Senior AI Platform Engineer - Scalable, Secure, Multi-Cloud

pSemi, A Murata Company; San Diego (CA); On-site; USD 209,000 - 272,000; Full time

Job summary

pSemi Corporation, a Murata company, seeks a Senior Staff Software Engineer focused on AI platforms to lead end-to-end software systems enabling AI-assisted RFIC design and verification workflows.

You will architect scalable platforms spanning web applications, backend services, data, and secure execution environments while remaining hands-on and driving productionizing efforts across AWS, Azure, Google Cloud, and on-premises or hybrid setups.

Qualifications

• 10+ years of progressive, hands-on software engineering experience, including technical leadership of complex, production-scale systems and broad impact across multiple teams or product areas.
• Deep proficiency in one or more modern programming languages, such as Python, Java, C++, JavaScript, or TypeScript, with extensive experience in software architecture, debugging, automated testing, performance optimization, and maintainable code design.
• Demonstrated expertise in designing, building, deploying, and operating distributed software platforms across multiple layers of the application stack, including user-facing applications, APIs, backend services, data systems, workflow systems, and infrastructure.
• Strong knowledge of distributed systems, API design, data modeling, asynchronous processing, messaging, system integration, fault tolerance, security, reliability, and production operations.
• Experience deploying and operating production workloads in at least one major cloud platform, such as AWS, Microsoft Azure, or Google Cloud Platform, with practical knowledge of networking, compute, storage, identity, security, and managed services.
• Experience with containerized applications, Kubernetes or comparable orchestration platforms, CI/CD, infrastructure as code, configuration management, environment promotion, monitoring, and incident response.
• Experience designing secure multi-user systems, including identity and access management, authorization, secrets and credential management, workload isolation, audit logs, and operational controls.
• Experience integrating AI/ML services, LLM APIs, intelligent automation, or other nondeterministic components into production software systems. Expertise in training foundation models is not required.
• Experience defining technical direction and leading cross-functional teams through architecture, implementation, deployment, migration, and continuous improvement of complex products.
• Exceptional written and verbal communication skills, with a proven ability to document and present technical designs, decisions, risks, trade-ops, and roadmaps to technical and nontechnical stakeholders.
• Track record of independent, high-impact contributions that improve product capabilities, engineering velocity, system reliability, platform reuse, or organizational effectiveness.

Responsibilities

• Lead the architecture and evolution of distributed software platforms that support AI-enabled engineering workflows. Define service boundaries, APIs, data flows, execution models, asynchronous processing patterns, and platform standards that can be reused across multiple products and teams.
• Design and productionize systems that incorporate generative AI, LLM services, intelligent agents, retrieval, tool-driven automation, and human approval workflows. Focus on reliability, evaluation, traceability, failure handling, policy enforcement, and secure execution rather than model research or training.
• Architect, implement, and maintain end-to-end software products spanning modern web applications, backend services, APIs, real-time interactions, and engineering integrations.
• Design, automate, and continuously improve development, testing, deployment, and production environments across cloud and on-premises or hybrid environments.
• Lead the development of secure, resilient, and production-ready systems with strong observability, fault tolerance, recovery, and operational support.
• Collaborate across software, infrastructure, AI, and RFIC engineering teams to automate workflows involving design, simulation, testbench configuration, job execution, data collection, analysis, verification, and report generation.
• Direct the design of data architectures and integration patterns that connect applications, databases, engineering tools, AI services, enterprise systems, and long-running computational workloads.
• Serve as a technical authority across multiple products and engineering disciplines, driving alignment and mentoring engineers.
• Independently investigate emerging software, cloud, AI platform, infrastructure, and developer-platform technologies and map them to semiconductor engineering needs.

Skills

Python

Java

C++

JavaScript

TypeScript

Distributed systems

API design

AWS

Azure

GCP

Education

Bachelor's degree in Computer Science/Engineering

Tools

Kubernetes

CI/CD

Terraform

Docker

Job description

pSemi Corporation, a Murata company, seeks a Senior Staff Software Engineer focused on AI platforms to lead end-to-end software systems enabling AI-assisted RFIC design and verification workflows.

You will architect scalable platforms spanning web applications, backend services, data, and secure execution environments while remaining hands-on and driving productionizing efforts across AWS, Azure, Google Cloud, and on-premises or hybrid setups.