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General Motors
Sunnyvale, California, United States of America; GM Automation - Sunnyvale - GM Automation - Sunnyvale
Source: General Motors careers · View original posting
From General Motors's posting. “We” and “our” refer to the employer.
Job Description
General Motors is a global leader in advanced driver assistance . With Super Cruise hands-free technology in more than 500,000 Super Cruise-equipped vehicles on the road, and over 700 million hands ‑ free miles driven, GM is proving that automation can be trusted, intuitive, and helpful. GM has the global reach to bring cutting ‑ edge advances to everyday drivers at unprecedented scale. Join us to help deliver the next generation of safe and delightful personal autonomous vehicle experiences.
The Evaluation team builds and evolves the evaluation ecosystem that powers developing and scaling GM’s autonomous driving technology. We develop metrics, automated workflows, and analysis approaches that enable data-driven decisions across AV development and verification. Partnering with Autonomy, Simulation, Systems, and Safety teams, we act as system-level integrators and arbiters of end-to-end AV quality.
We own large scale test scenario libraries, continuous evaluation pipelines, and critical risk assessment and release gating components, treating road testing, data mining, training, and metrics as first-class use cases in a unified analytics framework. By joining this team, you will help shape GM’s core evaluation platforms, turn system-level results into clear feedback, and help accelerate validated AV deployment at scale.
Experience in autonomous driving or high-stakes field robotics; designing, running, and interpreting large-scale simulation and field experiments.
Deep familiarity with statistical modeling, experimental design, and hypothesis testing for autonomy evaluation; command of Pandas, NumPy, SciPy, and visualization libraries.
Proficiency in C++ and SQL, and experience shaping logging, data schemas, and evaluation pipelines for large-scale autonomy testing.
Experience working with ROS or other IPC, robotics stack logging, and with large-scale experiment databases, including designing or scaling evaluation platforms.
Prior development with computational geometry, linear algebra, PyTorch , and machine learning.
Background in modeling agent interaction and owning or designing release gating criteria and processes for autonomy systems.
This role is categorized as hybrid. This means the successful candidate is expected to report to the Sunnyvale or Mountain View office three times per week.
*This job may be eligible for relocation benefits if you are interested in relocating to the bay area.
Compensation
The salary range for this role is $185,00 and $284,100. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
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