Software Engineer Jobs in Chandler, AZ

Develop C# desktop applications (WinForms) and MS Excel plugins, write scripts, collaborate with technical customers, follow Agile processes, implement functional modules, code to requirements, and track/resolve software defects.

Manage relationships with EDA vendors (Synopsys, Mentor, Ansys, Cadence), coordinate tool deliverables and roadmaps to align with PDK releases, resolve tool defects, coordinate with internal design automation teams, and report status to Intel Custom Foundry stakeholders.

Design and execute validation tests for pre- and post-silicon products, develop test plans and automation in CI, triage and debug hardware/software issues, and report quality metrics to stakeholders while collaborating with cross-functional teams.

Manage relationships and deliverables with EDA vendors (Synopsys, Mentor, Ansys, Cadence); align tool roadmaps with PDK releases; coordinate vendor deliverables with internal design automation teams; resolve tool defects; report status to stakeholders; interface with process, design and DA teams; provide technical leadership and project execution; produce documentation and presentations.

Develop customer-directed desktop applications using C# and C++, focusing on WinForms and Excel plugin development. Work in Agile teams to gather requirements, plan modules, write code, script automation, coordinate with other developers, and track/resolve defects. Exposure to EDA tools (Cadence Allegro, Mentor Graphics Expedition) is a plus. Position is a short-term (3 month) contract starting ASAP.

Design and maintain robust CI/CD pipelines, manage integrations with large customer repositories, develop full-stack software, provision cloud infra with Terraform, and implement scalable data pipelines. Learn and apply PySpark, modern data architecture, and AI/agentic tools (Claude, Cursor) to automate and accelerate engineering workflows.

Work directly with clients to design, build, and deploy end-to-end production software and AI solutions. Lead solution architecture across backend, frontend, data pipelines, and ML models; develop production-grade applications; engage stakeholders from engineers to executives; and contribute reusable frameworks and best practices.