Top Tech Jobs & Startup Jobs

Lead the development of CPU core-level test generators for RISC-V processors, overseeing validation strategies and guiding a small team while staying hands-on with implementation.

The CPU Core Unit Lead will develop next-generation CPU RTL, define microarchitecture specifications, oversee design quality, mentor junior engineers, and use AI tools to enhance design processes.

Design and deliver die-to-die chiplet PHY IP in advanced FinFET nodes: develop PLLs and AMS blocks, lead design verification and layout interactions, support tape-out and silicon bring-up, and collaborate across architecture, digital, verification, layout, and software teams to achieve production-quality silicon.

The Timing Engineer will perform static timing analysis, optimizing paths and constraints to ensure chip performance while collaborating with various engineering teams.

Lead EM and IR-drop simulations ensuring robust power delivery and signal integrity for high-performance ICs. Collaborate with teams on power grid strategies and support EMIR sign-off across chip hierarchy.

Define architecture and micro-architecture specs for memory and I/O chiplets, evaluate next-generation memory technologies, develop performance and power modeling infrastructure, and collaborate with SoC, verification, physical design, packaging, systems teams and external partners to enable high-throughput, low-latency memory architectures.

Lead hardware-software co-design to enable AI/HPC and agentic AI stacks on RISC-V CPUs. Integrate and optimize low-level kernel infrastructure, runtimes, distributed execution, memory systems, and developer tools, collaborating with architects, compiler engineers, and kernel developers to meet performance targets.

Lead the development of AI compiler tools, enhance performance analysis, collaborate with hardware teams, and mentor engineers to improve compiler tooling.

Develop and maintain infrastructure platforms for AI services, build APIs, manage Kubernetes clusters, and automate workflows using CI/CD practices.

Select and qualify electronic components for high-performance AI compute systems, maintain Approved Vendor List, drive multi-sourcing and cost optimization, monitor lifecycle and supplier risk, and collaborate with hardware, procurement, and supply teams to ensure component availability for scalable production.