Job Description and Requirements
Roles and Responsibilities:
- Collaborating with SYNOPSYS Product Teams to understand new product requirements including HPC and AI/ML Products and ensuring the platform supports a wide range of AI applications.
- Collaborating closely with BU GenAI teams and our internal (COE) AI engineers to understand their needs and ensuring the platform supports a wide range of AI applications
Monitoring platform performance, implementing enhancements, and ensuring platform scalability and stability. - Establishing a Security Protocol for GenAI applications Developing and implementing robust security measures to protect the GenAI Platform This includes vulnerability assessments, regular security audits, and ensuring compliance with industry-standard security protocols.
- Finding optimal solutions to deploy SYNOPSYS GenAI products in a Datacenter or Cloud environment using sophisticated design techniques, services, and tools.
- Collaborating with multi-functional teams, including system engineering, software engineering, mechanical/thermal engineering, operations, data center teams, external vendors, and other partners to successfully deliver a reliable and robust platform from concept to prototype to deployments.
- Integrating and Optimizing Cluster Deployment methods and managing SW stack deployments, including provisioning these services into the cloud.
- Optimizing AI/ML pipelines and workload in a production environment on the SYNOPSYS GenAI platform Diagnosing, root-causing and creating requirements for MLOps improvements depending on customer and product requirements.
- Building a strong Platform Enablement team: Hiring experienced professionals with expertise in Cloud, Kubernetes, containers, MLOps, and SRE Defining clear roles and responsibilities, establishing communication protocols, and providing ongoing training and support to ensure team members are equipped to handle complex challenges.
- Developing a roadmap for GenAI Platform enablement: Conducting a thorough analysis of current and future needs, identifying gaps, and prioritizing initiatives to deliver value quickly Working closely with business stakeholders to understand their requirements and ensure that the platform meets their needs.
- Developing a comprehensive training program: Developing a comprehensive training program for users of the GenAI Platform This program should cover the basics of Cloud, Kubernetes, containers, MLOps, and SRE as well as best practices for using the platform.
Qualifications:- Bachelor's or Master's Degree in Computer Science, or equivalent experience
15+ years of relevant experience - 5+ years of Linux and Scripting experience
- Solid background on OS Kernels and system engineering
- A track record of quickly understanding new technologies outside of your domain expertise and deploying systems in sophisticated configurations from hardware through multiple layers of software in a fast-paced environment
- Strong technical skills and understanding of embedded systems, orchestration & automation systems, data centers and cloud architecture including containerization, as well as excellent communication and planning skills
- Strong problem-solving ability and experience in product engineering/failure analysis and debug/ HW or test design
- Understanding of dense datacenter design including compute, Storage, and networking
Nice to Have:- Understanding of software engineering principles and enterprise system architecture with an automate and Scale approach.
- Experienced with compute clusters administration, automation as well as experience with productivity tools and process automation is a big plus.
- Experience in large scale QA environments, for product bring-ups.
- Special skills in large-scale computing and cluster computing (MPI), data center design including high-speed interconnect InfiniBand, Cluster Storage, and Scheduling related design and/or management experience.
- Strong background in Windows & Linux administration
The base salary range across the U.S. for this role is between $182,000 - $272,000. In addition, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can share more specific details on the total rewards package upon request.
At Synopsys, we're at the heart of the innovations that change the way we work and play. Self-driving cars. Artificial Intelligence. The cloud. 5G. The Internet of Things. These breakthroughs are ushering in the Era of Smart Everything. And we're powering it all with the world's most advanced technologies for chip design and software security. If you share our passion for innovation, we want to meet you.
Inclusion and Diversity are important to us. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, military veteran status, or disability.
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