Parallel Computing Engineer IV - ICONMA, LLC
Redmond (onsite), WA 98052
About the Job
Parallel Computing Engineer IV
Location: Redmond (onsite)
Duration: 12 months
Description:
Please prioritize C++/CUDA, parallel computin, and Python. The other skills requested (HPC, SLURM, 3D Math) are now nice-to-haves.*
Client 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 withing 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 defect, and complexity analysis
Top 3 must-have HARD skills:
Modern C++ (19) w/ CUDA
Experience using MPI (message passing interface) and OpenMP - parallelization / distributed computing
Optimizing / refactoring code
As an equal opportunity employer, ICONMA provides an employment environment that supports and encourages the abilities of all persons without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
Location: Redmond (onsite)
Duration: 12 months
Description:
Please prioritize C++/CUDA, parallel computin, and Python. The other skills requested (HPC, SLURM, 3D Math) are now nice-to-haves.*
Client 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 withing 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 defect, and complexity analysis
Top 3 must-have HARD skills:
Modern C++ (19) w/ CUDA
Experience using MPI (message passing interface) and OpenMP - parallelization / distributed computing
Optimizing / refactoring code
As an equal opportunity employer, ICONMA provides an employment environment that supports and encourages the abilities of all persons without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
Source : ICONMA, LLC