Lead Software Engineer
About The Position
At CableLabs we wake up every day to invent the future. CableLabs is a global, award-winning innovation and R&D lab dedicated to keeping people connected by building and orchestrating emergent technology and igniting co-innovation today for the broadband of tomorrow. The Lead Architect position resides in the Future Infrastructure Group at CableLabs. This department drives research and development activities focused on future access network technologies and virtualized infrastructure. Our team plays a crucial role in delivering software and infrastructure innovations that benefit the cable industry, with particular emphasis on Network Evolution, Platform Evolution, Reliability & Experience and Differentiated Services. CableLabs is seeking a Lead Software Developer to help design and build next-generation AI-driven network platforms. This role will focus on developing systems that enable real-time intelligence across broadband networks, supporting initiatives such as AI interoperability, Model Context Protocol (MCP), agentic workflows, embodied AI, and session automation. You will work at the intersection of software engineering, AI systems, and network infrastructure. We are looking for a software engineer capable of building platforms that transform network components into intelligent, data-driven systems capable of detecting, analyzing, and resolving impairments in real time.
Requirements
- 7+ years of software development experience, with demonstrated technical leadership
- Strong proficiency in Python and Go
- Experience designing and working with databases (SQL and NoSQL) and large-scale data systems
- Experience building distributed systems and microservices architectures
- Solid understanding of data structures, algorithms, and system design
- Experience working with real-time data pipelines and streaming technologies
- Familiarity with cloud-native development (containers, Kubernetes, etc.)
- Experience integrating APIs and working with service-oriented architectures
- Experience with Git workflows. (Gitlab/Github)
Nice To Haves
- Experience with AI/ML systems, including LLM-based applications and agentic workflows
- Familiarity with Model Context Protocol (MCP) or similar frameworks for tool and agent integration
- Experience with orchestration frameworks (e.g., LangChain, Ray, or similar)
- Knowledge of additional languages such as Rust, Java, or TypeScript
- Experience with telemetry, observability, or analytics platforms
- Experience processing and analyzing time-series data
- Experience developing documentation using AsciiDoc, Mermaid or other related tooling.
- Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
Responsibilities
- Lead the design and development of scalable software reference implementations for AI-driven network intelligence
- Build and optimize backend systems using Python and Go for high-performance, distributed environments
- Develop and integrate agentic workflows leveraging MCP and emerging AI interoperability frameworks
- Design data pipelines to ingest, process, and analyze real-time telemetry from network and application layers
- Implement systems that correlate application KPIs with network telemetry to enable closed-loop automation
- Collaborate with cross-functional teams to prototype and deploy embodied AI solutions across edge and core environments
- Contribute to the development of APIs and frameworks that support federated developer platforms and NaaS capabilities
- Ensure software reliability, scalability, and observability across distributed systems
- Mentor engineers and provide technical leadership across projects
Benefits
- Compensation: The salary range is $135,200 - $165,360. This position is eligible for bonus incentive compensation up to 20% of base salary.
- Health Benefits: Comprehensive healthcare coverage including medical, dental, vision insurance. Access to flexible spending and health savings accounts with employer HSA contribution.
- Retirement Benefits: Competitive 401(k) retirement plan with an employer match up to 6% plus an ADDITIONAL 8% contribution to 401(k) which becomes fully vested after only two years of employment.
- Work-Life Balance: Flexible work arrangements, Unlimited PTO, 11 paid holidays, 100% paid family and medical leave.
- To learn more and discover additional benefits, read our Employee Benefits Guide.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
Number of Employees
1-10 employees
