R&D Software Engineer

2 days ago

Bengaluru, Karnataka, India Synopsys Inc Full time ₹ 8,00,000 - ₹ 15,00,000 per year

You'll join the Formality R&D team—an enthusiastic, creative, and highly skilled group of engineers focused on developing world-class formal verification tools. The team collaborates closely, values technical mentorship, and is driven by a shared mission to advance the capabilities of digital SOC chip design

Job description:

  • Designing and developing advanced algorithms for formal equivalence checking in complex digital SOC designs.
  • Architecting innovative solutions to enhance runtime, memory efficiency, and supporting state-of-the-art synthesis optimizations.
  • Collaborating with a dynamic R&D team to develop, prototype, and deliver high-quality EDA tools for Formality.
  • Engaging in technical mentoring, sharing expertise, and guiding junior engineers to elevate overall team performance.
  • Interacting with global customers across computing, AI, automotive, and mobile industries to understand their needs and deliver tailored solutions.
  • Applying formal verification strategies, distributed computing, and machine learning techniques to solve industry-leading challenges.
  • Contributing to the enhancement of existing engines, creation of new algorithms, and deployment of innovative AI/ML technologies.
  • Ensuring timely delivery of high-quality software, aligned with customer requirements and product roadmaps.

What You'll Need:

  • BS/BE degree in Electrical or Computer Engineering (or related field) with at least 4 years of relevant experience.
  • Proficiency in software development using C or C++.
  • Strong grasp of data structures, algorithms, heuristics, and their practical applications.
  • Experience in formal verification, synthesis techniques, and equivalence concepts.
  • Knowledge of solver algorithms such as SAT or BDD, and familiarity with regression testing and software design processes.
  • Hands-on experience with Verilog, VHDL, and System Verilog.
  • Understanding of distributed processing, big data, and machine learning techniques is a plus.
  • Demonstrated ability to work with complex legacy code bases and learn new technologies quickly.

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