Senior RTL Design Engineer
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Job Description
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Who we are:
We are a startup building foundational technology to address performance, scalability, and resiliency challenges in large-scale AI data center clusters. We are backed by top-tier VC firms and notable angel investors.
The company is led by experienced builders and operators who have founded companies, taken them to scale, and exited successfully. We work with a strong sense of unity and shared responsibility, and we expect trust, integrity, and respect in how we collaborate and make decisions. We hold ourselves accountable to one another and to the quality of the work we deliver.
Headquartered in Silicon Valley, we operate across a mix of remote and on-site locations in the U.S. and Canada. We aim to create an environment where people are treated fairly, supported in their growth, and are empowered to do meaningful work alongside others who take the craft seriously.
What we need:
An experienced Senior RTL Design Engineer responsible for designing, implementing, and delivering high-quality RTL for complex digital systems. This role focuses on translating architectural specifications into scalable microarchitectures and production-ready RTL, with strong attention to performance, power, and area.
The ideal candidate has 5+ years of experience with Verilog/SystemVerilog, strong digital design fundamentals, and experience working across the full design lifecycle in collaboration with architecture, verification, and physical design teams.
Key Responsibilities:
- Design and implement RTL for complex digital subsystems using Verilog/SystemVerilog
- Translate architectural specifications into clean, efficient, and scalable microarchitectures
- Collaborate with architecture, verification, and physical design teams to ensure design correctness and closure
- Develop high-quality, reusable RTL with strong coding standards and documentation
- Perform linting, CDC analysis, and ensure synthesis readiness of designs
- Support integration and debug of RTL in simulation and early silicon environments
- Participate in design reviews and provide technical input on architecture and implementation tradeoffs
- Work with verification teams to ensure comprehensive functional coverage
- Assist in timing closure and support backend teams as needed
- Contribute to continuous improvement of design methodologies, flows, and tools
Required Skills and Qualifications:
Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or a related field
- 5+ years of experience in RTL design
- Strong hands-on experience with Verilog/SystemVerilog
- Solid understanding of synchronous digital design and microarchitecture principles
- Experience with simulation and debug tools (e.g., VCS, Questa, Verdi, DVE)
- Familiarity with synthesis, timing, and physical design constraints
- Strong analytical and problem-solving skills
- Clear written and verbal communication skills for cross-functional collaboration
- High attention to detail and ability to deliver high-quality design outcomes
- Ability to work independently and manage tasks to completion, including AI-assisted workflows
Desired Skills:
Experience designing high-performance systems (e.g., AI/ML accelerators, networking, or SoCs)
Familiarity with low-power design techniques (clock gating, power gating)
Exposure to DFT concepts and design-for-test considerations
Experience with scripting (Python, Tcl, or similar)
Experience working in advanced semiconductor process nodes
Experience using AI coding agents (e.g., Claude Code, Cursor, Copilot) in RTL workflows such as implementation, debug, and timing closure, with the rigor to verify AI-generated output
Interest in turning design experience into reusable AI agent guidance, such as RTL coding patterns, timing-closure playbooks, or review checklists
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Delos Data
View Company ProfileDelos Data (operating at delosdata.com) is a hardware-focused AI infrastructure company engineered for next-generation computing. Founded in 2021 and headquartered in Palo Alto, CA, Delos specializes in developing semiconductor technology and AI interconnects to address critical bottlenecks in GPU- and AI-intensive workloads. Under the hood, the company combines expertise in software, systems, and silicon to create high-performance computing solutions that optimize data flow and responsiveness. This allows data centers and AI researchers to accelerate training and inference tasks without traditional hardware limitations. Backed by $11.5 million in funding across two rounds, Delos operates privately with a focus on delivering scalable, energy-efficient AI infrastructure.
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