Software Engineering Manager leading the Simulation Execution & Performance team at Zoox. Overseeing development of robust, scalable software systems for autonomous vehicle simulations.
Responsibilities
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)
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
Benefits
Health insurance
Paid time off (e.g. sick leave, vacation, bereavement)
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