Job Information
Meta Senior Software Engineer, Systems ML - AI Application Engineering in Oslo, Norway
Summary:
The HEART AI Application Engineering team is seeking an AI Software Engineer to join our team. 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 some of the most crucial and exciting problems that exists on the web.
Required Skills:
Senior Software Engineer, Systems ML - AI Application Engineering Responsibilities:
Apply in depth knowledge of AI infrastructure and hardware acceleration techniques to build and optimize our intelligent machine learning systems that improve Meta’s product and experiences
Set direction and goals for the team related to project impact, AI system design, infrastructure, and developer efficiency
Directly or influencing partners to deliver impact through deep, thorough data-driven analysis
Define use cases and develop methodology and benchmarks to evaluate different strategies
Lead large and complex technical efforts across many engineers and teams
Mentor other engineers, research scientists and improve the quality of engineering work in the broader team
Helps onboard new team members, provides mentorship, and enables successful ramp up on the team's code base
Minimum Qualifications:
Minimum Qualifications:
Bachelor’s degree in computer science or a related STEM field
Specialized experience in one or more of the following machine learning/deep learning domains: hardware accelerator architectures, machine learning compilers or ML systems, AI infrastructure, high-performance computing, performance optimizations or ML frameworks such as PyTorch
Proven C/C++ and Python programming skills in developing AI Systems infrastructure or AI algorithms
Experience with debugging in C++, Python and/or PyTorch
Defining and leading long-term plans for the team
Track record of mentoring and growing other engineers
Preferred Qualifications:
Preferred Qualifications:
Master's degree/PhD in computer science or related STEM field and strong experience in AI framework development or accelerating deep learning models on hardware architectures
Knowledge of AI hardware accelerator architectures and CPUs
Experience with recommender and ranking models
Experience with distributed systems and communication protocols such as MPI
Experience with CUDA/OpenMP/OpenCL programming targeting AI hardware accelerators. Experience in accelerating libraries on AI hardware, like cuBLAS, cuDNN, CUTLASS, HIP, ROCm etc.
Technical leadership experience
Industry: Internet
Meta
- Meta Jobs