Manager, Simulation Execution & Performance

zoox

4100

Seattle, WA, USA

Posted on: 2025-02-05

Category: emobility

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Employment type:

Full time

Experience required:

Intermediate

Salary

Salary not provided

About the company:

Zoox is transforming mobility-as-a-service by developing a fully autonomous, purpose-built fleet designed for AI to drive and humans to enjoy.

Zoox is seeking an exceptional Software Engineering Manager to lead our Simulation Execution & Performance team. This pivotal role will drive the development of robust, scalable, and ultra-high-performance software systems. Our team builds the essential tools, launchers, and APIs that empower software engineers across Zoox to run simulations quickly, accurately, and at scale. This platform is the backbone of hundreds of workflows, powering millions of scenarios daily and delivering precise, actionable metrics for the development of our cutting-edge autonomous vehicle software stack.

As the Manager for this critical area, you will spearhead the technical architecture of our simulation execution and own the overall execution efficiency of the simulator. You will lead a highly specialized team of software and performance engineers in modernizing legacy systems, building developer-centric APIs, and aggressively optimizing simulation runtime.

In this role, you will:

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.

Qualifications

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.

Bonus Qualifications

Experience in simulation, robotics, gaming engines, or autonomous systems is highly desirable.

Familiarity with large-scale cloud job orchestration or massive data pipelines.

Strong aptitude for understanding specialized end-user workflows and translating them into elegant, highly optimized technical solutions.

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