Machine Learning SOC Engineer

Meta; Sunnyvale (CA); On-site; USD 142,000 - 203,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta is seeking a Machine Learning SOC Engineer to design and develop runtime environments for heterogeneous computing systems. The role involves collaboration with hardware engineers and application developers, focusing on optimizing performance and ensuring seamless interaction between processing units. Ideal candidates have strong programming skills and experience in high-performance computing.

Qualifications

• 3+ years of experience in heterogeneous computing or high-performance computing.
• Experience with runtime development and API design.

Responsibilities

• Design and develop the host runtime environment for heterogeneous computing systems.
• Collaborate with hardware engineers to optimize the host runtime environment.

Skills

C++

Rust

Python

Problem-solving

Communication

Education

Bachelor's degree in Computer Science

Tools

NVIDIA CUDA

OpenCL

TensorFlow

PyTorch

Git

Bazel

Buck

CMake

Job description

Join to apply for the Machine Learning SOC Engineer role at Meta

Join to apply for the Machine Learning SOC Engineer role at Meta

This range is provided by Meta. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$142,000.00/yr - $203,000.00/yr

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.
  
  

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.

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 [e-mail].

$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.

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Technology, Information and Internet

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