Overview
Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.
Our powerful, award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. Diversity, equity & inclusion are integral parts of our culture and drivers of innovation at Keysight. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.
This position is for an AI/ML engineer for Keysight electronic design automation (EDA) software business unit. Keysight EDA solutions empower communication product design, semiconductor manufacturing, and R&D integrators worldwide. We create world-class tools for electronic communication, including software like ADS, EMPro, GoldenGate, SystemVue, IC-CAP, and MBP/MQA.
As an AI/ML Engineer, you’ll be at the forefront of integrating artificial intelligence and machine learning techniques into our EDA tools. Your primary responsibility will be to develop, implement, and optimize AI/ML models for various EDA applications. Additionally, you’ll take ownership of MLOps practices and ensure the quality and reliability of AI/ML versions.
Responsibilities
- Design and develop machine learning systems tailored for EDA applications.
- Implement appropriate ML algorithms and techniques.
- Process and analyze large volumes of data to create predictive models.
- Collaborate with software developers to integrate AI/ML features into EDA tools.
- Establish MLOps pipelines for model deployment, monitoring, and maintenance.
- Conduct rigorous testing and quality assurance of AI/ML versions.
- Continuously monitor and update models to optimize performance.
- Stay informed about the latest developments in AI/ML and their applicability to EDA.
Qualifications
- 3-5 Years of industrial experience.
- PHD/MTech in the area of AI/ML.
- Strong proficiency in programming languages such as Python.
- Basic knowledge of C++ is desired.
- Strong understanding of Neural Networks, Reinforcement Learning, GenAI.
- Solid understanding of machine learning algorithms, techniques, and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with data preprocessing, feature engineering, and model evaluation.
- Good understanding of MLOps.
- AI solution deployment experience both on-prem and cloud.
- Proficiency in data manipulation and analysis using SQL, pandas, or similar tools.
- Familiarity with software development methodologies and version control systems (e.g., Git).
- Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.
- Excellent problem-solving skills and analytical thinking.
- Strong communication and interpersonal skills.
Compensation and Benefits
The level of role will be based on applicable experience, education, and skills; most offers will be between the minimum and the midpoint of the Salary Range listed below.
California pay range: MIN $115,000 - MAX $181,000. Note: For other locations, pay ranges will vary by region.
This role is eligible for Keysight Results Bonus Program.
US Employees May Be Eligible For The Following Benefits:
- Medical, dental and vision.
- Health Savings Account.
- Health Care and Dependent Care Flexible Spending Accounts.
- Life, Accident, Disability insurance.
- Business Travel Accident and Business Travel Health.
- 401(k) Plan.
- Flexible Time Off, Paid Holidays.
- Paid Family Leave.
- Discounts, Perks.
- Tuition Reimbursement.
- Adoption Assistance.
- ESPP (Employee Stock Purchase Plan).
Company: Keysight Technologies
Equal Opportunity Employer: Keysight is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other protected categories under all applicable laws.
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