Senior Software Engineering Manager

$199,000 - $299,000/Yr

Synopsys - Sunnyvale, CA

Full-time - Senior

Sunnyvale, CA

Publishing Industries

About the position

The Senior Software Engineering Manager at Synopsys is a leadership role focused on guiding a global team in the development of software for memory compiler products. This position emphasizes collaboration across various functions, technical problem-solving, and process optimization to enhance operational efficiencies. The manager will drive the successful delivery of high-performance software solutions critical to advanced System-on-Chip (SOC) designs, while fostering a culture of innovation and continuous learning within the team.

Responsibilities

• Provide hands-on direction to the software engineering team for the delivery of roadmap items.
• Coordinate efforts across cross-functional teams, including development, user experience, and quality assurance.
• Communicate proactively about issues and risks to stakeholders.
• Identify and understand technical issues, manage and mitigate risks as a technical problem solver.
• Give technical guidance to the team in understanding user requirements and developing implementation specifications.
• Review and provide inputs on the team's implementation specifications, architecture designs, and project assessments for feasibility and best solutions.
• Optimize development and production processes to improve operational efficiencies.
• Utilize agile and iterative approaches to manage development efforts.
• Build strong partnerships within and outside the Embedded Memories team.

Requirements

• 15+ years of experience in software development, with at least 8 years in a managerial role.
• Proficiency in program management tools such as JIRA and Confluence.
• Strong programming skills in languages such as Java, Python, Tcl, JavaScript, SQL, and C/C++.
• Experience with GUI and web-based applications.
• Knowledge of hardware configurations, compute clusters, LSF, and cloud environments.
• Familiarity with agile, scrum, and CICD methodologies.
• Experience in artificial intelligence, machine learning, and data science is a plus.
• College degree in Electrical/Electronic Engineering.

Nice-to-haves

• Experience in artificial intelligence, machine learning, and data science.

Benefits

• Comprehensive health benefits
• Wellness programs
• Financial benefits
• Monetary and non-monetary offerings