Joblaze summary

The Performance Modeling Engineer at Etched focuses on developing detailed performance models for their hardware architecture, analyzing deep learning workloads to pinpoint bottlenecks and optimization opportunities. Key skills include a strong grasp of computer architecture, experience with performance modeling tools, and familiarity with hardware accelerators. This role is suited for candidates with a solid background in performance analysis and software engineering, particularly those who have worked with GPUs or similar technologies. Etched emphasizes a collaborative environment where engineering and research intersect, fostering a culture of innovation.

Joblaze insights

Listed about a month ago — first seen on Joblaze September 21, 2026. Last confirmed on Etched's careers page November 14, 2026.
Deep Learning appears in 3.8% of 468 comparable mid ai/ml roles in United States; CUDA appears in 3.4% of 468 comparable mid ai/ml roles in United States.

Quick facts

Is the Performance Modeling Engineer role remote?: No — this is an on-site role in San Jose.
Where is the role based?: Etched is hiring for this position in San Jose.
What's the tech stack?: Joblaze extracted these technologies from the posting: ASICs, CUDA, Computer Architecture, Deep Learning, FPGAs, GPUs.
What seniority level is this role?: Etched targets mid-level candidates for this position.
Is this full-time or contract?: Full-time for this Performance Modeling Engineer role at Etched.

From the original posting

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
Daily lunch + dinner in our office
Unlimited compute budget subject to ROI justification

Standard company text repeated across Etched's postings is omitted here.

Performance Modeling Engineer

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