Member of Technical Staff, Hardware, Physical Design Engineer
River AI · Austin, Texas Metropolitan Area · 3 days ago
On-siteEngineering$200k–$420k/yrFull-time
About the role
We are looking for exceptional physical design engineers to transform our high-performance architectural concepts into production-ready silicon. You will own the physical implementation flow from synthesis through tape-out, pushing the absolute limits of advanced foundry nodes to maximize PPA.
Responsibilities
- Drive Synthesis and Place-and-Route: Own the physical implementation flow from RTL synthesis through placement, clock tree synthesis (CTS), and routing for high-performance blocks.
- Maximize PPA: Optimize layout topologies to maximize cell density and utilization, architecting robust power delivery networks (PDN) to minimize IR drop and meet aggressive frequency targets on advanced foundry nodes.
- Close Timing & Electricals: Conduct static timing analysis (STA), fix setup/hold violations across complex clock domains, and resolve signal integrity (SI), electromigration (EM) and IR-drop constraints.
- Execute Physical Verification: Run and debug sign-off physical verification, including Design Rule Checking (DRC), Layout Versus Schematic (LVS), and Antenna rule compliance.
- Co-Design with RTL: Partner directly with the RTL team to provide early physical feedback on logic structures, pipeline depth, and routing congestion to streamline implementation closure.
- Advance Flow Automation: Integrate and develop next-generation AI-driven EDA tools and workflows to fundamentally accelerate the physical implementation cycle and optimize design closure.
Requirements
- Bachelor’s degree in Electrical Engineering or Computer Engineering, and 5+ years practical industry experience working with advanced process nodes (7nm or below).
- Deep hands-on proficiency with industry-standard physical design, timing, and sign-off tools (e.g., Innovus, Fusion Compiler, PrimeTime, RedHawk).
- Proven track record running logic synthesis, integrating compiled memory macros, and managing multi-voltage design techniques using power intent specifications (UPF/CPF).
- Exceptional debugging skills with a first-principles approach to navigating complex trade-offs between congestion, timing slack, and power density in highly utilized designs.
- A highly collaborative mindset and a bias for action to push boundaries and co-design effectively with RTL and architecture teams.
Qualifications
- An extensive track record of delivering high-performance SoCs, CPUs, GPUs, or AI accelerators through multiple successful production tape-outs.
- Hands-on experience optimizing physical layouts for highly parallel compute structures, such as systolic arrays, large tensor execution units, or high-bandwidth memory (HBM) interfaces.
- Experience custom-scripting or extending EDA tools (using Tcl, Python, or specialized ML APIs) to automate physical design closure and build bespoke workflow pipelines.
Skills
- Advanced knowledge of physical design tools and methodologies.
- Experience with advanced process node design flows.
- Strong understanding of timing, power, and area optimization techniques.
- Ability to work collaboratively with software and architecture teams.
Benefits
River AI offers generous health, dental, and vision benefits, unlimited PTO, and relocation support as needed.
Pay
Depending on background, skills, and experience, the expected annual salary range for this position is $200,000 - $420,000 USD.
Schedule
This role is full-time.