Role Description This job focuses on leading QA strategies and working with development for product excellence. It entails writing test plans and managing execution. Deep product and system knowledge is required for effective QA. The role improves testing methods and joins design reviews. Contributions to QA innovation and mentoring junior engineers are key. About the Role We’re seeking a Principal AI & Automation Engineer to lead the evolution of our next-generation quality engineering platform. This role is ideal for a highly experienced engineer who can architect intelligent, self-adaptive test automation frameworks for cloud-native, microservices-based broadband systems. You will combine deep automation expertise, modern software architecture, and AI/ML-driven testing approaches to transform complex system requirements into scalable, resilient, and insight-driven quality solutions. As a technical leader, you will drive autonomous testing strategies, enabling faster releases, higher reliability, and continuous quality validation across DOCSIS and PON features on vCMTS ecosystem. What You’ll Do - Architect and build scalable, modular, and AI-augmented test automation frameworks supporting functional, integration, and performance testing. - Design self-healing and adaptive test systems using AI/ML techniques (e.g., anomaly detection, flaky test prediction, intelligent test selection). - Implement shift-left and shift-right QA strategies, embedding quality across the entire SDLC and production monitoring pipelines. - Develop data-driven and model-based testing approaches, leveraging telemetry, logs, and production data to improve test coverage and accuracy. - Lead automation efforts for cloud-native, microservices-based DOCSIS/PON platforms, ensuring high availability and performance at scale. - Collaborate with engineering, product, and QA teams to translate requirements into intelligent, reusable automation assets. - Integrate QA deeply into DevOps/MLOps pipelines, enabling continuous testing, validation, and feedback loops. - Drive Core Virtualization and network validation initiatives, applying advanced simulation, traffic modeling, and AI-assisted diagnostics. - Build tools for predictive quality analytics, identifying risks and failure patterns before they impact production. - Troubleshoot complex distributed systems using advanced observability, AI-assisted root cause analysis, and debugging techniques. - Mentor engineers on modern QA practices, Python architecture, and AI-driven test automation strategies. Qualifications - Strong track record of building enterprise-grade, extensible automation frameworks. - Strong proficiency in Linux/Ubuntu environments, CLI tooling, and automation scripting (Python, Go, Shell scripting). - Hands-on experience with traffic generation and network test tools (e.g., IXIA, ByteBlower) and simulation platforms. - Ability to analyze packet captures, simulate network conditions, and validate end-to-end system performance at scale. - Familiarity with observability stacks (logs, metrics, tracing) and applying them to quality engineering. - Strong experience with CI/CD pipelines (Jenkins, GitLab CI) and version control (Git), with emphasis on continuous testing and quality gates. - Experience integrating AI/ML into QA workflows, such as: - Intelligent test case generation - Test optimization and prioritization - Flaky test detection and self-healing frameworks - Anomaly detection in logs, metrics, and network traffic Additional Nice to Have - Familiarity with observability stacks (logs, metrics, tracing) and applying them to quality engineering. - Experience with Kubernetes, Docker, and cloud-native test environments, including ephemeral and scalable test infrastructure. - Good understanding of networking protocols and systems (TCP/UDP, BGP, ISIS, HTTP/S, multicast, switching/routing). - Deep expertise in software architecture and design patterns (OOP, microservices architecture) applied to test systems. - Experience with data engineering concepts (test data pipelines, telemetry ingestion) and exposure to MLOps workflows is a plus. Benefits - Medical & Dental - 401(k) Savings Plan - Generous paid time off - Life Milestones - from adoption assistance, childcare resources, pet insurance, and more, Comcast supports you at all life stages. - Courtesy Services - We offer all of our full-time employees in serviceable areas free digital TV and internet. - Discount tickets for Universal Resorts, including theme park tickets and onsite hotel rooms. Education - Bachelor's Degree (preferred, but Comcast may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience). Relevant Work Experience - 10 Years +

Role Description Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Expert Software Engineer – Scala / Kotlin / OCaml Type: Contract Compensation: $120–200/hour Location: Remote Commitment: 20–40 hours/week Role Responsibilities - Evaluate technical tasks in Scala, Kotlin, or OCaml against real-world professional standards. - Review intricate code-level situations and provide precise, structured written assessments. - Work inside containerized repositories using Docker to run and interpret programmatic and CI-style checks. - Provide clear written rationales explaining expert judgments. - Complete well-defined, time-bounded tasks with explicit evaluation criteria. Qualifications - Must-Have: 5+ years of professional software engineering in Scala, Kotlin, or OCaml. - Comfort working in Docker/CI-based repo environments. - Ability to articulate clearly why code is correct or idiomatic in writing. - Preferred: Engineers from top product, data, or research engineering backgrounds. Requirements - Hourly contractor. Application Process - Upload resume. - AI interview based on your resume. - Submit form. Resources & Support - For details about the interview process and platform information, please check: Interview Process . - For any help or support, reach out to: support@mercor.com . PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Role Description - Evaluate technical tasks using your COBOL and/or ABAP expertise to ensure alignment with professional standards. - Review intricate code-level situations and provide precise, structured written assessments. - Work in Docker-based environments, interpreting programmatic and CI-style checks to assess engineering environments. - Provide clear written rationales explaining your expert judgments. - Complete well-defined, time-bounded tasks with explicit evaluation criteria. Qualifications - Must-Have: - 8+ years of professional development in COBOL or ABAP. - Experience with IBM mainframe (z/OS) or SAP R/3 or S/4HANA. - Comfort working in Linux/Docker-based environments. - Ability to articulate code correctness and idiomatic practices clearly in writing. - Preferred: - Background in banking, insurance, enterprise ERP, or government systems. Requirements - Hourly contractor. - Paid weekly via Stripe Connect. Application Process - Upload resume. - AI interview based on your resume. - Submit form. Resources & Support - For details about the interview process and platform information, please check: Interview Process . - For any help or support, reach out to: support@mercor.com . - Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Role Description Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Expert Hardware / RTL Engineer – SystemVerilog / Verilog Type: Contract Compensation: $110–190/hour Location: Remote Commitment: 20–40 hours/week Role Responsibilities - Apply RTL expertise to evaluate technical tasks against real-world professional standards. - Review intricate code-level situations and provide precise, structured written assessments. - Work inside Docker-based repositories, running and interpreting programmatic and CI-style checks to ensure a sound engineering environment. - Provide clear written rationales explaining your expert judgments. - Complete well-defined, time-bounded tasks with explicit evaluation criteria. Qualifications - Must-Have: 5+ years of professional or research RTL experience in SystemVerilog or Verilog. - Hands-on depth in RTL design, testbench/UVM verification, FPGA or ASIC work, and EDA toolchains (Vivado, Quartus, Synopsys, Cadence). - Comfort working in Linux/Docker-based repo environments and reading automated/CI checks. - Ability to articulate not just what code does but why it's correct or idiomatic, clearly in writing. - Preferred: Engineers from semiconductor, telecom, defense/aerospace, national-lab, or academic backgrounds. Requirements - Hourly contractor - Paid weekly via Stripe Connect Application Process - Upload resume - AI interview based on your resume - Submit form Resources & Support - For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome - For any help or support, reach out to: support@mercor.com - Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.