As member of the DV CAD team, you have the opportunity to impact our engineers who develop next generation of our products!
You will be responsible for developing software solutions used by thousands of DV engineers globally. You will be supporting design process of all chip families we make (iPhone, iPad, Mac, our Watch and more), and your work will help streamline this complex process. This role combines DV knowledge alongside modern software engineering practices. Your work will be very diverse, and you will have broad impact contributing to the success of us.
You will develop and drive software development of multiple tools across the DV space, including cloud-native services, GUI, LLM harness, CI/CD. Your work will span from software development and architecture to collaborating with DV engineers, working with EDA vendors, and supporting critical project milestones.
Responsibilities
Developing and maintaining LLM harness for agentic DV workflows, and being responsible for benchmarking and improving accuracy of agentic workflows.
Building and managing cloud-native services running on k8s, including CI/CD, containerization, alerting, databases, GUI and monitoring.
Communication with DV stakeholders and working to understand user requirements.
Writing and maintaining Python scripts used as part of design simulation flows.
Supporting multiple projects simultaneously.
Requirements: Minimum Qualifications
BS.c/MS.c in Electrical Engineering, Computer Engineering, or Computer Science.
Constantly striving for improvement.
Proven experience with Design Verification - multiple years working in DV or DV CAD space.
Strong software foundation, good understanding of SW basics, including data structures, algorithms.
Proven track record of automating tasks and improving existing workflows and processes.
Good communication skills.
General understanding of the chip design process, what are: hardware description languages, FE, design simulation, synthesis, PD, etc.
Preferred Qualifications
Cloud-native development: experience with docker, k8s, writing HTTP servers, authentication and authorization.
Familiarity with LLM harnesses and LLM frameworks.
Good Python skills, including: familiarity with async programming, Pydantic, SQLAlchemy, FastAPI.
Familiarity with SQL and experience working with databases such as MySQL.
This position is open to all candidates.