R&D Software Engineer
- Siemens
- 2 to 6 Yrs
- Noida, Gurugram
- 7 months ago
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Job Description
- As a member of the core R&D team working on multiple verticals of Simulation at Questa Simulation Product, you will be part of a highly energetic and enthusiastic team based in Noida/Bangalore. Additionally, you will have the opportunity to travel to various locations in India and around the globe, working with teams that impact entire cities, countries, and the future landscape. **Key Responsibilities:** - Contribute to core algorithmic advancements and software design/architecture within the QuestaSim R&D team of Siemens EDA. - Collaborate with senior software engineers to ensure the final production quality of new components and algorithms, as well as develop new engines and enhance existing code. - Demonstrate self-motivation, self-discipline, and goal-setting abilities to thrive in a dynamic work environment. **Qualifications:** - Possess a strong understanding of C/C++, algorithms, and data structures. - Familiarity with Compiler Concepts and Optimizations. - Experience working with UNIX and/or LINUX platforms. - Strong problem-solving and analytical skills. - Ability to work independently, guide others, and drive project completion. - Basic knowledge of Digital Electronics Concepts. - Proficiency in Verilog, System Verilog, and VHDL. - Experience in parallel algorithms and job distribution. - Hold a B.Tech or M.Tech degree in CSE/EE/ECE from a reputable engineering college. - Understanding of ML/AI algorithms and their application in data-driven tasks. - Exposure to Simulation or Formal based verification methodologies would be advantageous.,
Employement Category:
Employement Type: Full timeIndustry: IT - Hardware / NetworkingRole Category: Not SpecifiedFunctional Area: Not SpecifiedRole/Responsibilies: R&D Software EngineerContact Details:
Company: Siemens EDA SiemensLocation(s): Noida, Gurugram
Keyskills: algorithms data structures UNIX LINUX Verilog System Verilog VHDL parallel algorithms Simulation problemsolving distribution
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