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Lead Software Engineer - Virtual & Hybrid Platforms
About the Role
At Cadence Design Systems, Virtual and Hybrid Platforms are the foundation that lets software teams get to work months before silicon arrives. The Lead Software Engineer in this role will own that foundation, from ROM and early boot through Linux/Android bring-up, and directly shape how Cadence's SoC software ecosystem comes to life.
The candidate will work at the intersection of hardware and software, influence architecture decisions early in the design cycle, and mentor engineers solving some of the hardest bring-up and co-debug challenges in the industry. This role is designed for engineers who thrive at the hardware/software boundary and want their work to have multiplied impact across every team that depends on early platform readiness.
Key Responsibilities
Required Qualifications
Preferred Qualifications
Why Cadence
Job ID: 151781865
Skills:
.Net Core, React, Windows, Sql, Microservices, Nosql, Linux, Docker, Distributed Systems, Kubernetes, Angular Js, AI system operations monitoring, Enterprise compliance considerations, Messaging and event-driven architecture, REST Web APIs, Cost-performance trade-offs, Responsible AI practices, API SDK-based services, AI ML basics, LLM usage patterns, Java Spring Boot
Skills:
Java, Scala, Kubernetes, Python, AWS, SRE best practices, Big Data ETL pipelines
Skills:
Elk, Prometheus, Grafana, Datadog, Microservices, Devops, Shell, Gcp, Docker, Terraform, Splunk, Helm, Azure, Kubernetes, Python, AWS, GitOps, Kustomize, Infrastructure Automation, Cloud Platforms, kubectl, ArgoCD
Skills:
Golang, PostgreSQL, Prometheus, Kafka, Spring Boot, Grafana, Microservices, Nosql, Ec2, Docker, Python, Api Gateway, Java, Hazelcast, Redis, Rabbitmq, Django, AWS ECS, FastAPI, Kubernetes, AWS SQS, Ddd, CI CD, Cognito, event-driven architecture, distributed tracing, CQRS, opensearch
Skills:
AWS, Splunk, Java, Grafana, Dynatrace, Datadog, Gitlab, Prometheus, Kubernetes, Python, Terraform, Jenkins, Scala, Big Data ETL pipelines, observability, SRE best practices