Performance Modeling Engineer
Etched, San Jose
- Pay
- $175K–$370K / year
- Work type
- Onsite
- Level
- Not stated
- Area
- Software engineering, Inference & ML systems, ML / AI engineering
- Posted
- Apr 21, 2026
About the role
About Etched
Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history.
Key responsibilities
- Develop comprehensive performance models and projections for our architecture across varying workloads and configurations
- Profile and analyze deep learning workloads on our hardware to identify micro-architectural bottlenecks and influence optimization opportunities
- Drive hardware/software co-optimization by identifying where architectural features can 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, proof-of-concept, and architecting phases
You may be a good fit if you have at least one of the following:
- 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
Strong candidates may also have
- 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
How we’re different
Etched believes in the Bitter Lesson http://www.incompleteideas.net/IncIdeas/BitterLesson.html. We are the first inference-focused frontier AI system. Our addressable market is the entirety of inference, unlike many of our competitors.
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Listed on Etched's Ashby job board; checked 26 h ago. First seen by us 28 h ago. Being listed doesn't mean the team is actively interviewing.