Software Architect – AI & Simulation Platforms - Full Stack Development
SynopsysJob Title
Software Architect – AI & Simulation Platforms - Full Stack Development
Role Summary
Architect and lead development of scalable full‑stack platforms that support AI and simulation workloads. Work with engineering teams, product managers, and stakeholders to define technical direction, system architecture, and implementation approaches for platform services and developer workflows.
This is a hands‑on architecture role focused on reliability, scalability, performance, and integration of front‑end, back‑end, data pipelines, and cloud infrastructure for AI and simulation use cases.
Experience Level
Senior. Years of experience not specified in the source.
Responsibilities
Primary responsibilities include designing platform architecture, guiding implementation, and ensuring operational excellence.
- Define system and software architecture for AI and simulation platforms, including APIs, data flow, and integration points.
- Lead full‑stack development efforts: frontend interfaces, backend services, data pipelines, and storage.
- Design for scalability, performance, fault tolerance, and observability in cloud and on‑prem environments.
- Collaborate with product, ML engineers, and simulation teams to translate requirements into technical solutions.
- Establish best practices for CI/CD, testing, code quality, and release processes.
- Mentor engineers, conduct design reviews, and drive technical decisions across teams.
Requirements
Concise list of core qualifications and preferred skills. Education details are summarized separately below.
- Must-have: Proven experience architecting and delivering complex distributed systems and platform services.
- Must-have: Strong full‑stack development skills (modern frontend frameworks and backend services).
- Must-have: Experience with cloud platforms (AWS/Azure/GCP), containers, and orchestration (Docker, Kubernetes).
- Must-have: Solid programming experience in relevant languages (e.g., Python, C++, Java, Go) and system design.
- Must-have: Experience with CI/CD, observability tools, and performance tuning for large workloads.
- Nice-to-have: Familiarity with AI/ML deployment, GPU acceleration, data pipelines, or simulation/EDA domains.
- Nice-to-have: Experience leading cross‑functional teams and mentoring senior engineers.
Education Requirements
Not specified.
About the Company
Company: Synopsys
Headquarters: Mountain View, California, USA
Synopsys is a leading company in electronic design automation (EDA) and semiconductor IP solutions. It provides tools and services for designing and verifying complex semiconductor devices and systems. The company plays a pivotal role in the semiconductor industry, helping engineers innovate and deliver higher-quality products faster. Synopsys is committed to advancing technology standards and offers a range of software and hardware solutions to its clients globally.
