16 часов назад
Software Engineer 2 (ML Deployment)
64 - 120$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer 2 (ML Deployment) (Python/Kubernetes): Moves VISTA video, image, speech, and text analytics models from research prototypes into production inference services with an accent on CI/CD, containerization, and NVIDIA Triton deployment. Focus on tuning pipelines for throughput, building BLS in-service pipelines, supporting customer transition, and resolving system-level software and infrastructure challenges.
Location: Hybrid in Laurel, Maryland, with 25% telework. United States citizenship and an agency-appropriate security clearance, such as active TS/SCI with the required polygraph, are required.
Salary: $64.04–$120.27 per hour, before benefits.
Company
provides technology and software solutions for federal government customers.
What you will do
- Move video, image, speech, and text analytics models from research prototypes to production inference services.
- Build Python CI/CD and packaging workflows for NVIDIA Triton Inference Server, TensorRT execution providers, and Business Logic Scripting pipelines.
- Tune inference pipelines for throughput and support customer transition into production.
- Collaborate with end users and researchers to translate requirements into practical software solutions.
- Review and test software against design requirements, create user documentation, and establish deployment best practices.
- Resolve system problem reports and contribute to system design, infrastructure-as-code, requirements analysis, and hardware/software trade-offs.
Requirements
- TS/SCI security clearance with an agency-appropriate polygraph is required.
- United States citizenship is required due to federal contract requirements.
- Bachelor’s degree in Computer Science or a related discipline, or four additional years of comparable software development experience in lieu of the degree.
- 14+ years of software engineering experience.
- Strong Python skills, DevOps and CI/CD knowledge, and intermediate to advanced Docker experience.
- Beginner to intermediate Kubernetes experience, production deployment experience, and strong communication skills.
Nice to have
- C++, Java, Go, or CUDA development experience.
- Experience supporting production machine learning systems.
- Familiarity with natural language processing, computer vision, automated speech recognition, or video processing.
- Knowledge of ONNX and TensorRT model formats and optimization.
Culture & Benefits
- Automatic contribution of 20% of gross compensation to a fully vested SEP IRA.
- Up to 200 hours of annual paid time off, with flexibility to adjust PTO allocation each year.
- Medical, vision, dental, life, disability, HSA, and supplemental insurance options.
- Employee referral bonuses of up to $10,000 and mobility among supported contracts.
- Team-building events, including monthly lunches, a summer picnic, and an annual holiday party.
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