Why join Aptiv?

You'll have the opportunity to work on cutting-edge applications, develop breakthrough technologies, and deliver innovative solutions to some of the world’s leading automotive brands. See your work come to life on the road—helping make mobility safer, greener, and more connected. Ready to shape the future of mobility with us?

Major Accountabilities:

Design, simulate, implement, and test Localization algorithms using C++
Utilize mathematical modeling, statistical analysis, and machine learning techniques to create robust and efficient algorithms that meet performance and safety requirements.
Collaborate with cross-functional teams to ensure alignment with automotive development practices and standards throughout the algorithm development lifecycle.
Analyze system requirements, data, and performance metrics to iteratively refine and improve algorithm designs.
Design and perform tests in various environments (SiL, HiL, in-vehicle) to verify system performance and robustness.
Collaborate with feature/system engineers to support the creation and break-down of requirements and test cases.
Manage version control and continuous integration pipelines using Git and Jenkins to facilitate collaborative development and automated testing of algorithm software.
Design and implement robust error handling and fault tolerance mechanisms to ensure algorithmic reliability and safety in automotive systems.
Collaborate with architects to support the design of end-to-end system architecture

Required Qualifications

1+ year(s) of experience working with Localization: Robotic state estimation, filtering, signal processing, Bayesian statistics
2+ years of experience working with C++14 or later
Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering or related degree field
Experience with Agile methodologies/frameworks
Experience with Multicore architecture and Functional Safety concepts
Prior experience with build management. (eg: CMake)
Experience with Linux
Experience with ADAS features
Familiar with configuration management and version control tools (JIRA, Polarion, Git)
Familiar with Unit Testing frameworks – (eg: GoogleTest, VectorCast)

Preferred Qualifications

3+ years' experience in Localization software development
5+ years of experience with C++14 or later
MS or PhD in Engineering or relevant field
Familiar with SD and HD mapping concepts
Knowledge of embedded operating systems / software stacks
Prior experience with CI/CD - DevOps tools
Knowledge of Machine Learning
Familiar with Python
Experience with ROS
Experience in code profiling and optimization
Experience with simulation environments and physics engines
Exposure to compliance standards (ISO-26262, ASPICE, AUTOSAR)
You can grow at Aptiv. Aptiv provides an inclusive work environment where all individuals can grow and develop, regardless of gender, ethnicity or beliefs.
You can have an impact. Safety is a core Aptiv value; we want a safer world for us and our children, one with: Zero fatalities, Zero injuries, Zero accidents.
You have support. We ensure you have the resources and support you need to take care of your family and your physical and mental health with a competitive health insurance package.

YOUR BENEFITS AT APTIV:

Private health care effective day 1 of employment
Life and accident insurance
Paid Time Off (Holidays, Vacation, Designated time off, Parental leave)
Relocation assistance may be available
Learning and development opportunities
Discount programs with various manufacturers and retailers
Recognition for innovation and excellence
Opportunities to give back to the community
Tuition Reimbursement
Adoption Assistance
Fertility Coverage

APPLY TODAY, AND TOGETHER LET’S CHANGE TOMORROW!

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Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.

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Localization Algorithm Engineer