Senior Computer Vision Engineer - High-Performance Imaging

Muon Space, Inc.; San Jose (CA); Hybrid; USD 190,000 - 212,000; Full time

Benefits offered by this job

Equity

Health insurance

401k

Paid vacation

Parental leave

Sick time

Life insurance

Job summary

Muon Space, Inc. in San Jose, CA seeks a Software Engineer specialized in Computer Vision and Image Processing to re‑implement expensive imaging‑pipeline stages in C++/GPU for high throughput, low latency production services with Python bindings.

You will work on on‑site, hybrid, hardware‑accelerated workflows and collaborate with the HPC team to port critical stages, verify performance, and own interfaces and tests.

Qualifications

• Bachelor's or Master's degree in a technical field.
• 3+ years of professional experience developing performance‑critical C++ software in production.
• Expert‑level C++ with memory management and concurrency focus.
• Hands‑on experience with image processing and geospatial formats.

Responsibilities

• Implement and re‑implement imaging‑pipeline stages in performant C++, exposing to Python.
• Reduce latency with GPU‑accelerated orthorectification and other stages.
• Port high‑value stages from Python to C++/GPU and drive migrations.
• Contribute to high‑performance reference algorithms and benchmarks.
• Collaborate with HPC GPU specialists for acceleration.
• Own verification and validation, including CI tests.
• Produce designs, trade studies, and interface documentation.

Skills

C++ performance

Memory management

Concurrency

Production software

Python integration

Image processing

Geospatial formats

Education

Bachelor's or Master's in CS/EE/Applied Math

Tools

CUDA

Job description

Muon Space, Inc. in San Jose, CA seeks a Software Engineer specialized in Computer Vision and Image Processing to re‑implement expensive imaging‑pipeline stages in C++/GPU for high throughput, low latency production services with Python bindings.

You will work on on‑site, hybrid, hardware‑accelerated workflows and collaborate with the HPC team to port critical stages, verify performance, and own interfaces and tests.