Senior Software Engineer – Simulation Validation
Job Description
Job Description
Role Overview
As a Senior
Software
Simulation Validation Engineer, you will
be a
technical leader responsible for ensuring the quality and reliability of autonomous vehicle simulation platforms. The role bridges hands-on coding, protocol/process definition, integration of metrics, and automated regression monitoring — all foundational to verifying the performance, fidelity, and validity of
highly complex
simulation systems.
This position will follow both collaborative and technical
standards with
an emphasis on scalable, maintainable, and programmatic approaches.
About the organization
The GM Advanced Driver-Assistance Systems (ADAS) team develops and delivers intelligent,
safety, and convenience features to elevate every driver’s experience. By integrating
state-of-the-art
sensing,
perception
, and control technologies, GM ADAS empowers vehicles with
cutting-edge
capabilities
.
Our cross-functional experts collaborate to design scalable, reliable systems that set new standards for automotive innovation and make mobility
easier,
safer
and more
convenient
for all.
The Sim
Validation
team
at
GM
e
nsure
s
our
simulation environments accurately mirror real-world driving conditions and sensor interactions.
O
n the one hand,
b
y
measuring and
monitoring
t
he realism, accuracy, and coverage of our
virtual environments and sensor models, Sim
Validation
enables developers and engineers to
validate
autonomous and ADAS technologies with greater realism and confidence
.
On the other hand,
our validation methodologies
establish
a basis of trust
in
our simulation results and capabilities when reporting to
executives and regulator
y bodies
.
Our solutions reduce reliance on physical testing, streamline development, and
provide
essential insights that
guide
safer, more robust vehicle systems.
What you
and your team
will be doing
Build and
maintain
simulation fidelity and validity metrics, quantifying the gap between simulation and road
in novel ways
. Construct mechanisms to
attribut
e
issues
to components of s
imulation systems.
Design and
maintain
robust data ingestion and loading tools to support diverse simulation pipelines
Develop and
optimize
nodes in both C++ and Python to extract and aggregate metric outputs
at
scale
.
Create
,
maintain
,
and
monitor
test suites,
enabling automated regression detection
.
Debug, track, and report on
validity measures
, including deep root-cause analysis
. T
riage and
aid in the
prioritization of
resolving
validation issues.
Contribute
documentation in the form of
technical designs
,
experiment
results
and internal
publications
.
Conduct code reviews and
assist
teammates in tracking evolving requirements
and user workflows
.
Interface with cross-org partners to articulate requirements, resolve handoff issues, and share best practices.
Required Skills & Qualifications
3+ years of experience writing Python in a production environment (unit testing, code review, algorithm
performance
and tradeoffs, etc.). Demonstrated experience with C++.
Familiarity with data analysis,
e.g.
statistics
Familiarity with SQL, ROS,
numpy
&
scipy
, and plotting/visualization libraries
Excellent communication skills
and
ability to work independently, driving technical advances.
BS in Computer Science, Electrical Engineering, Mechanical Engineering,
Robotics, Aerospace
Engineering
or similar experience.
Bonus points
Experience building algorithms central to data analysis of engineering domains
Experience developing software solutions that are used across engineering teams
Experience with computational geometry, linear algebra, or Machine Learning
Experience with time-series data analysis and online performance monitoring tools
E
xperience in simulation/test engineering
or
automotive autonomy platforms
Experience automating pipelines,
maintaining
and troubleshooting test protocols
.
Familiarity with
some of
Google Cloud,
BigQuery
, containerized builds, large-scale continuous integration/
monitoring
or
Python
/
C++
interoperability
#GM-AV-1





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