DevOps / ML-Ops Engineer

About the Role

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.

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, including 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.

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 managing 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 and Python.
• Experience in networking and dealing with firewall, VLAN, and network configuration tools.
• A demonstrated ability in provisioning hardware and information systems and helping define new hardware and computing system requirements.

Preferred Qualifications

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

Benefits

• Competitive salaries and benefits.
• Employee stock option grant program.
• Opportunity to work in an environment transforming and disrupting signal processing with AI/ML.
• Welcoming and inclusive workplace culture.
• Flexible schedule and great work/life balance.
• Encouragement for participation in scientific publications, conferences, and open-source software.

DeepSig is an equal-opportunity employer dedicated to cultivating an inclusive, diverse, and engaging workplace where individuals feel fulfilled, inspired, and motivated.