Performance Modeling Engineer

Etched
San Jose
Workplace: OnsiteFull timeUSD 175,000 - 275,000 annuallyFunction: Software EngineeringSkills: ["Problem-solving","Analytical thinking","Communication","Team collaboration"]

Performance Engineer role focused on modeling and optimizing transformer inference workloads across diverse architectures. You’ll develop analytical and simulation-based performance models, profile deep learning workloads on accelerators, collaborate with hardware teams on micro-architectural decisions, and drive cross-layer optimization to maximize efficiency from circuits to workloads in a fully in-person San Jose team.

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FursaFursa
Etched
Etched
9 months ago

Performance Modeling Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Performance Engineer role focused on modeling and optimizing transformer inference workloads across diverse architectures. You’ll develop analytical and simulation-based performance models, profile deep learning workloads on accelerators, collaborate with hardware teams on micro-architectural decisions, and drive cross-layer optimization to maximize efficiency from circuits to workloads in a fully in-person San Jose team.
Location: San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Develop performance models and projections for transformer-specific architecture across workloads and configurations
  • •Profile and analyze deep learning workloads on hardware accelerators to identify micro-architectural bottlenecks
  • •Build analytical and simulation-based models to predict performance under various architectural configurations and trade-offs
  • •Collaborate with hardware architects to inform design decisions based on workload characteristics and performance analysis
  • •Drive hardware/software co-optimization by identifying features that unlock significant performance improvements

Pay and Benefits

Salary: USD 175,000 - 275,000 annually
Perks:MedicalDentalVisionHousing SubsidyRelocation SupportWellness StipendMeal Allowance

Key Requirements

  • •Deep expertise in computer architecture and micro-architecture, particularly for accelerators or domain-specific architectures
  • •Strong performance modeling and analysis skills with experience building analytical or simulation-based performance models
  • •Experience profiling and optimizing deep learning workloads on hardware accelerators (GPUs, TPUs, ASICs, FPGAs)
  • •Strong understanding of hardware/software co-design principles and cross-layer optimization
  • •Solid foundation in digital circuit design and how micro-architectural decisions impact performance
Experience:Hardware accelerationTransformersAI accelerators
Skills:Problem-solvingAnalytical thinkingCommunicationTeam collaboration
Tech Stack:GPUCUDAASICFPGAGem5

Company Brief

Etched
Designs transformer‑specialized AI inference ASICs (product: Sohu) to accelerate large‑language‑model workloads, working with TSMC for fabrication and targeting energy‑efficient inference performance.
Industry: Hardware Devices
Company Size: Medium (51 to 250 employees)
Growth: Early Stage Startup
Valuation: Unicorn (USD 1B+)
Funding: Series A
Headquarters: San Jose, United States
Founded: 2022
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