Senior Systems Engineer – AV Sensing Design

General Motors

Austin (TX)

Sur place

USD 120 000 - 180 000

Plein temps

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Résumé du poste

General Motors is advancing hands-off autonomous driving systems for broad deployment; the role focuses on sensor system design, modeling, and performance verification to enable scalable deployment across vehicle programs.

You will work with simulation, vehicle integration, perception, and localization teams to ensure sensor performance meets product needs and to document decisions and trade-offs clearly.

Qualifications

  • Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science or a related technical discipline.
  • 5+ years of experience with sensor experience
  • Experience supporting sensor analysis, integration, and cross-domain technical initiatives
  • Technical depth in signal processing, link analysis, data analysis, or ML across at least one relevant sensing modality
  • Understand of the challenges of self-driving, and how those map to sensor needs
  • Demonstrated ability to contribute effectively in complex problem spaces and collaborate across teams
  • Experience with Matlab, Python, or other language to support data analysis and analysis tooling development

Responsabilités

  • Execute system-level trade studies for the design of multi-modality sensor systems with detailed modeling of performance and AV behavioral impacts
  • Develop detailed performance specifications for sensors based on sensor physics and signal processing
  • Assess performance against product needs to understand risk and drive continuous improvement
  • Work closely with simulation, vehicle integration, perception, localization, and validation teams to manage interdependencies
  • Clearly document technical decisions, trade-offs, and deliverables

Connaissances

Sensor analysis
Data analysis
Signal processing
ML concepts
Cross-functional collaboration

Formation

Bachelor’s degree in Electrical Engineering, Computer Engineering, or Computer Science

Outils

Matlab
Python

Description du poste

Job Description

General Motors is developing hands‑off and eyes‑off autonomous driving systems intended for broad deployment across consumer vehicles. As part of this effort, GM is investing in sensors and architectures that can be integrated, validated, and operated reliably at scale across diverse vehicle programs and operating environments.

What You’ll Do
  • Execute system‑level trade studies for the design of multi‑modality sensor systems supported by detailed modeling of performance and AV behavioral impacts
  • Develop detailed performance specifications for sensors supported by a strong understanding of sensor physics and signal processing.
  • Assess performance against product needs to assess risk, quantify impact, and drive continuous improvement
  • Work closely with cross‑functional stakeholders such as simulation, vehicle integration, perception, localization, and validation teams to manage complex interdependencies.
  • Clearly document technical decisions, trade‑offs, and deliverables.
Your Skills & Abilities (Required Qualifications)
  • Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical discipline
  • 5+ years of experience with B.S. with sensor experience
  • Experience supporting sensor analysis, integration, and cross‑domain technical initiatives
  • Technical depth in signal processing, link analysis, data analysis, or ML across at least one relevant sensing modality
  • Understand of the challenges of self‑driving, and how those map to sensor needs
  • Demonstrated ability to contribute effectively in complex problem spaces and collaborate across teams
  • Experience with Matlab, Python, or other language to support data analysis and analysis tooling development
What Will Give You a Competitive Edge (Preferred Qualifications)

Experience in one or more of the following areas is a plus:

  • Master’s or PhD degree in engineering or related technical discipline
  • Experience working on occupantless self‑driving autonomous vehicles or advanced remote sensing platforms
  • Experience with SPAD lidar and/or imaging radars
  • Experience conducting large‑scale sensor data analysis
  • Experience designing extrinsic calibration and sensor pointing accuracy requirements
  • Autonomous vehicle behavior modeling and assessment
  • Experience with sensor simulation model development
  • Experience designing autonomy use cases including sensor performance and/or vehicle behaviors and analyzing the resulting information
  • Experience designing test protocols from lab to vehicle level for performance analysis, simulation model development, or related
About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

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.

Benefits Overview

From day one, we’re looking out for your well‑being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non‑discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

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