Performance Modeling Engineer

Responsibilities

• Develop comprehensive performance models and projections for architecture across varying workloads and configurations
• Profile and analyze deep learning workloads on hardware to identify micro-architectural bottlenecks
• Drive hardware/software co-optimization by identifying architectural features that unlock performance improvements
• Run regressions and validate performance models against real systems and silicon
• Inform next-generation architectural decisions by pathfinding across system and silicon options during design and proof-of-concept phases

Requirements

• Strong performance modeling and analysis skills with experience building analytical or simulation-based models
• Solid understanding of computer architecture and micro-architecture, particularly for accelerators
• Experience profiling and analyzing deep learning workloads on hardware accelerators such as GPUs, TPUs, ASICs, or FPGAs
• Solid software engineering fundamentals with an eye toward auditability and maintainability

Preferred Qualifications

• Deep knowledge of GPU architectures and programming models like CUDA
• Experience mapping models to multi-chip inference systems
• Familiarity with transformer model architectures and inference serving optimizations
• Experience with architecture simulators and performance modeling tools such as gem5 or trace-driven simulators
• Exposure to ASIC, FPGA, or CGRA-based accelerator development and hardware/software co-design principles
• Published research in computer architecture, ML systems, or hardware acceleration

Benefits

• Medical, dental, and vision packages with generous premium coverage
• $500 per month credit for waiving medical benefits
• $2,000 per month housing subsidy for those living within walking distance of the office
• Relocation support for those moving to San Jose
• Wellness benefits covering fitness, mental health, and more
• Daily lunch and dinner in the office
• Unlimited compute budget subject to ROI justification

About the Company

Etched builds hardware for frontier intelligence, co-designing chips, racks, software, and manufacturing to deliver best-in-class throughput and latency for inference workloads. The company is backed by top-tier investors and is betting early on transformer and transformer-like architectures.