SWE-Machine Learning; Potential Telework
Listed on 2026-10-09
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Software Development
Software Engineer, Machine Learning/ ML Engineer, DevOps, AI Engineer (Applied/Software)
Key Responsibilities
- Collaborate cross-functionally working directly with end users to understand requirements and with researchers to align development with real-world neds.
- Build the CI/CD and packaging around Python on NVIDIA Triton Inference Server, with TensorRT execution providers and Business Logic Scripting (BLS) in-service pipelines.
- Tune pipelines for throughput, and support them through customer transition.
- Review and test software components against design requirements.
- Create comprehensive user documentation and establish deployment best practices.
- Resolve system problem reports and contributes to system design, including hardware/software trade-offs, software reuse, infrastructure-as-code, and requirements analysis from the system level down to individual components.
- Bachelor’s Degree in Computer Science or a related discipline. 14+ years of software engineering experience. Four (4) years of additional software development experience on comparable projects may be substituted for a bachelor's degree.
- Strong Python experience
- Solid understanding of Dev Ops practices and CI/CD pipelines
- Intermediate/Advanced experience with containerization (Docker) container creation and performance optimization
- Beginner/Intermediate experience with orchestration tools such as Kubernetes
- Experience taking projects from prototype to production
- Strong communication skills for technical and non-technical audiences
- Self-motivated with ability to work independently and collaboratively
- Software Development experience: C++, Java, GoLang, CUDA
- Experience supporting production ML systems
- Familiarity with ML domains:
Natural Language Processing, Computer Vision, Automated Speech Recognition, or Video Processing - Knowledge of model formats and optimization (ONNX, TensorRT)
25% telework
The Software Engineer develops, maintains, and enhances complex and diverse software systems (e.g., processing-intensive analytics, novel algorithm development, manipulation of extremely large data sets, real-time systems, and business management information systems) based upon documented requirements. Works individually or as part of a team. Reviews and tests software components for adherence to the design requirements and documents test results. Resolves software problem reports.
Utilizes software development and software design methodologies appropriate to the development environment. Provides specific input to the software components of system design to include hardware/software tradeoffs, software reuse, use of Commercial Off-the-shelf (COTS)/Government Off-the-shelf (GOTS) in place of new development, and requirements analysis and synthesis from system level to individual software components.
- (U) Analyze user requirements to derive software design and performance requirements
- (U) Debug existing software and correct defects
- (U) Provide recommendations for improving documentation and software development process standards
- (U) Design and code new software or modify existing software to add new features
- (U) Integrate existing software into new or modified systems or operating environments
- (U) Develop simple data queries for existing or proposed databases or data repositories
- (U) Write or review software and system documentation
- (U) Serve as team lead at the level appropriate to the software development process being used on any particular project
- (U) Design or implement complex database or data repository interfaces/queries
- (U) Develop or implement algorithms to meet or exceed system performance and functional standards
- (U) Assist with developing and executing test procedures for software components
- (U) Develop software solutions by analyzing system performance standards,…
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