Performance Modeling Engineer
$175k - $370k • San Jose • FullTime
Posted 5mo ago
Remote Work Policy
On-site
Employment Type
FullTime
Categories
Applied AI Engineer
About the job
Etched is building hardware for frontier intelligence, focusing on co-designing chips, racks, software, and manufacturing to deliver best-in-class throughput and latency for inference workloads. Backed by significant investment and staffed by leading engineers, Etched is redefining the infrastructure layer for the AI industry. This role involves developing performance models, analyzing deep learning workloads on hardware, driving hardware/software co-optimization, and validating performance projections against real systems.
Responsibilities
- Develop comprehensive performance models and projections for the architecture across varying workloads and configurations.
- Profile and analyze deep learning workloads on hardware to identify bottlenecks and optimization opportunities.
- Drive hardware/software co-optimization by identifying architectural features for 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.
Requirements
- Strong performance modeling and analysis skills with experience building analytical-based or simulation-based performance models.
- Solid understanding of computer architecture and micro-architecture, particularly for accelerators.
- Experience profiling and analyzing deep learning workloads on hardware accelerators (GPUs, TPUs, ASICs, FPGAs, or others).
- Solid software engineering fundamentals with an eye toward auditability and maintainability.
- Deep knowledge of GPU architectures and/or 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 (gem5, trace-driven simulators, custom models).
- 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
- 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