RTL Design Engineer

Acceler8
Palo Alto, CA, United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Software Debugging Digital Electronics Logic Synthesis of Circuits Hardware Design Static Timing Analysis System on a Chip SystemVerilog Verilog Graphics Processing Unit (GPU) Application Specific Integrated Circuits Large Language Models
+5 more
Concurrency State Machines Computer Equipment Physical Design Model Inference

Job description

An early-stage, venture-backed AI semiconductor startup is seeking an experienced RTL Design Engineer to help develop a next-generation chip purpose-built for large language model (LLM) inference.

The company is developing a specialized AI accelerator alongside its supporting software stack, with a focus on delivering efficient, high-performance inference.

This is a hands-on engineering role offering significant ownership across digital design, microarchitecture, verification, and physical implementation. You’ll play a key role in bringing the company’s first generation of silicon from architectural concepts through implementation and tapeout., * Translate high-level architectural specifications into detailed block-level microarchitecture and synthesizable RTL.

  • Design, implement, and optimize complex datapaths, control logic, and inter-block interfaces.
  • Make architectural and implementation trade-offs involving throughput, latency, power, area, and timing.
  • Own RTL development, debugging, and integration for significant portions of the ASIC/SoC design.
  • Collaborate with verification engineers to define expected functionality, debug failures, and resolve complex corner cases.
  • Work closely with physical design teams to analyze synthesis results, timing constraints, and implementation feedback.
  • Drive design improvements based on timing, power, and area requirements.
  • Take ownership of assigned design blocks through integration, verification closure, and tapeout readiness.
  • Document key design decisions, implementation risks, and technical trade-offs., * Opportunity to help develop a purpose-built LLM inference accelerator from the ground up.
  • Significant ownership of RTL and microarchitecture for first-generation silicon.
  • Work directly with a highly technical founding engineering team.
  • Influence key architectural decisions, design methodologies, and implementation strategies.
  • Hands-on engineering environment with broad technical exposure and minimal organizational layers.
  • Opportunity to make a meaningful impact on the development of next-generation AI computing hardware.

Hiring Process

The interview process typically consists of two to three conversations, including technical discussions covering previous projects, RTL design experience, and engineering problem-solving.

Requirements

  • Extensive experience in digital hardware design, with significant hands-on ownership of ASIC or SoC RTL development.
  • Strong proficiency in Verilog and/or SystemVerilog.
  • Proven ability to develop complex RTL from architectural specifications through implementation.
  • Deep understanding of digital microarchitecture, including datapaths, state machines, control logic, concurrency, and cycle-level behavior.
  • Strong knowledge of power, performance, and area (PPA) optimization and how RTL design choices influence physical implementation.
  • Experience debugging complex RTL issues and resolving functional or timing-related challenges.
  • Demonstrated collaboration with verification, microarchitecture, and physical design teams.
  • Staff-to-Principal-level technical judgment, combined with a willingness to remain highly hands-on in RTL design and debugging., * Experience designing AI accelerators, inference ASICs, GPUs, or other high-performance compute silicon.
  • Familiarity with LLM inference workloads and specialized compute architectures.
  • Experience with synthesis, static timing analysis, and physical design feedback.
  • Previous involvement in successful ASIC/SoC tapeouts.
  • Background working on first-generation silicon or early-stage hardware development.
  • Experience collaborating across architecture, design verification, and physical implementation.

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