Staff Engineer
Bangalore, India
Synopsys Inc
General Information
Job Title Staff Engineer Job ID 9841 Country India City Bangalore Date Posted 28-Feb-2025 Job Category Engineering Job Subcategory Engineering Hire Type Employee Remote Eligible NoDescriptions & Requirements
Job Description and Requirements Job Summary:We are looking for a highly skilled Software Engineer who can design, develop, and optimize high-performance software applications using C/C++. The ideal candidate will have a strong foundation in computer science, with expertise in data structures, algorithms, and software design patterns. Knowledge of compilers and AI/ML is a big plus.
Key Responsibilities:
- Design, develop, and optimize high-performance software applications using C/C++- Develop and maintain large-scale software systems, ensuring scalability, reliability, and performance- Collaborate with cross-functional teams to identify and prioritize project requirements- Participate in code reviews and contribute to the improvement of the codebase- Troubleshoot and debug complex software issues- Stay up-to-date with industry trends and emerging technologies
- Knowledge of compiler design and implementation- Experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch)
At Synopsys, we’re at the heart of the innovations that change the way we work and play. Self-driving cars. Artificial Intelligence. The cloud. 5G. The Internet of Things. These breakthroughs are ushering in the Era of Smart Everything. And we’re powering it all with the world’s most advanced technologies for chip design and software security. If you share our passion for innovation, we want to meet you.
At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Engineering Machine Learning PyTorch Security TensorFlow
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