Overview
On Site
Contract - W2
Contract - 12 month(s)
Skills
CruiseControl
Systems Architecture
Data Collection
Art
Data Analysis
HMI
Cyber Security
Partnership
System Testing
Workflow
MASS
Debugging
Computer Hardware
Test Plans
Test Methods
Grafana
Management
Testing
Scenario Testing
Startups
Communication
Tier 1
Mechanical Engineering
Agile
JIRA
Jama
Integration Testing
Python
Software Development
C++
ISO 9000
Project Management
Supplier Relationship Management
Cross-functional Team
Systems Engineering
Electrical Engineering
Computer Science
Job Details
Your Role:
- Be responsible for test validation of hardware/software components related to ADAS/AD highway driving & safety functions such as Adaptive Cruise Control, Highway Assist, Lane Change Assist, Lane Departure Protection etc.
- Contribute in discussions to system architecture development & feature requirements, and develop related validation tests on component and vehicle level
- Assist with the management to the definition and build-up of our fleet of prototype and series production vehicles for validation of ADAS/AD features, field operation testing, mileage accumulation and data collection processes
- Leverage state-of-the-art processes and tools for test plans, field tests in different locations, data transfer & analysis and results in a highly interactive and collaborative environment
- Lead the development/adoption of new processes and tools for ADAS/AD Systems Engineering Validation on field vehicles
- Be responsible for testing coverage of features, confirming SOTIF, data analysis and feature validation tests while ensuring traceability to functional and performance requirements
- Facilitate and align related cross-functional technical teams such as HMI, functional safety, powertrain, infotainment, cybersecurity, homologation, and ADAS/AD on system level validation and development activities
- Work closely with suppliers, manage supplier partnerships and engagement;
- Work with suppliers and internal teams to implement innovative solutions for vehicle testing approaches to optimize system test and validation strategies in terms of efficiency, cost and final product quality
- Contribute to the timely delivery of fully validated, high-quality customer features
Required Qualifications:
- Several years working experience at automotive Tier 1/2 suppliers or OEMs, with an understanding of automotive processes and workflows
- A proven track record of working with hardware/software systems related to ADAS or AD automotive features for mass production
- Experience debugging, testing and bringing up complex hardware/software systems
- Experience developing and executing validation test plans
- Experience with automotive test methods, measurement systems and tools (HIL/SIL, Vector, PCAN, Grafana etc.)
- Experience managing fleet of vehicles for on-road testing & validation, scenario testing to confirm SOTIF coverage etc.
- Capability and creativity to successfully complete projects with unconventional ideas in highly constrained, innovative startup environments
- Excellent communication skills (verbal and written)
- BS minimum in System Engineering, Mechanical Engineering, Electrical Engineering, Computer Science, or similar and 5 years of engineering experience in the automotive industry
Advantageous:
- Previous experience with ADAS/AD longitudinal & lateral control systems as well as safety features at a Tier 1 or OEM
- Broad understanding of various ADAS/AD systems and the interactions between mechanical, electrical and software components within the system
- Proficiency with agile development tools and environments (Jira, Jama, )
- Programming skills related to integration, testing and automation (e.g. Python, C++); Some understanding of ADAS software development in C++
- Knowledge of relevant regulations and applicable (safety) standards for typical ADAS features (e.g. ASPICE, ISO26262, FMVSS, EuroNCAP, SOTIF)
- Experience with project management, supplier management and executing tasks in cross-functional team setup
- MS or PhD in System Engineering, Electrical Engineering, Computer Science, or similar preferred
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.