Senior Technical Lead Algorithm Engineering at Aptiv

Yokohama-shi, Kanagawa, Japan

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AutomotiveIndustries

Requirements

Strong mathematical, analytical, and problem-solving skills to tackle complex challenges and optimize algorithm performance
Knowledge of automotive development practices and standards
Expertise in industry-specific communication protocols such as CAN, LIN, FlexRay, and Ethernet
Proficiency in Simulink for developing and validating algorithm models
Experience with version control using Git and continuous integration pipelines using Jenkins
Understanding of CI/CD best practices
Ability to design robust error handling and fault tolerance mechanisms

Responsibilities

Design and develop algorithms for automotive applications, including ADAS and autonomous driving features
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
Assess and enhance the maturity of algorithm software through rigorous testing, validation, and verification processes
Define and implement strategies for improving algorithm software maturity, reliability, and robustness to meet automotive safety and quality standards
Ensure compliance with industry-specific communication protocols for reliable data exchange and interoperability
Develop and validate algorithm models using Simulink to ensure accuracy and performance before implementation in production systems
Manage version control and continuous integration pipelines using Git and Jenkins to facilitate collaborative development and automated testing
Implement CI/CD best practices to ensure the stability, reliability, and repeatability of algorithm deployments
Design and implement robust error handling and fault tolerance mechanisms to ensure algorithmic reliability and safety in automotive systems

Skills

ADAS

Autonomous Driving

Mathematical Modeling

Statistical Analysis

Machine Learning

Simulink

CAN

LIN

FlexRay

Ethernet

Git

Jenkins

CI/CD

Aptiv

Develops integrated systems for vehicles

About Aptiv

Aptiv develops integrated vehicle systems for the automotive industry, focusing on software-defined vehicles. Their products help tackle challenges related to autonomous driving, vehicle electrification, and advanced safety features. Aptiv collaborates with major car manufacturers and other mobility stakeholders to enhance vehicle performance and safety through their technological solutions. Unlike many competitors, Aptiv emphasizes a partnership model, providing ongoing support and integration of their systems into vehicles. The company's goal is to improve the overall driving experience and safety in vehicles while advancing the future of mobility.

Dublin, IrelandHeadquarters

1994Year Founded

$7.8MTotal Funding

IPOCompany Stage

Automotive & TransportationIndustries

10,001+Employees

Risks

Amazon's entry into connected cars increases competition for Aptiv.

Investment in MAXIEYE exposes Aptiv to geopolitical and regulatory risks.

Oragadam plant expansion may strain finances if demand doesn't meet expectations.

Differentiation

Aptiv integrates software and systems for autonomous driving and vehicle electrification.

The company collaborates with major car manufacturers for software-defined vehicle solutions.

Aptiv operates 14 technical centers globally, enhancing its R&D capabilities.

Upsides

Aptiv's investment in MAXIEYE expands its presence in the Chinese automotive market.

The Oragadam plant expansion increases production capacity for advanced vehicle systems.

Participation in CES 2025 showcases Aptiv's leadership in automotive technology innovation.

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