualifications

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

For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
142.000 $/year to 203.000 $/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
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