Lead Engineer – Software Development (Viado Design Suite FPGA EDA)

Experience: 12 years
Location: Hyderabad (On-site/Hybrid as per business need)
Employment Type: Full-time

We are hiring a Lead Engineer to contribute to the Viado Design Suite software development team. The role involves building and improving core software capabilities for an FPGA/Adaptive SoC design IDE with ownership across architecture discussions hands-on development feature delivery and technical leadership.

• Work with software architecture specialists to define and improve next-generation product capabilities

• Collaborate with product management EDA domain experts QA and customer engineering to translate requirements into practical solutions

• Design and implement core algorithms data models and modules across frontend/backend as needed

• Own end-to-end feature delivery: specification development integration testing and release

• Drive engineering excellence via code reviews technical coaching refactoring unit testing and CI/CD practices

• Mentor and grow engineers through guidance feedback and best-practice adoption

• 12 years of strong object-oriented software development experience (C/C preferred)

• Proven ability to deliver high-quality maintainable code with attention to detail

• Strong background in concurrent programming and threading concepts/APIs

• Experience using standard development tools such as debuggers profilers and source control (Git/GitHub)

• Strong problem-solving communication and cross-functional collaboration skills

• Leadership experience mentoring engineers and driving technical standards

• Understanding of FPGA flows and/or exposure to EDA tools (synthesis place & route simulation verification)

• Experience contributing to large-scale IDE/platform products or performance-critical systems
  
  Skills Required

1. C (modern C) production-grade development

2. Object-Oriented Design (OOD/OOP) and design patterns

3. Concurrent programming (multithreading synchronization lock-free/atomic concepts)

4. Debugging expertise (gdb/lldb or equivalent; root-cause analysis in complex systems)

5. Performance profiling & optimization (CPU/memory profilers bottleneck analysis)

6. Data structures & algorithms (complexity performance-aware implementation)

7. Git / GitHub workflows (branching PRs reviews traceability)

8. End-to-end feature ownership (spec implementation integration testing release)

9. Unit testing practices (testable design automation mindset)

10. Technical leadership (mentoring code reviews engineering best practices)

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