Staff AI Engineer

Synopsys IncUnited Statesfull_timestaff

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Tech Stack

GoPythonKubernetesDockerAWSAzureGCPCI/CDGpuLlmGitHub ActionsAzure DevopsHarness.ioGitLab Ci

Solid badges = required, outlined = preferred

Responsibilities

Contribute to the development of scalable, distributed systems running in Kubernetes-based environments
Design and implement comprehensive test strategies for platform primitives, frameworks, and SDKs that enable AI-powered solutions
Participate in code reviews and architecture discussions with a strong focus on quality and reliability
Rapidly prototype solutions, validate designs through demos, and deliver production-ready systems
Develop and manage reusable QA agent skills and tools

Soft Skills

Generative AIMachine LearningSystem DesignProblem-SolvingOrganizational SkillsTeam LeadershipCommunication Skills

Benefits

Disability Insurance
Health Insurance
Life Insurance
Mental Health
Parental Leave

Culture

Cross-Functional TeamsContinuous LearningInnovation

Requirements

Required: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

Regions: Us

About Synopsys Inc

Industry: semiconductor

Size: enterprise

Synopsys drives innovations in pervasive intelligence, leading in chip design, verification, and IP integration to empower high-performance silicon chips and software content. The company is dedicated to transforming the future through continuous technological innovation, particularly in hardware-assisted verification platforms.

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