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Delos Data
Engineering & Architecture 15h ago

RTL Verification Engineer

Delos Data
United StatesUnited States
Full-time
$160,000 – $240,000 per year
Senior-Level
VT

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Job Description

Key Skills Required

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FPGAASICSystemVerilogUVM

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We are a startup building foundational technology to address performance, scalability, and resiliency challenges in large-scale AI data center clusters. Backed by top-tier VC firms and notable angel investors, we are led by experienced builders and operators who have founded, scaled, and exited companies successfully. Our team operates with trust, integrity, and respect, fostering an environment of shared responsibility and accountability.

Headquartered in Silicon Valley, we operate across a mix of remote and on-site locations in the U.S. and Canada. Our goal is to create a fair, supportive, and empowering work environment where meaningful work is done alongside peers who take craft seriously.

What We Need:

An experienced RTL Verification Engineer responsible for ensuring the functionality, correctness, and quality of complex digital designs across ASIC and FPGA platforms. This role focuses on building robust verification environments, executing coverage-driven verification plans, and collaborating closely with RTL design engineers to deliver reliable, high-quality silicon.

Key Responsibilities:

  • Develop, implement, and maintain RTL verification environments using UVM or equivalent methodologies
  • Create and execute coverage-driven verification plans aligned with design specifications
  • Develop directed and constrained-random test cases and sequences to validate functionality and identify corner cases
  • Analyze simulation results, debug complex verification and design issues, and perform root-cause analysis in collaboration with RTL design engineers
  • Implement and track functional and code coverage, driving verification to closure
  • Develop reusable verification components and write SystemVerilog Assertions (SVA)
  • Participate in design and verification reviews, providing input on design testability, correctness, and optimization
  • Automate regression testing and enhance verification infrastructure using Python and scripting
  • Contribute to continuous improvement of verification processes, tools, and methodologies

Required Skills and Qualifications:

  • A Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or a related field
  • 7+ years of experience in digital design verification
  • Strong hands-on experience with UVM-based or similar verification methodologies
  • Proficiency in SystemVerilog, UVM, and Python
  • Experience with industry-standard EDA tools (e.g., Synopsys VCS, Siemens/Mentor Questa, Cadence Xcelium)
  • Solid understanding of digital design fundamentals
  • Experience verifying standard bus and interconnect protocols such as AXI, AXI-S, and APB
  • Experience with high-speed communication protocols including PCIe, Ethernet (10G/40G/100G), SPI, and I²C
  • Strong analytical and problem-solving skills
  • Clear written and verbal communication skills for cross-functional collaboration
  • High attention to detail and ability to deliver reliable, high-quality verification outcomes
  • Ability to work independently and manage tasks to completion

Desired Skills:

  • Experience with formal verification techniques and tools
  • Experience verifying processor subsystems or SoC-level designs

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Delos 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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