High-Performance Computer Vision Engineer (C++/GPU Imaging)

Muon Space

San Jose (CA)

On-site

USD 190,000 - 212,000

Full time

7 days ago
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Benefits offered by this job

Equity compensation
Medical, dental, vision insurance
401k retirement plan
Three weeks of vacation
12 paid holidays
Unlimited sick time
Paid parental leave

Job summary

Muon Space in the heart of Silicon Valley is seeking a hands-on imaging specialist to re-implement expensive imaging-pipeline stages in C++ for production at scale. You will expose high-throughput, low-latency services to Python and collaborate with the image data products team on migration strategies.

The role requires expert C++, strong Python skills, and experience with GPU-accelerated workflows. You will participate in CI verification and work with cross-functional teams to ship reliable,

Qualifications

  • Bachelor's or Master's degree in CS/Engineering or related field.
  • 3+ years of professional experience developing performance-critical C++ software in production.
  • Expert-level C++ with memory management, concurrency and performance focus.
  • Hands-on experience with bundle adjustment, orthorectification, and image formats.
  • Experience building high-throughput, low-latency image-processing services.
  • Experience integrating C++ components into Python pipelines.
  • Strong Python skills and ability to lead cross-functional discussions.
  • Ability and willingness to obtain/maintain a U.S. security clearance.

Responsibilities

  • Implement expensive imaging-pipeline stages in performant C++, exposing them to Python.
  • Drive down latency by replacing stages with optimized implementations (GPU-based orthorectification).
  • Port high-value stages from Python to C++/GPU and guide migrations to completion.
  • Contribute to high-performance reference algorithms and benchmark them.
  • Partner with HPC GPU specialists to accelerate workloads.
  • Own verification/validation, including unit/integration and performance tests in CI.

Skills

C++ expert
Python
GPU acceleration
Memory management
Concurrency
Bundle adjustment
Image processing
Python integration

Education

Degree in CS/Engineering

Tools

CUDA

Job description

Muon Space in the heart of Silicon Valley is seeking a hands-on imaging specialist to re-implement expensive imaging-pipeline stages in C++ for production at scale. You will expose high-throughput, low-latency services to Python and collaborate with the image data products team on migration strategies.

The role requires expert C++, strong Python skills, and experience with GPU-accelerated workflows. You will participate in CI verification and work with cross-functional teams to ship reliable,

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