Company:
Ford
Location: Palo Alto
Closing Date: 07/11/2024
Salary: £150 - £200 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description
We are seeking an individual with strong expertise in self-driving technologies and robotics systems to help us integrate and test the prototype software functionalities on the production vehicle platforms. This position will play a vital role in shipping production level software to the next generation Level 2 autonomous solutions within Ford’s vehicle lineup.
What you'll do...
- Design and execute comprehensive test plans to validate the ADAS software modules and hardware systems
- Integrate and deploy the ADAS software to the production vehicle platforms
- Develop software to optimize the system performance and improve the fleet infrastructure
- Develop and maintain automated test scripts and frameworks to improve test efficiency and coverage
- Analyze test results, identify and diagnose issues, and collaborate with engineering teams to resolve problems.
- Stay up-to-date on the latest autonomous driving technologies and testing methodologies, and contribute to the development of robust test processes and procedures
You'll have...
- Bachelor’s degree in computer science, computer engineering, electrical engineering, mechanical engineering, or related fields
- 1 year of software development experience using C++
- 1 year of experience with Linux development and bash scripting
Ideally you'll have...
- Master’s degree in computer science, computer engineering, electrical engineering, or related fields, or 2+ years of experience in test and integration engineering
- Experience with ADAS technologies i.e. autonomous driving software architecture, sensors, networking, compute hardware, control systems
- Experience with UDP, TCP, CAN and network routing
- Experience with software development tools i.e. build systems, containers, source control etc.
- Experience with software for real-time or safety-critical systems
- Experience with agile software development and testing methodologies
- Excellent analytical and problem-solving skills
- Ability to work effectively in a fast-paced, cross-functional team environment.
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