Software Engineer, Systems ML - HPC Specialist

Meta is seeking an AI Software Engineer to join our Research & Development teams.
The ideal candidate will have industry experience working on AI Infrastructure related topics.
The position will involve taking these skills and applying them to solve for some of the most crucial & exciting problems that exist on the web.
Some aspects of this role as an HPC specialist may include authoring components such as cuBLAS, cuDNN, AITemplate, FlashAttention and development of runtimes such as LLM disaggregated runtime.
HPC specialists spend time optimizing the program to reduce the accelerators idle time.
They also develop tools to debug (cuda-gdb), profiler utilizing the accelerated computing hardware (such as PE’s/SFU etc in MTIA or Transformer engine in H100).
They are experts in systems who are able to design, debug and accelerate AI workloads from single-node scale up to multi-node scale out distributed systems.
They also are able to influence the next generation of Silicon architectures (such as Tensor Core in V100.
Transformer Engine in H100) based on the evolving AI workload needs.
We are hiring in multiple locations.
Software Engineer, Systems ML - HPC Specialist Responsibilities: Apply relevant AI and machine learning techniques to build & optimize our intelligent systems that improve Metas products and experiences Develop custom/novel architectures, define use cases, and develop methodology & benchmarks to evaluate different approaches Apply in depth knowledge of how the machine learning system interacts with the other systems around it Drive large efforts across multiple teams Assist in goal setting related to project impact, AI system design, and ML excellence Mentor other AI Engineers & improve the quality of AI work in the broader team Minimum Qualifications: Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
4+ years of experience in HPC and parallel computing.
Proficiency in GPU programming using CUDA and familiarity with CUDA libraries (cuBLAS, cuDNN, etc.
).
Proven track record of leading successful HPC projects.
Proven technical expertise in HPC architectures and technologies.
Effective leadership and communication skills.
Preferred Qualifications: PhD in Computer Science, Computer Engineering, or relevant technical field.
Experience developing AI algorithms or AI-System infrastructure in C/C++ or Python.
Experience with distributed systems or on-device algorithm development.
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.
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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 accommodations-ext@fb.
com.