# Senior Performance Architect

**Company:** [Quadric](https://hotfix.jobs/companies/quadric)
**Location:** Burlingame, CA
**Role:** DevOps / SRE
**Experience:** 5+ years
**Skills:** C++, Python, Assembly, Computer Architecture, Profiling Tools, Perf, Vtune, PyTorch, TensorFlow, Onnx, Compilers, Performance Modeling, Simd, Caches, Memory Hierarchies
**Posted:** 2026-02-05

> Analyzes performance across software/hardware stack for neural processing unit, identifies bottlenecks from C++/Python to assembly, and prototypes optimizations. Requires 5+ years experience, deep architecture knowledge, and cross-team collaboration in a hybrid office role.

## Job Description

## Responsibilities
- Analyze application performance across the full stack: C++/Python source, compiler output, assembly, and hardware execution
- Identify and localize performance bottlenecks to specific code regions, assembly sequences, or architectural limitations
- Implement proof-of-concept fixes and optimizations to validate proposed solutions before broader rollout
- Develop and maintain profiling infrastructure, benchmarks, and performance regression tests
- Collaborate with compiler engineers to improve code generation and optimization passes
- Work with hardware architects to identify microarchitectural improvements and validate performance models
- Create performance models that predict workload behavior and guide optimization priorities
- Document findings and communicate performance insights to both technical and non-technical stakeholders
- Support customer engagements by analyzing their workloads and recommending optimizations

## Requirements
- BS/MS in Computer Science, Computer Engineering, or Electrical Engineering with 5+ years of performance analysis experience
- Strong proficiency in C++ and Python; ability to read, reason about, and write optimized code at the assembly level
- Hands-on mentality: comfortable implementing proof-of-concept solutions, not just identifying problems
- Deep understanding of computer architecture: pipelines, caches, memory hierarchies, SIMD/vector execution
- Experience with profiling tools (perf, VTune, custom trace analysis) and performance debugging methodologies
- Ability to trace performance issues from application behavior down to microarchitectural root causes
- Strong analytical and problem-solving skills with attention to detail
- Excellent communication skills; ability to explain complex performance issues to diverse audiences
- Experience working cross-functionally with compiler, runtime, and hardware teams

## Nice to Have
- Experience with ML/AI workloads and frameworks (PyTorch, TensorFlow, ONNX)
- Background in compiler development or code generation
- Experience with GPU, DSP, or custom accelerator architectures
- Familiarity with cycle-accurate simulation and performance modeling tools

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