Sr. Staff AI Engineer

Synopsys; Sunnyvale (CA); On-site; USD 150,000 - 200,000; Full time

Job summary

A leading technology company is seeking an experienced AI engineer to drive innovation in the semiconductor industry. The role involves designing GenAI environments, developing cloud-native applications, and enhancing AI workflows. Ideal candidates will have a strong background in programming, cloud technologies, and a passion for AI.

Benefits

Health Benefits

Financial Benefits

Wellness Programs

Qualifications

• 10+ years of experience in systems software and AI/ML applications.
• Strong proficiency in deploying large language models (LLMs).

Responsibilities

• Designing GenAI environments for R&D products.
• Developing ecosystems for hosting Gen AI applications in the Cloud.
• Orchestrating GPU scheduling within Kubernetes.

Skills

Python

Go

Cloud Technologies

AI

Problem Solving

Education

BS/MS/PhD in Computer Science/Software Engineering

Tools

Kubernetes

Docker

AWS

GCP

Azure

PostgreSQL

Job description

We Are:

At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.

You Are:

A passionate and experienced AI engineer with a strong background in building and managing AI and GenAI platforms. You have a deep understanding of cloud technologies, Large Language Models(LLMs), Inferencing infrastructure, containerization, and microservices. With over 10 years of experience, you excel in designing complex distributed systems and have a keen ability to solve intricate problems using efficient algorithms. You thrive in a collaborative environment and are excited about the opportunity to lead and innovate in the semiconductor industry. Your expertise in programming languages like Python and Go, coupled with your knowledge of Kubernetes and cloud platforms, makes you a perfect fit for this role. You are enthusiastic about leveraging AI to enhance R&D efforts and are committed to continuous learning and professional development.

What You'll Be Doing:

• Designing and building GenAI environments for our R&D products to integrate and experiment with a wide variety of Large Language Models (LLMs) and inferencing technologies (e.g., TGI, TEI, NIMs) hosted on-premises using Docker and Kubernetes.
• Developing an ecosystem to enable R&D teams to host Gen AI applications in the Cloud.
• Creating capabilities to ship Cloud Native (Containerized) AI applications/AI systems to on-premises customers.
• Orchestrating GPU scheduling from within the Kubernetes ecosystem (e.g., Nvidia GPU Operator, MIG, and more).
• Designing reliable and cost-effective hybrid cloud architecture using cutting-edge technologies (e.g., Docker, Kubernetes Cluster Federation, Azure Arc, and more).

The Impact You Will Have:

• Streamlining EDA product development processes through the adoption of advanced cloud and AI technologies.
• Ensuring Synopsys products remain at the forefront of the evolving industry by integrating modern software delivery practices.
• Enhancing the efficiency and reliability of AI and ML workflows within the organization.
• Driving innovation by enabling the deployment of Gen AI applications in a scalable and cost-effective manner.
• Contributing to the development of state-of-the-art AI solutions that support Synopsys' mission of technological advancement.
• Leading the way in platform engineering and making a significant impact in the semiconductor space.

What You'll Need:

• BS/MS/PhD in Computer Science/Software Engineering or an equivalent degree.
• 10+ years of experience building systems software, enterprise software applications, AI/ML applications, and microservices.
• Expertise in programming languages such as Python and Go.
• Strong proficiency in deploying large language models (LLMs) using state-of-the-art frameworks, tools and technologies like vLLM, TGI,TEI, NIMs etc.
• In-depth knowledge of Kubernetes, including deploying Kubernetes on-prem and working with managed Kubernetes services (AKS/EKS/GKE).
• Strong systems knowledge in Linux Kernel, CGroups, namespaces, and Docker.
• Experience with at least one cloud provider (AWS/GCP/Azure).
• Ability to solve complex problems using efficient algorithms.
• Experience with RDBMS (PostgreSQL preferred) for storing and queuing large sets of data.

Who You Are:

• A visionary engineer with a passion for AI and platform engineering.
• A collaborative team player who thrives in a diverse and inclusive environment.
• An innovative thinker with strong problem-solving skills and a keen attention to detail.
• Committed to continuous learning and professional development.
• Able to articulate architecture, design, and information flow effectively.

The Team You'll Be A Part Of:

You will be part of a dynamic and innovative platform engineering team dedicated to transforming Synopsys' R&D products. The team focuses on leveraging advanced cloud, containerization, microservices, and AI technologies to enhance product development processes and drive continuous technological innovation.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.

In addition to the base salary, 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. The base salary range for this role is across the U.S.

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