Senior Technical Lead Post Silicon Validation

Job description

The Developer Success Solutions (DSS) team provides development support to software engineering community by managing, maintaining, and troubleshooting internal software applications and tooling. This role is critical in ensuring engineers have the resources and assistance needed to deliver high-quality products efficiently. Key Responsibilities Roles and Responsibilities Support & Troubleshooting Respond to and triage support questions and requests from engineers.Extract and analyze information from log files and other sources to debug issues, identify owners, and determine root causes.Manage and escalate complex support queries, leveraging advanced data tools for in-depth analysis to resolve issues quickly, especially those impacting ML model development cycles. Tooling & Automation Develop basic tools, scripts, and test cases to improve the speed and quality of support.Create debugging scripts and documentation to automate and accelerate support responses.Provide actionable feedback to engineering teams to enhance product reliability and performance. Documentation & Collaboration Collaborate with technical writers to improve documentation in areas covered by support.Contribute to product development by providing insights and suggestions for the product roadmap. Reporting & Insights Produce regular reports for leadership, summarizing program performance and support metrics.Offer data-driven insights and recommendations to inform product development and strategic decisions. Required Skills & Qualifications Programming Experience 3-8 years of hands-on experience in software development using at least two of the following languages: C++, Java, or Python, including development of small to medium-sized applications. Front-End Technologies Experience with at least one front-end web technology (e.g., React, Angular, Vue.js) is preferred. Systems & Databases 2-3 years of experience working with databases and Linux environments. Application/Dev Support Prior experience in application or development support is a plus. Machine Learning & AI Basic understanding of machine learning models and common algorithm types.1–2 years of hands-on experience in at least one area of ML model lifecycle (design, implementation, deployment, training, or testing).Familiarity with high-level building blocks of AI implementation. Skill Requirements Roles and Responsibilities Support & Troubleshooting Respond to and triage support questions and requests from engineers.Extract and analyze information from log files and other sources to debug issues, identify owners, and determine root causes.Manage and escalate complex support queries, leveraging advanced data tools for in-depth analysis to resolve issues quickly, especially those impacting ML model development cycles. Tooling & Automation Develop basic tools, scripts, and test cases to improve the speed and quality of support.Create debugging scripts and documentation to automate and accelerate support responses.Provide actionable feedback to engineering teams to enhance product reliability and performance. Documentation & Collaboration Collaborate with technical writers to improve documentation in areas covered by support.Contribute to product development by providing insights and suggestions for the product roadmap. Reporting & Insights Produce regular reports for leadership, summarizing program performance and support metrics.Offer data-driven insights and recommendations to inform product development and strategic decisions. Required Skills & Qualifications Programming Experience 3-8 years of hands-on experience in software development using at least two of the following languages: C++, Java, or Python, including development of small to medium-sized applications. Front-End Technologies Experience with at least one front-end web technology (e.g., React, Angular, Vue.js) is preferred. Systems & Databases 2-3 years of experience working with databases and Linux environments. Application/Dev Support Prior experience in application or development support is a plus. Machine Learning & AI Basic understanding of machine learning models and common algorithm types.1–2 years of hands-on experience in at least one area of ML model lifecycle (design, implementation, deployment, training, or testing).Familiarity with high-level building blocks of AI implementation. Other Requirements Maximum Salary (US): 148000 Minimum Salary (US): 78000 Apply now Information at a Glance Why HCLTech? At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first. HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion. Compensation and Benefits A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year. 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