Performance Modeling Engineer
Etched - San Jose, CA, United States
Posted Apr 21, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
-
- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified
- Salary
- Not verified
- 401(k) match
- Not verified
Was this benefit information wrong? Tell us.
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Performance Modeling Engineer San Jose, CA, United States About Etched Etched is building the world's first AI inference system purpose-built for transformers - delivering over 10x higher performance and dramatically lower cost and latency than a B200. With Etched ASICs, you can build products that would be impossible with GPUs, like real-time video generation models and extremely deep & parallel chain-of-thought reasoning agents. 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 Sohu's transformer-specific architecture across varying workloads and configurations - Profile and analyze deep learning workloads on Sohu 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
Read the full description at jobs.ashbyhq.com. FewerJobs shows a source-linked preview and links to the original posting.
Apply link not verified; last-live date unavailable.
What verified means
Verified means a displayed claim has a recorded source field, a source URL when available, and a timestamp showing when FewerJobs checked or enriched the evidence.
Related jobs
-
Systems Engineer - (Execution) - Level 3/4
Northrop Grumman - United States-Alabama-Huntsville
-
Business Analyst (Top Secret cleared)
ICF International INC - Washington, DC
-
Engineering Project Specialist II (Full Time) - United State
Cisco - San Jose, California, US
-
Automation AI Ops Engineer
Cisco - 2 Locations