8 дней назад
Senior Software Engineer (AI/ML)
150 000 - 260 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer (AI/ML): Supporting and scaling the virtual compute and container platforms of the Tactical Edge Platform with an accent on Kubernetes, microservices, DevOps integration, and AI/ML data formats. Focus on containerizing mission applications, integrating software across low- and high-side environments, designing constrained algorithms, and assessing platform performance.
Location: Annapolis Junction, Maryland, United States; work is performed at the contractor facility with partial telework available.
Salary: $150,000–$260,000 per year
Company
designs, develops, produces, and supports unmanned aircraft systems and tactical missile systems for the U.S. Department of Defense and allied military services.
What you will do
- Support, integrate, scale, document, and secure virtual compute and container platforms for the Tactical Edge Platform.
- Develop and maintain containerized capabilities and microservices in service-oriented architectures.
- Integrate DevOps policies throughout the software stack and work with developers on compliant integrations.
- Assess platform performance against required specifications and investigate system performance issues.
- Design, code, modify, test, and integrate software across low-side and high-side environments.
- Develop data interfaces, queries, documentation, algorithms, and lightweight experiments to evaluate new solutions.
Requirements
- Twenty years of software engineering experience on programs and contracts of similar scope, type, and complexity.
- Bachelor’s degree in Computer Science or a related discipline, or four additional years of comparable software engineering experience.
- Experience with software containerization technologies including Kubernetes, K8s, Rancher, or Docker.
- Experience developing and maintaining microservices in a service-oriented architecture and working with varied communications and data formats.
- Deep understanding of AI/ML capabilities and standard model, weight, and data-interchange formats.
- Active TS/SCI clearance with polygraph and eligibility to provide documentation confirming U.S. person status under ITAR/EAR requirements.
Nice to have
- Agile development experience.
- Experience with programmatic data-serving and retrieval APIs.
- DevOps, CI/CD, data science workflows, ETL, or data lake experience.
Culture & Benefits
- Full-time regular employment with partial telework.
- Medical, dental, vision, life, and disability insurance.
- 401(k) matching and company contributions.
- Paid time off, parental leave, company holiday shutdown, and a 9/80 work schedule.
- Professional development and training reimbursement.
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