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Описание вакансии
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TL;DR
Software Engineer (ML): Productionizing machine learning research prototypes into deployable, scalable solutions with an accent on software engineering, DevOps, and high-performance inference. Focus on building containerized gRPC services, designing CI/CD pipelines, optimizing NVIDIA Triton deployments, and tuning production workloads.
Location: Annapolis Junction, Maryland, United States; on-site / remote. Telework is available once familiar with the environment.
Salary: $210,000–$230,000 per year
Company
Customer-focused technology company delivering innovative solutions for complex mission requirements through multidisciplinary technical teams.
What you will do
- Transform machine learning research code and prototypes into reliable, scalable production systems.
- Develop applications and services in C++, Java, or Python.
- Build containerized gRPC solutions with Java, Python, or Go clients.
- Design and maintain CI/CD pipelines for development-to-production delivery.
- Configure and optimize NVIDIA Triton Inference Server deployments for high-performance inference.
- Profile and tune production workloads, write user documentation, and collaborate with end users and ML researchers.
Requirements
- Current Top Secret/SCI security clearance with polygraph is required.
- U.S. work authorization and eligibility to maintain the required government clearance are required; clearance sponsorship or nomination is not available.
- Seven years of software engineering experience on programs or 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 in place of the degree.
- Experience with TypeScript, JavaScript, CSS, Vue, React, Vite, Node, NPM, and Git.
- Experience developing production software, CI/CD pipelines, containerized services, and ML deployment infrastructure.
Nice to have
- Experience with video playback technologies such as HTML5 video, Vidstack, video.js, HLS, or DASH.
Culture & Benefits
- Creative problem-solving, open communication, employee empowerment, and a technically strong, growth-oriented environment.
- Flexible work schedules, paid time off, and birthday leave.
- Immediate-vesting 11% Roth or traditional 401(k) contribution.
- Company-subsidized medical coverage and company-paid vision, dental, disability, and life insurance.
- Professional development, training, certificate and degree bonuses, technology allowances, wellness reimbursement, and internet reimbursement.
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