Manager, Simulation Execution & Performance
Company: Zoox
Location: Seattle
Posted on: April 1, 2026
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Job Description:
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. $200,000 - $285,000 a year Base
Salary Range There are three major components to compensation for
this position: salary, Amazon Restricted Stock Units (RSUs), and
Zoox Stock Appreciation Rights. A sign-on bonus may be offered as
part of the compensation package. The listed range applies only to
the base salary. Compensation will vary based on geographic
location and level. Leveling, as well as positioning within a
level, is determined by a range of factors, including, but not
limited to, a candidate's relevant years of experience, domain
knowledge, and interview performance. The salary range listed in
this posting is representative of the range of levels Zoox is
considering for this position. Zoox also offers a comprehensive
package of benefits, including paid time off (e.g. sick leave,
vacation, bereavement), unpaid time off, Zoox Stock Appreciation
Rights, Amazon RSUs, health insurance, long-term care insurance,
long-term and short-term disability insurance, and life insurance.
We may use artificial intelligence (AI) tools to support parts of
the hiring process, such as reviewing applications, analyzing
resumes, or assessing responses. These tools assist our recruitment
team but do not replace human judgment. Final hiring decisions are
ultimately made by humans. If you would like more information about
how your data is processed, please contact us.
Keywords: Zoox, Redmond , Manager, Simulation Execution & Performance, Engineering , Seattle, Washington
