AAD Onboard Software Lead Engineer - Perception

The Opportunity 

JLR are seeking engineers with a strong knowledge in developing and integrating artificial intelligence technologies into Assisted & Automated Driving. The person will evolve and develop artificial intelligence algorithms to lead the development of JLR toolchain and in-house software capabilities to achieve autonomous driving. The candidate will be familiar with the development of perception and/or decision making and/or prediction technologies. 

The primary responsibility will be to lead the artificial intelligence software development and lead the assessment of autonomous software provided by suppliers  

Key Performance Indicators 

Please enter measurable indicators that will be used to demonstrate how this role will deliver against the accountabilities. Please ensure that there is a clear link to the corporate/functional/team KPIs and ensure that the key performance indicators are specific and measurable 

• Deliver AI Algorithms based on incremental development of software components 

• Integrated the algorithms with the in-house software stack 

• Deliver High Quality Deployable innovative software increments that demonstrate business value in line with JLR standard software delivery/quality practices. 

• Delivery Fully Traceable Software increments from requirement to code unit including Low level design. 

• Deliver Continual Improvements to the software development process. 

Key Accountabilities and Responsibilities 

This is a pre-populated field identifying key accountabilities, including key decisions for which the role is accountable 

Please note the IVN placed on line has limited space, the hiring manager will need to identify circa 5-6  key accountabilities and responsibilities to the Recruitment Delivery Team which will be included in the advertisement or IVN 

• Development of artificial intelligence technologies within ADAS system to lead Feature on Demand development  

• Assessment of Artificial Intelligence Solutions provided by suppliers to evaluate: 

• Compliance with FuSA requirements; 

• Robustness of L4 solution presented by suppliers 

• Establish JLR KPI for autonomous driving solutions 

• Lead technology readiness level evaluation 

• Lead autonomous technologies technical assessment to enable certification and compliance activities  

• Ability to bridge technologies developments into technologies insertion in the vehicle  

• Ability to program in TensorFlow, Python, C++ 

• Understanding of Matlab and Simulink Modelling  

• Lead Software in The Loop Verification of AI technologies provided by supplier or developed in house 

• Define test cases for AI assessment and quality criteria  

• Ability to write algorithms based on given user requirements 

• Ability to asses algorithms based on user cases specified 

• Ability to work with Big Data to lead decision making and Forecasting technologies 

Key Interactions 

Please enter a maximum of 5 role titles, departments or functional groups (not individual names) that this role will develop and maintain relationships with outside their own immediate team  

• Software Architects 

• Systems Engineers  

• Modelling and  

• System V&V Engineers 

• Project Managers 

• Group Leaders 

• Module Leader (where delivering specific programmes) 

• External Partners 

• Connected Car Senior Managers 

• JLR IT and partners 

Knowledge, Skills and Experience 

 This is a pre-populated field identifying the key qualifications, skills and experience that a person needs to have in order to deliver the role successfully, you may wish to tailor these specifically to the role, if so please note; you must not make reference to a specific number of years of experience, instead use the terminology such as ‘Some’, ‘Significant’, ‘Extensive’  

Role Model In: 

• Python  

• TensorFlow 

• Matlab/Simulink 

• Demonstrate Flexibility and manage Ambiguity during product evolution/change. 

• Artificial Intelligence technologies – Knowledge base systems, decision trees, Deep Neural Networks, Spiking Neural Network, Bayesian Decision trees, SVM 

• Ability to use databases to lead machine intelligence implementation  

• Demonstrate strong Interpersonal skills, including proactive deadline management and pointed stakeholder communications 

Personal Profile  

This is a pre-populated field identifying the personal attributes required for this opportunity. Do not include reference to knowledge or skills that would otherwise appear in the section above  

• A passion for autonomous systems 

• An individual with the capability to combine a short term, pragmatic focus with medium  term planning 

• A resilient and enthusiastic individual who responds constructively to new ideas and inputs 

• A good communicator with the ability to communicate complex ideas to different audiences 

• An effective team player who actively develops and leads the team 

• Experience working with dispersed teams