Keysight Technologies is a leading supplier of Electronic Design Automation (EDA) software for communications product design. As a Senior Solution Engineer, you will be responsible for the adoption, retention, and expansion of Keysight software solutions at major customers, building design flows and providing an integrated customer experience.
Responsibilities:
- Ambition to expand Keysight solutions within customers’ approved design flow(s)
- Deliver value to our customers by enabling their success with Keysight software and solutions. (Deliver regular training events, webinars/seminars, etc.)
- Has deep product knowledge and can discuss technical details with customers. Can do extensive benchmarks or evaluations if needed. Brings in extra help when needed
- Is involved in all ongoing design and technical activities at customer site. Is able to articulate customer’s design flow, its gaps and challenges
- Help showcase the value of Keysight EDA solutions and enable customers to achieve their goals effectively
- Partner with internal teams and customers to research and deliver novel solutions to real-world customer problems
- Stay current with emerging technologies and proactively learn new tools, including AI/ML, to support evolving customer needs
Requirements:
- Minimum: Bachelor's degree in Electrical Engineering or related field
- Excellent communications skills with strong customer interaction capabilities
- 3+ years of experience (RF/Microwave or RFIC design and verification, or in an applications engineering role supporting these technologies.)
- Knowledge of Keysight EDA tools (e.g., ADS) and/or other industry EDA tools
- Demonstrates strong collaboration skills while remaining proactive and self-motivated
- Proficiency in Python for design and work automation
- MS or Ph.D in Electrical Engineering or related field
- Expertise in Keysight EDA tools (e.g. ADS, RFPro, Nexus)
- Expert-level knowledge of RF/Microwave & RFIC design
- Expertise in automating design flows with AEL and Python, leveraging emerging agentic AI and RAG approaches
- Experience with Application Engineering or Customer Support