R&D Engineering, Principal Engineer (f/m)

Category Engineering Hire Type Employee Job ID 17561 Remote Eligible Yes Date Posted 05/20/2026

We Are

Synopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP, simulation and analysis solutions, and design services. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow.

You Are

You have spent years building infrastructure that does not just work in staging, it holds up under real load, across distributed teams, in environments where downtime is not an option. You know the difference between a deployment that ships clean and one that wakes people up at 3 a.m., and you have learned to catch the difference before the pipeline runs.

You are comfortable moving between cloud-native tooling and on-premise constraints without losing sight of what you are actually enabling: R&D teams who need to build, test, and ship without thinking about the infrastructure underneath. You do not wait for perfect architecture diagrams. You ask the right questions, understand the tradeoffs, and build systems that scale without becoming fragile.

Automation is not a nice-to-have for you, it is how you think. You see a manual step and immediately start sketching the script that replaces it. You have strong opinions about observability, security, and reliability, and you are not afraid to push back when a shortcut today will create a mess tomorrow.

At Synopsys, you will work on infrastructure that powers Physical AI platforms, simulation workloads, and digital twin environments. The work is technical, the stakes are real, and what you build will directly affect how engineers across the company ship their work.

What You'll Be Doing

• Design, implement, and maintain CI/CD pipelines for the Physical AI platform
• Develop and manage infrastructure as code (IaC) for cloud and on-prem deployments
• Ensure reliability, scalability, and performance of platform infrastructure
• Collaborate closely with R&D engineering teams to streamline build, test, and release processes
• Deploy and manage applications across hybrid environments (cloud + on-premise)
• Monitor system health and implement observability solutions (logging, metrics, alerting)
• Improve security, compliance, and operational best practices
• Troubleshoot and resolve infrastructure and deployment issues
• Contribute to continuous improvement of DevOps tools, workflows, and processes

The Impact You Will Have

• Enable faster, more reliable releases for Physical AI platform features used by engineering teams globally
• Reduce deployment friction and manual toil, giving R&D engineers more time to focus on product development
• Improve system uptime and resilience through proactive monitoring and infrastructure design
• Accelerate onboarding and iteration cycles for AI/ML workflows and simulation workloads
• Strengthen security and compliance posture across hybrid cloud and on-premise environments
• Create reusable infrastructure patterns that scale across teams and product lines
• Support the growth of digital twin and simulation capabilities that power next-generation engineering tools

What You'll Need

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
• Strong experience in DevOps, SRE, or infrastructure engineering (typically 5+ years)
• Hands-on experience with cloud platforms (AWS, Azure, or GCP)
• Experience managing on-premise infrastructure and hybrid environments
• Proficiency with containerization and orchestration (Docker, Kubernetes)
• Experience with CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions)
• Strong scripting skills (Python, Bash, or similar)
• Familiarity with infrastructure as code tools (e.g., Terraform, Ansible)
• Experience supporting AI/ML platforms or data pipelines is preferred
• Familiarity with high-performance computing (HPC) or simulation workloads is preferred
• Exposure to 3D, simulation, or digital twin environments is preferred
• Knowledge of OpenUSD and/or NVIDIA Omniverse ecosystems is preferred
• Experience with artifact management and build systems is preferred

Who You Are

• Strong problem-solving and troubleshooting skills
• Ability to work effectively in a cross-functional, global environment
• Strong communication and collaboration skills
• Proactive, detail-oriented, and highly organized

The Team You'll Be Part Of

Your recruiter will share more about the team structure and mission during the interview process.

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.

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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.