Lead Software Developer - Noida - Apache @ Apache Design Inc

Job Description

DescriptionSUMMARY We are looking for a Lead Software Developer to produce and implement functional software solutions in PowerArtist technology.ANSYS PowerArtist is the comprehensive design- for- power platform of choice of all leading low- power semiconductor design companies for early RTL power analysis and reduction.To be successful as a Lead Software Developer, you should be able to lead project with little supervision. Your goal will be to develop high- quality software that is aligned with customer needs and business goals. You should be up to date on new technologies and software development practices. RESPONSIBILITIES Develop high- quality software design and architecture. Develop tool by producing clean, efficient code. Lead complex projects involving multiple developers in one or more areas of the product. Identify, prioritize and execute tasks in the software development life cycle. Automate tasks through appropriate tools and scripting. Review and debug code to identify and fix code problems. Create unit, regression and/ or system- level tests to thoroughly validate new features or changes. Collaborate with internal teams and customers to improve product offerings. Understand and demonstrate best practices in software engineering. MINIMUM QUALIFICATIONS B.E./ B.Tech. degree in Computer Science, Electrical Engineering or related field, with seven years experience. Proficient with C/ C++ development and strong working knowledge of Linux operating systems. Comprehensive understanding of object- oriented development techniques and theories. Experience with multi- threading and concurrency. Strong background in data structures, algorithms, and debugging Demonstrated technical leadership, and successful delivery of projects involving multiple engineers. Ability to learn quickly, understand complex systems and to work closely with others across multiple teams Ability to handle uncertainty, time pressure and large technical challenges Ability to deliver high- quality work on time Strong communication skills with both internal team members and external customers. PREFERRED QUALIFICATIONS MS / MTech degree in ElectronicsEngineering, Computer Science or related field. Demonstrated skills in the following areas are a plus: Extensive experience designing and developing enterprise grade software. Gate level or RTL power analysis and/ or optimization Logic synthesis or equivalence checking Experience with the Python programming language GUI development for analysis tools CULTURE AND VALUES Culture and values are incredibly important to ANSYS. They inform us of who we are, of how we act. Values aren't posters hanging on a wall or about trite or glib slogans. They aren't about rules and regulations. They can't just be handed down the organization. They are shared beliefs guideposts that we all follow when we're facing a challenge or a decision. Our values tell us how we live our lives; how we approach our jobs. Our values are crucial for fostering a culture of winning for our company: Customer focus Results and Accountability Innovation Transparency and Integrity Mastery Inclusiveness Sense of urgency Collaboration and Teamwork ANSYS does not accept unsolicited referrals for vacancies, and any unsolicited referral will become the property of ANSYS. Upon hire, no fee will be owed to the agency, person, or entity.

Job Classification

Industry: IT-Hardware & Networking
Functional Area: IT Software - Application Programming, Maintenance,
Role Category: Programming & Design
Role: Programming & Design
Employement Type: Full time

Education

Under Graduation: B.Tech/B.E. in Computers
Post Graduation: Post Graduation Not Required
Doctorate: Any Doctorate in Any Specialization, Doctorate Not Required

Contact Details:

Company: Apache Design Inc
Location(s): Noida, Gurugram

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Keyskills:   algorithms python c++ Semiconductor software development gui development Ansys Computer science Software design Lead Software linux Software development life cycle software engineering data structures