SAIC
Senior Python Programmer
SAIC, Princeton, New Jersey, us, 08543
Description
SAIC is seeking an experienced Senior Python Programmer to support our customer, NOAA GFDL, in Princeton, NJ. This position requires an ability to obtain a Public Trust and is hybrid remote with work at the local customer site (3 times weekly). Desired physical location is in the Princeton, NJ or surrounding area.
The Senior Python Programer responsibilities include, but are not limited to:
Utilizing significant experience with Python Programming language, provide software development and support for various Scientific ApplicationsProvide performance optimization for high-performance computing (HPC) architecturesProvide GPU programmingExperience with version control tools, such as GITSupport the investigation and debugging of incidents, installation, modification or manipulation of codeWorking independently, with little direction to balance and prioritize work based stakeholder need and mission objectiveEnsure the security and documentation of applications throughout the development and deployment lifecycleParticipate in software requirements, code reviews, and test plan reviewsEnsure clear and thorough code and design documentationQualifications
Required Qualifications:
A Master's degree in Computer Science, Information Systems, Engineering, Business, or other related scientific or technical discipline.Eight years of experience in determining information technology effects on the organizational structure and determining the ability that IT can support/meet organizational goals:
With a Ph.D. (in the fields described above): six years of specialized experience.With a Bachelor's degree (in the fields described above): ten years of specialized experience.
Ability to obtain and maintain a Public Trust clearance which requires US Citizenship.Expert in Python Programmin.Professional knowledge in one or more physical science fields.Experience with debugging, version control, and documentation.Experience with HPC and GPU programming.Ability to work independently and self direct work.Impeccable communication skills.Desirable Skills:
Object-Oriented Python Programming.Domain Specific Languages.
Program and Project Details:
The Flexible Modeling System (FMS), is a software framework for supporting the efficient development, construction, execution, and scientific interpretation of atmospheric, oceanic, and climate system models. It was developed at the Geophysical Fluid Dynamics Laboratory. The FMS is the Earth System Modeling (ESM) framework used at GFDL. The framework supports the multi-physics model components (e.g. atmosphere dynamical core, atmospheric physics, ocean dynamical core and physics, land model, ice model, etc). The FMS core is written primarily in modern Fortran with some elements in C and C++. The core supplies various services that enable grid based domain decomposition, MPI and OpenMP based inter-processor communication, parallel I/O, model diagnostics generation, etc. Importantly, various grids are employed within a single model across the model component space (e.g. "cubed-sphere" for the atmosphere and "tripolar" for the ocean).
SAIC accepts applications on an ongoing basis and there is no deadline.
Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.
SAIC is seeking an experienced Senior Python Programmer to support our customer, NOAA GFDL, in Princeton, NJ. This position requires an ability to obtain a Public Trust and is hybrid remote with work at the local customer site (3 times weekly). Desired physical location is in the Princeton, NJ or surrounding area.
The Senior Python Programer responsibilities include, but are not limited to:
Utilizing significant experience with Python Programming language, provide software development and support for various Scientific ApplicationsProvide performance optimization for high-performance computing (HPC) architecturesProvide GPU programmingExperience with version control tools, such as GITSupport the investigation and debugging of incidents, installation, modification or manipulation of codeWorking independently, with little direction to balance and prioritize work based stakeholder need and mission objectiveEnsure the security and documentation of applications throughout the development and deployment lifecycleParticipate in software requirements, code reviews, and test plan reviewsEnsure clear and thorough code and design documentationQualifications
Required Qualifications:
A Master's degree in Computer Science, Information Systems, Engineering, Business, or other related scientific or technical discipline.Eight years of experience in determining information technology effects on the organizational structure and determining the ability that IT can support/meet organizational goals:
With a Ph.D. (in the fields described above): six years of specialized experience.With a Bachelor's degree (in the fields described above): ten years of specialized experience.
Ability to obtain and maintain a Public Trust clearance which requires US Citizenship.Expert in Python Programmin.Professional knowledge in one or more physical science fields.Experience with debugging, version control, and documentation.Experience with HPC and GPU programming.Ability to work independently and self direct work.Impeccable communication skills.Desirable Skills:
Object-Oriented Python Programming.Domain Specific Languages.
Program and Project Details:
The Flexible Modeling System (FMS), is a software framework for supporting the efficient development, construction, execution, and scientific interpretation of atmospheric, oceanic, and climate system models. It was developed at the Geophysical Fluid Dynamics Laboratory. The FMS is the Earth System Modeling (ESM) framework used at GFDL. The framework supports the multi-physics model components (e.g. atmosphere dynamical core, atmospheric physics, ocean dynamical core and physics, land model, ice model, etc). The FMS core is written primarily in modern Fortran with some elements in C and C++. The core supplies various services that enable grid based domain decomposition, MPI and OpenMP based inter-processor communication, parallel I/O, model diagnostics generation, etc. Importantly, various grids are employed within a single model across the model component space (e.g. "cubed-sphere" for the atmosphere and "tripolar" for the ocean).
SAIC accepts applications on an ongoing basis and there is no deadline.
Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.