Senior Software Engineer, Cloud Image/ML Compute Architecture

What you'll do

• Build and deploy the cloud image-processing and ML serving stack, including runtime integration, request batching, and customer data feeds.
• Design and benchmark low-latency distributed image-processing systems and define interfaces for data pipelines to call optimized native code.
• Own verification and validation, document designs and interfaces, and mentor engineers.

What they ask for

• Bachelor's or Master's degree in a stated or related technical field.
• 6+ years of professional software engineering experience, including technical leadership on distributed computation or data-intensive systems.
• Expert-level C++ and strong Python skills; production PyTorch experience running models in C++ cloud runtimes using LibTorch or equivalent.
• Demonstrated experience architecting distributed systems for low-latency image and ML, data analysis, or computer vision; ability and willingness to obtain and maintain a U.S. security clearance.

Nice to have

• Experience with non-GPU accelerators, inference optimization, GPU acceleration, or CI/CD for containerized workloads.
• Production ownership of latency-critical systems or experience in space, aerospace, or other mission-critical software environments.

Pay

USD $232,000 - $261,000 base salary

Tools

C++, PyTorch, LibTorch, Python, TPUs, CUDA, HIP

AI focus

Builds production ML model serving infrastructure and supports model inference optimization for imaging workloads.