Senior HPC Software Engineer: Cloud Image & ML

Muon Space; San Jose (CA); Hybrid; USD 232,000 - 261,000; Full time

Benefits offered by this job

Equity compensation

Medical insurance

Dental insurance

Vision insurance

401k retirement plan

Short & long term disability insurance

Life insurance

3 weeks paid vacation

12 paid holidays

Unlimited sick time

Paid parental leave

Job summary

Muon Space is seeking an experienced Architect to lead the cloud image processing and ML serving stack for our ground data products. You will design, build, and deploy a low-latency serving platform in production that runs image algorithms and ML models.

You'll mentor engineers on modern C++, image and ML runtimes, and distributed-systems design, while owning verification, performance tests, and interface documentation.

Qualifications

• Bachelor's or Master's degree in CS/CE/EE/Applied Math or related field.
• 6+ years of professional software engineering, including leadership on distributed computation or data-intensive systems.
• Expert-level C++, memory management, concurrency, performance-oriented production code.
• Strong PyTorch experience and production ML in C++ runtimes (LibTorch).
• Distributed systems for low-latency image and ML, data analysis, or computer vision.
• Strong Python skills with native-optimized integrations.
• Ability to obtain/maintain U.S. security clearance (active clearance a plus).

Responsibilities

• Architect, develop, align and deploy the cloud image processing and ML serving stack for Muon's ground data products, including runtime integration, request batching, and serving multiple customer data feeds.
• Design distributed, low-latency image processing systems that scale in the cloud.
• Define the patterns and interfaces by which data pipelines call into performant native/accelerated code.
• Set up a production-grade image processing and ML serving path for the Image Data Product pipeline, and extend to future missions.
• Deliver high-performance reference algorithm implementations and benchmark them.
• Mentor other engineers on modern C++, image/ML runtimes, and distributed-systems design.
• Own verification and validation, including unit, integration, and performance regression tests.
• Produce clear designs, trade studies, and interface documentation.

Skills

C++

PyTorch

Python

Distributed systems

Low-latency optimization

Leadership

Education

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

Tools

LibTorch

Job description

Muon Space is seeking an experienced Architect to lead the cloud image processing and ML serving stack for our ground data products. You will design, build, and deploy a low-latency serving platform in production that runs image algorithms and ML models.

You'll mentor engineers on modern C++, image and ML runtimes, and distributed-systems design, while owning verification, performance tests, and interface documentation.