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Principal Engineer, RTL Design

Job in Mountain View, Santa Clara County, California, 94043, USA
Listing for: Jconnect Infotech Inc
Full Time position
Listed on 2026-07-01
Job specializations:
  • Engineering
    Hardware Engineer, Systems Engineer, Test Engineer, Electronics Engineer
Job Description & How to Apply Below

Principal Engineer, RTL Design

Employment Type:

Contract

Location:

Mountain View, CA (Hybrid)

Project

Description:

This role leads the development of complete hardware subsystems, shapes RTL design methodologies, influences architectural decisions, and ensures delivery of high performance, power efficient, and scalable silicon. Operating with a high degree of autonomy, the role partners closely with architecture, software, verification, and platform teams, and contribute to the technical direction of CARIAD's hardware platforms.

Responsibilities

RTL Design & Architecture (40%)

  • Lead the design and implementation of complex RTL blocks, modules, and subsystems using Verilog/System Verilog for NPU architectures.
  • Collaborate with system and microarchitecture architects to define and refine specifications, translating requirements into robust RTL solutions.
  • Drive architectural and RTL decisions to optimize performance, power efficiency, and area (PPA) for AI workloads.
  • Design and optimize compute engines, data paths, and memory hierarchies for high bandwidth, latency sensitive neural network processing.

Design Optimization & Performance Analysis (40%)

  • Own timing analysis and timing closure strategies for complex designs, identifying and resolving critical paths.
  • Apply advanced low power techniques, including clock gating and power aware design methodologies, to meet aggressive power targets.
  • Lead area optimization efforts while preserving functional correctness and performance goals.
  • Ensure testability by guiding and implementing design for test (DFT) strategies to support silicon validation and manufacturing readiness.

Integration, Validation & Technical Leadership (10%)

  • Provide technical leadership during RTL integration, working closely with verification teams on simulation, emulation, and FPGA prototyping.
  • Partner with software, hardware, and system teams to ensure seamless integration of the NPU into the broader vehicle compute platform.
  • Review designs, mentor engineers, and set best practices for RTL quality, correctness, and maintainability.
  • Author and review technical documentation, including design specifications, architecture reviews, and implementation guidelines.

Technology Direction & Cross Functional Influence (10%)

  • Influence RTL and hardware development methodologies across programs, contributing to consistency and scalability of design practices.
  • Evaluate emerging tools, technologies, and design approaches relevant to AI accelerators and automotive hardware platforms.
  • Communicate complex technical concepts clearly to both technical and nontechnical stakeholders, supporting informed decision making.

Skills

Must have

  • Expert communicator across global, cross-cultural, and cross-functional teams.
  • Strong analytical, system level, and architectural thinking.
  • Proven ability to lead technical initiatives without direct authority.
  • High bar for design correctness, validation, and quality.
  • Collaborative mindset across hardware, software, and verification organizations.
  • Extensive experience in RTL design using Verilog/System Verilog for complex digital systems, preferably NPUs or AI accelerators.
  • Proficiency with EDA tools for synthesis, simulation, and timing analysis (Synopsys, Cadence, Mentor).
  • Strong understanding of computer architecture, microarchitecture, and hardware/software co-design.
  • Experience with FPGA prototyping, emulation platforms (e.g., VCS, Palladium), and HW/SW co-verification.
  • Scripting experience (Python, Perl) for automation and productivity.
  • Deep knowledge of low power design and power optimization techniques.

Nice to have

  • Knowledge of ADAS and automotive hardware requirements.
  • Experience with AI/ML acceleration and neural network processing architectures.
  • Background in high performance and parallel computing design.
  • Familiarity with functional safety concepts (ISO 26262) and safety critical hardware design.
  • Experience with advanced semiconductor process nodes and associated challenges.
  • Exposure to GenAI assisted engineering tools and modern, AI augmented development workflows.
  • Demonstrated track record of delivering complex RTL designs from concept through silicon production.
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