
General Motors Company is an American multinational automotive manufacturing company headquartered in Detroit, Michigan, United States
Automated Driving Performance HIL Infrastructure Engineer
Job Description The Role
Join an enthusiastic and cutting-edge team here at General Motors in the Automated Driving Performance HIL team! ADAS is a rapidly developing domain, deploying multiple new features, subsystems and sensing systems to the vehicle, and a key part of GM’s Zero Crashes, Zero Emissions, Zero Congestion vision. This is a great opportunity to join our team as an Automated Driving Performance HIL Infrastructure Engineer!
Our group is responsible for a simulation toolchain used to evaluate the vehicle level performance of ADAS control features. The toolchain is anchored in a realistic 3D virtual environment, and represents sensors, physical vehicle systems, and control systems utilizing a variety of hardware (HiL) configurations running in real-time.
You’ll partner with software, capability, and program execution teams to move their testing from prototype vehicles to the virtual domain, working on features such as automatic emergency braking, lane keeping assist, adaptive cruise control, Super Cruise lane centering and more.
This role involves simulation capability and toolchain development as well as some program execution support as related to ensuring the team delivers results on time and with quality.
What You'll Do
- Create & integrate models, software and hardware into our simulation infrastructure
These can include Simulink models to represent consumed serial data, 3d virtual road network and traffic scenarios, Carsim, dSPACE ASM & other plant models to represent the vehicle’s physical systems, and sensor models used by the ADAS controller
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Manage hardware-in-the-loop simulators (dSPACE, etc.) to support customers’ automated driving control code development and validation objectives
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Partner with the ADAS community to identify new opportunities to utilize simulation, decreasing reliance on physical test properties
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Advance the development of the core co-simulation infrastructure. Scout new technology & methods for opportunities to improve system capability, efficiency and robustness
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Actively foster a collaborative and productive work environment
Your Skills & Abilities
- Experience with any of the following:
Model, software, or hardware in the loop control system simulation experience, especially with d
SPACE HiL and Simulink:
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Vehicle controls system experience (ADAS, chassis controls, powertrain controls, etc.), in algorithm development or calibration. Including expertise with CAN or automotive ethernet.
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Active safety, automated driving, or autonomous vehicle related experience – in software development, calibration, design/release, testing, or validation.
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Bachelor of Science degree in Electrical Engineering, Computer Engineering, Computer Science, Mechanical Engineering or other related engineering degree
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5yrs of experience with 3yrs of experience in HIL simulation and test execution
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Excellent interpersonal skills to work in a highly collaborative, diverse, multi-functional team and with a broad customer base
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High level of analytical ability where problems are unusual, difficult and ambiguous
What Will Give You A Competitive Edge
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Virtual environment and sensor modeling software experience- such as d Space ASM/Aurelion, Car Sim, Hexagon Virtual Test Drive (VTD), CARLA, Carmaker, Prescan, SCANeR, r Factor, Forum8, or Mathworks Automated Driving System Toolbox
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Experience with SOME/IP.
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Experience with Software Defined Vehicle (SDV).
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Background with Python scripting for test automation applications
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Vehicle dynamics / brakes / steering / chassis controls experience, especially in controls simulation
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Experience with automotive control system instrumentation, such as INCA or ETAS
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Data analytics experience
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Autodesk 3ds Max, Unity, Unreal, or other computer graphics / visual effects experience
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Full motion or static driving simulator experience
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Master of Science degree in Electrical Engineering, Computer Engineering, Computer Science, Mechanical Engineering or other related engineering degree
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5yrs experience in HIL simulation and test execution
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Experience with Vector tools in HIL simulation and test execution.
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.
This job may be eligible for relocation benefits.
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.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
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General Motors 소개

General Motors
PublicGeneral Motors Company (GM) is an American multinational automotive manufacturing company headquartered in Detroit, Michigan, United States. The company is most known for owning and manufacturing four automobile brands: Chevrolet, Buick, GMC, and Cadillac, each a separate division of GM.
10,001+
직원 수
Milford
본사 위치
$46B
기업 가치
리뷰
10개 리뷰
3.9
10개 리뷰
워라밸
3.8
보상
4.2
문화
3.6
커리어
2.8
경영진
3.2
72%
지인 추천률
장점
Good benefits and compensation
Flexible work arrangements and remote options
Supportive colleagues and teamwork
단점
Limited growth and upward mobility
Bureaucratic and slow decision-making
Management inconsistency and communication issues
연봉 정보
15개 데이터
Mid/L4
Mid/L4 · Assistant Manager - Customer Experience
2개 리포트
$149,386
총 연봉
기본급
$129,727
주식
-
보너스
-
$136,754
$161,618
면접 후기
후기 4개
난이도
3.0
/ 5
소요 기간
14-28주
면접 과정
1
Application Review
2
Coding Assessment
3
HireVue Behavioral Assessment
4
Phone Screen
5
Final Interview
자주 나오는 질문
Coding/Algorithm
Behavioral/STAR
Technical Knowledge
Past Experience
최근 소식
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