C++/CUDA Parallel Computing and Python Developer

Must Have Skills

• Modern C++ (19) w/ CUDA
• Experience using MPI (message passing interface) and OpenMP - parallelization / distributed computing
• Optimizing / refactoring code

Supplemental Skills, Plusses

• Numerical Method (unicorn)
• Full stack on cluster - bare metal, operating system, drivers, applications (unicorn)
• Physics understanding
• High Performance Computing Optimizations
• Nice to have DSP background (sample rates, digital filters, etc)

Detailed Job Description

*Please prioritize C++/CUDA, parallel computing, and Python. The other skills requested (HPC, SLURM, 3D Math) are now nice-to-haves.* Reality Labs at Meta is seeking a contractor for the role of Parallel Computing Engineer in AR/VR audio to work in our research lab. The job entails supporting the audio research team in achieving their research goals by performing infrastructure and workflow setup/management and implement/optimize research code into massively parallel software suite.

Responsibilities

• Work side by side with research scientists to optimize, solve, and integrate existing or future research
• Create, debug, and optimize core parallel algorithms and data structures within a distributed environment through library development, direct application contributions, and software profiling
• Build software, tools, platforms, infrastructure, and documentation that enable research staff to be more effective and efficient
• Write clean readable code, debug complex problems that span systems, prioritize ruthlessly, and get things done with a high level of efficiency
• Mentor researchers and other team members on software engineering best practices, tips, and techniques
• Collaborate in a team environment across multiple scientific and engineering disciplines, making the architectural tradeoffs required to rapidly deliver software solutions
• Learn constantly, dive into new areas with unfamiliar technologies, and embrace the ambiguity of AR/VR problem solving

Minimum Qualifications Requirements

• Demonstrated proficiency in computational complexity, algorithm design, low level computer architecture, data structures, software design, large-scale C/C++ systems
• 5+ years relevant experience in parallel computing
• 5+ years of experience in C++ (≥ v.11)
• Experience with parallel programming, ideally C/C++ threads, MPI, and OpenMP
• Experience in GPGPU programming, ideally CUDA C/C++, OpenCL, or DirectCompute
• Strong mathematical fundamentals, including linear algebra, computational physics, and numerical methods
• Excellent communication and organization skills, with a logical approach to problem-solving, good time management, and task prioritization skills

Preferred Qualifications

• Good grasp of audio and DSP fundamentals
• Proven experience in scientific computing using Python and/or MATLAB
• 1+ years experience in working with HPC clusters, automation software, and virtualization/containerization (e.g., Kubernetes, SLURM, VMWare)
• Experience in computer graphics algorithms/principles and physics principles (e.g., wave propagation)
• Experience in SQA, formal/empirical Verification of mathematical models, software defects, and complexity analysis