Lead, mentor, and inspire a growing team of world-class software and performance engineers.
Own the end-to-end architecture of simulation execution systems, ensuring seamless execution across both local developer workstations and distributed cloud environments.
Direct comprehensive performance engineering initiatives, including rigorous benchmarking, systems profiling, and deep-dive root cause analysis of complex bottlenecks.
Drive systematic improvements to the simulator's runtime performance, optimizing CPU/memory utilization and dramatically reducing execution latency.
Drive the architectural decoupling of the core simulation engine from infrastructure orchestration, creating a highly modular and scalable execution pipeline.
Design and build robust APIs and SDKs (Python, C++, REST) that allow autonomy workflows to easily configure, execute, and interact with the simulator.
Create telemetry and dashboards to continuously track and improve execution speed.
Drive cross-functional collaboration with autonomy, QA, and infrastructure teams to deliver a frictionless, high-speed developer experience.
Requirements
Proven track record of developing top engineering talent and managing high-performing teams (3+ years of engineering management experience) and demonstrated ability to drive complex software architecture and performance optimization projects from conception to delivery.
Bachelor's or advanced degree in Computer Science, Computer Engineering, or a related technical field.
Expert-level programming skills in C++, with strong proficiency in Python.
Hands-on experience with systems-level performance profiling, bottleneck analysis, and C++ optimization techniques.
Deep understanding of system design, developer tooling, API/SDK design, and distributed computing.
Tech Stack
Cloud
Python
Benefits
paid time off (e.g. sick leave, vacation, bereavement)