Senior Computer Vision Engineer – High-Perf C++/GPU

Muonspace; San Jose (CA); On-site; USD 190,000 - 212,000; Full time

Benefits offered by this job

Equity compensation

Medical insurance

Dental insurance

Vision insurance

401k retirement plan

Short & long term disability

Life insurance

Paid vacation

Paid holidays

Sick time

Parental leave

Job summary

Muon Space is expanding its HPC team to accelerate mission-critical data products and run image processing and ML workloads at scale. This hands-on role targets re-implementing expensive imaging-pipeline stages in high-throughput C++/GPU-accelerated forms, with Python bindings for orchestration.

You will own and optimize stages like bundle adjustment and orthorectification, work with image data product teams to migrate workloads, and contribute to performance benchmarks while aligning with

Qualifications

• Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Applied Math, or a related technical field.
• 3+ years of professional experience developing performance-critical C++ software in production.
• Expert-level C++, with memory management, concurrency, and performance-oriented programming.
• Hands-on experience with bundle adjustment, orthorectification, and common image and geospatial formats.
• Demonstrated experience building high-throughput, low-latency image-processing services.
• Experience integrating C++ components into Python pipelines.
• Strong Python skills.
• Strong written and verbal communication and ability to lead cross-functional technical discussions.
• Ability and willingness to obtain and maintain a U.S. security clearance. Active clearance is a plus.

Responsibilities

• Implement and re-implement expensive imaging-pipeline stages in performant C++, including bundle adjustment, orthorectification, and image format handling, and expose them cleanly to Python.
• Drive down IR Data Product pipeline latency by replacing expensive stages with optimized implementations (e.g. GPU-based orthorectification).
• Work with the image data products team to port high-value stages from Python to C++/GPU and drive migrations to completion.
• Contribute to high-performance reference algorithms and benchmark them.
• Partner with HPC GPU specialists where workloads benefit from GPU acceleration.
• Own verification and validation, including unit, integration, and performance regression tests in CI.
• Produce clear designs, trade studies, and interface documentation.

Skills

High-performance C++

Python

GPU acceleration

Concurrency

Memory management

Image processing

Geospatial formats

C++/Python integration

Strong communication

Security clearance (US)

CUDA

Photogrammetry/remote sensing

High-throughput data movement

CI/CD for containers

Space/aerospace exposure

Education

Bachelor's or Master's degree in a related technical field

Tools

CUDA

Job description

Muon Space is expanding its HPC team to accelerate mission-critical data products and run image processing and ML workloads at scale. This hands-on role targets re-implementing expensive imaging-pipeline stages in high-throughput C++/GPU-accelerated forms, with Python bindings for orchestration.

You will own and optimize stages like bundle adjustment and orthorectification, work with image data product teams to migrate workloads, and contribute to performance benchmarks while aligning with