Software Engineer Simulation Infrastructure

What you'll do

• Improve test-run cost and duration through parallelism, scheduling, and effective use of the hardware fleet.
• Build and maintain backend services and a web frontend for launching runs, viewing results, and tracking quality trends.
• Maintain the platform as tested products evolve and respond quickly to pipeline outages.

What they ask for

• Strong software engineering fundamentals and deep proficiency in Python.
• Experience building and deploying HTTP services, working with relational databases, and using frontend technologies such as React or a comparable framework.
• Hands-on cloud infrastructure experience with containers, Kubernetes, object storage, and managed compute; solid networking and remote-execution fundamentals.
• Strong operating systems background on Linux, macOS, or a comparable platform; BS/MS/PhD in Computer Science or a related field, or equivalent experience.

Nice to have

• Experience with virtualization, machine fleets, test infrastructure, CI/CD systems, or developer tooling at scale.
• Working knowledge of Swift or C++; familiarity with Apple platforms, production authentication and authorization, applied cryptography, or production machine learning models.

Pay

$184,700 and $324,800 (base salary)

Tools

Python, FastAPI, Flask, Postgres, React, Kubernetes, TCP/IP, WebSockets

AI focus

Works on simulation technology supporting AI/ML projects, using traditional and generative AI techniques in simulation; production ML model experience is preferred.