DevOps / ML-Ops Engineer

DeepSig Inc • Arlington, VA

3m • Hybrid

About The Position

DeepSig is defining the future of wireless communications by merging deep learning with the Radio Access Network (RAN). We are seeking an experienced DevOps Engineer to work with engineering and QA teams to automate and optimize software and ML model development and validation, supporting existing and upcoming product lines, web applications, and strategic initiatives in 5G and “FutureG” programs. In this role, you will be a key contributor to expanding DevOps capabilities as our organization grows. Your responsibilities will include the research, design, development, procurement, provisioning, maintenance, and optimization of DevOps systems leveraging a mix of on-premise and cloud infrastructure.

Requirements

• Candidates must be authorized to work in the United States by US citizenship to meet certain information processing and contract requirements
• Hands-on experience developing, deploying and ongoing management of source code repositories, CI/CD infrastructure, artifact and package storage, and compute infrastructure with tools such as: AWS, GitLab, MinIO, Nexus, Conan, PyPI, Docker, Slurm, MLFlow, Optuna, Prometheus, Grafana, Terraform
• Experience with modern Ubuntu/Debian Linux, containerization services, virtualization technologies, backup solutions, and automation using scripting languages such as: BASH, Python
• Experience in networking and dealing with firewall, VLAN and network configuration tools
• A demonstrated ability in provisioning hardware and information systems and helping do system engineering to help define new hardware and computing system requirements

Nice To Haves

• Experience achieving and maintaining compliance with cyber security standards such as SSDF.
• Hand-on experience optimizing CI jobs and infrastructure, especially GitLab.
• Experience with build systems, especially CMake.
• This opportunity is ideal if you possess experience in or a strong enthusiasm for AI/ML, high-performance computing, SIGINT, SDR, FPGA, or wireless technology.

Responsibilities

• System Architecture: Architect infrastructure to support the needs of internal engineering/QA teams, as well as commercial and DoD partners. Develop a plan to extend infrastructure both on-premise and in the cloud. Includes CI/CD, data storage, compute resources (CPU/GPU), and job orchestration.
• Engineering and Operations: Manage the full lifecycle of production systems, from initial system development and deployment to ongoing operation and maintenance ensuring availability requirements. Includes specifying, procuring, and provisioning hardware as necessary.
• Optimization: Optimize the utilization of CI/CD and compute infrastructure in collaboration with engineering and QA teams. Identify and address performance bottlenecks.

Benefits

• competitive salaries and benefits
• an employee stock option grant program
• an environment where we are excited to be transforming and disrupting how signal processing is done with AI/ML
• a welcoming and inclusive environment
• a flexible schedule
• a great work / life balance

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed