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Cadence Design Systems

Software Architect

Posted 3 Days Ago
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Burlington, MA
Expert/Leader
Burlington, MA
Expert/Leader
The Software Architect will lead the development of high performance mixed signal verification software, collaborating with teams to innovate and enhance technologies on Cadence’s Xcelium platform.
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At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

Are you a dynamic engineer, ready to learn new concepts and passionate about innovating/developing high quality, scalable software components that are used by our customers to develop world-class products?

We offer amazing opportunities to contribute, collaborate and grow, no matter where you are in your career.

Cadence Design Systems is looking for a R&D compiler/software expert to develop new, high performance and scalable technologies on Cadence’s Xcelium platform focusing on elevating Mixed Signal Verification to new orders of efficiency and scalability. Xcelium Mixed Signal App is accelerating the vision and need for high performance, high quality mixed signal verification in the industry. We are looking for skilled and motivated candidates with background in one or more of Computer Science or Engineering, Digital Simulation, and some exposure to either Analog/Real-Number/Mathematical Behavioral modeling for verification or technologies like Data mining, Data analytics, Artificial Intelligence and Machine Learning.

This opportunity requires 20+ years of software development using C, preferably C++ - with proven ability to develop and integrate massively scalable software development components - potentially across a variety of products or solutions. Prior experience with digital, analog, or mixed signal design or verification or mathematics based functional/behavioral modeling will help, although it is not mandatory - if you have the interest to pursue this area with passion to learn and make an impact in the industry.

You will be part of a team responsible for creating innovative technologies required to raise the bar on our technology leadership in this space. Responsibilities include formulating and leading development of the next generation of mixed signal verification software components, in a highly collaborative environment with cross-functional teams and customers. Individual contributor responsibilities will be to architect/design, develop and roll-out highly differentiated software components to propel Xcelium Mixed Signal App into its next phase of growth.

The successful candidate will possess the following combination of education and experience:

  • Masters or Phd in Computer Science, Computer Engineering or Electrical Engineering with 10+ years of experience (or) a Bachelors Degree with 12+ years of relevant experience
  • Keen eye for scalable, high performance and high-quality software deliverables
  • Strong analysis and problem solving skills
  • Strong ability to learn new concepts quickly
  • Good communication skills and storytelling abilities are preferred - to be effective in a global team environment - both within Cadence and across our customers including leadership opportunities in Accellera, IEEE standards activities
  • Excellent programming and software engineering skills(C/C++) via Unix and/or Linux platforms(preferred)
  • Proficient in either digital or analog/mixed signal simulation, with exposure to atleast one hardware description language(HDL)
  • Proficient in software debugging environment (gdb, workshop, etc) and/or version control systems(perforce, github, etc)
  • Experience with Python, Artificial Intelligence or Machine Learning technology is desirable
  • We are looking for innovative engineers who have a flair for high quality as well and enjoy working with a great team in a high-performance culture.

Be proud and passionate about the work you do. Together, our One Cadence -- One Team culture drives our success.

We’re doing work that matters. Help us solve what others can’t.

Top Skills

Artificial Intelligence
C
C++
Data Analytics
Data Mining
Linux
Machine Learning
Python
Unix

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