ASIC Architect

Job Summary

We are seeking a talented Computer Architect to join our architecture team and contribute to the design of next-generation AI accelerators. This role focuses on developing and optimizing compute architectures that deliver exceptional performance and efficiency for inference workloads. You will work on cutting-edge architectural problems and performance modeling with deep cross-functional collaboration to bring innovative chip designs from concept to silicon.

Key Responsibilities

• Design and analyze chip architectures optimized for AI/ML workloads, with focus on throughput, latency, and power efficiency
• Contribute to power and area estimation methodologies for early-stage, next generation architectural exploration
• Create architectural specifications and interface definitions for compute blocks and subsystems
• Collaborate with RTL, verification, physical design, and software teams to ensure architectural feasibility and ultimate optimization
• Conduct architectural experiments using cycle-accurate simulators and analytical models
• Support integration efforts by providing architectural guidance and resolving design challenges

You may be a good fit if you have

• PhD in Computer Science, Electrical Engineering, Computer Engineering, or related field
• 5+ years of experience in computer architecture, ASIC design, or related fields
• Strong understanding of computer architecture fundamentals including pipelines, memory hierarchies, and interconnects
• Experience with performance modeling and architectural simulation tools
• Hands-on experience designing and optimizing floating-point datapaths or arithmetic-intensive circuits and working with advanced process nodes.
• Proficiency in Rust, C/C++, or Python for modeling and analysis
• Knowledge of modern processor microarchitecture and design tradeoffs
• Strong analytical and problem-solving skills with attention to detail
• Excellent communication skills and ability to work in cross-functional teams

Strong candidates may also have experience with

• AI/ML accelerator architectures and dataflow optimization
• RTL design and verification (Verilog/SystemVerilog)
• Cycle-accurate simulation tools (gem5, SystemC, or custom simulators)
• Power and performance analysis methodologies
• ASIC design flow and physical design constraints
• Publishing or presenting at architecture conferences (ISCA, MICRO, HPCA, etc.)
• Hands-on experience with tapeout and silicon bring-up

Benefits

• Medical, dental, and vision packages with generous premium coverage
• $500 per month credit for waiving medical benefits
• Housing subsidy of $2.5k per month for those living within walking distance of the office
• Relocation support for those moving to San Jose (Santana Row)
• Various wellness benefits covering fitness, mental health, and more
• Daily lunch + dinner in our office
• Unlimited compute budget subject to ROI justification

• How we’re different
• Etched believes in the Bitter Lesson We are the first inference-focused frontier AI system. Our addressable market is the entirety of inference, unlike many of our competitors.
• We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed.