Machine Learning - Senior Software Engineer - C++, Docker, CUDA

Erias Ventures • Annapolis Junction, MD

15h • $215,000 - $238,000

About The Position

We're seeking a Software Engineer to bridge the critical gap between cutting-edge ML research and production-ready solutions. You'll transform research prototypes into robust, deployable systems that end users can confidently put into production. This role uniquely combines software engineering, DevOps practices, and ML solution delivery. Productionize ML Research: Transform research code and prototypes from our ML team into reliable, scalable solutions ready for end-user deployment Build Diverse Solutions: Develop applications and services in C++, Java, or Python; create gRPC-based containerized solutions with clients in Java, Python, or GoLang Own the Delivery Pipeline: Design and maintain CI/CD pipelines, ensuring smooth deployment from development to production Deploy ML Infrastructure: Configure and optimize containers using NVIDIA Triton Inference Server for high-performance inference Performance Engineering: Profile, tune, and optimize solutions for production workloads Documentation & Best Practices: Create comprehensive user documentation and establish deployment best practices Collaborate Cross-Functionally: Work directly with end users to understand requirements and with researchers to align development with real-world needs This job also offers telework once the candidate is familiar with the environment

Requirements

• Fourteen (14) years' experience as a SWE in programs and contracts of similar scope, type, and complexity is required.
• Bachelor’s degree in Computer Science or related discipline from an accredited college or university is required.
• Four additional (4) years of SWE experience on projects with similar software processes may be substituted for a bachelor’s degree.
• A current Top-Secret/SCI with polygraph security clearance is required. Candidates cannot be sponsored or nominated for a government security clearance under this position.
• Solid understanding of DevOps practices and CI/CD pipelines
• Experience with containerization (Docker) and orchestration (Kubernetes)
• Experience with machine learning frameworks (PyTorch preferred)
• Prior work in ML engineering or ML infrastructure
• Ability to write clean, maintainable code with strong software engineering fundamentals
• 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

Nice To Haves

• Familiarity with ML domains: Natural Language Processing, Computer Vision, Automated Speech Recognition, or Video Processing
• Knowledge of model formats and optimization (ONNX, TensorRT)
• Protocol Buffers (protobuf) and gRPC
• NVIDIA technologies (CUDA, TensorRT, Triton Inference Server)
• Signal processing techniques and libraries
• Performance profiling and optimization tools
• Experience supporting production ML systems
• Background in high-performance computing and/or GPU programming

Responsibilities

• Transform research code and prototypes from our ML team into reliable, scalable solutions ready for end-user deployment
• Develop applications and services in C++, Java, or Python; create gRPC-based containerized solutions with clients in Java, Python, or GoLang
• Design and maintain CI/CD pipelines, ensuring smooth deployment from development to production
• Configure and optimize containers using NVIDIA Triton Inference Server for high-performance inference
• Profile, tune, and optimize solutions for production workloads
• Create comprehensive user documentation and establish deployment best practices
• Work directly with end users to understand requirements and with researchers to align development with real-world needs

Benefits

• Erias Ventures provides a complete package of wealth, health, and happiness benefits.
• The expected salary range for this position, depending on education and years of experience is $215,000 - $238,000.
• Wealth Benefits: Above Market Hourly Pay 11% Roth or Traditional 401k with Immediate Vesting and Deposit Spot Bonuses for Assisting with Business Development and Company Growth Professional Development Bonuses for Certificates and Degrees
• Health Benefits: Company subsidized Medical Coverage 100% Company Paid Vision and Dental Coverage 100% Company Paid Long Term Disability , Short Term Disability , and Group Life Insurance Monthly Wellness Reimbursement
• Happiness Benefits: Paid Time Off with Flexible Work Schedules and Birthday Off Amazon Prime Membership and Monthly Internet Reimbursement Technology and Productivity Allowance for Equipment and Supplies Morale Building and Company Events to Celebrate our Successes and Build our Community Onboarding and Annual Swag Company Paid Professional Development and Training

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level