ADAS Algorithm Integration Engineer Job at Aptiv plc (Troy)

Senior Technical Lead Algorithm Engineering

Location

Japan , Yokohama-shi

Salary:

Not provided

Aptiv plc

Expiration Date

Until further notice

Requirements

Design and develop algorithms for automotive applications, including advanced driver assistance systems (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
Demonstrate strong mathematical, analytical, and problem-solving skills to tackle complex challenges and optimize algorithm performance
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 such as CAN, LIN, FlexRay, and Ethernet 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 of algorithm software

Fulltime

AV Vehicle Motion Internship Software Engineering

This role is part of the ADAS Motion Estimation Software team, developing produc...

Location

Canada , Markham

Salary:

4264.00 - 5200.00 CAD / Month

General Motors

Expiration Date

Until further notice

Requirements

Bachelor's, Masters or PhD degree in computer science, Engineering (Electrical, Computer, Mechatronics, System Design, Mechanical, Chemical or equivalent)
Eligible for a 12 months internship (consecutive semesters), working full time hours (40 hours a week)

Job Responsibility

Design, implement, and integrate ADAS software solutions, with a focus on vehicle motion estimation and related state estimation functions within production ECUs
Develop and maintain code in C and Simulink, following automotive software best practices, coding standards, and configuration management processes
Analyze and improve reliability, performance, and efficiency of motion estimation algorithms and embedded implementations, including profiling, optimization, and robustness improvements
Create and maintain technical documentation, such as design specifications, interface definitions, test plans, and release notes to support cross-functional teams
Perform unit testing and support in-vehicle testing, including test case development, issue triage, data analysis, and collaboration with validation and vehicle integration teams

Fulltime

Perception Software Engineer

Location

United States , San Jose

Salary:

Not provided

PolyExplore

Expiration Date

Until further notice

Requirements

Ms/PhD degree in Electronics Engineering, Electronics and Computer Engineering, Robotics or Computer Science
Understanding of ADAS sensors such as radar, camera, ultrasonic, and lidar
Excellent knowledge and proven expertise in sensor fusion, probabilistic perception, object tracking, data association, optimization, and/or machine learning
High level of proficiency developing in C/C++
Experience with GPGPU and CUDA
Experience with Linux

Job Responsibility

Develop perception algorithms for autonomous systems
Integrate perception software into prototype systems
Sensor calibration, synchronization and fusion
Object recognition and 3D scene reconstruction
Target detection and tracking
Training of classical machine learning models

Software Engineer Lead - Middleware

The Software Engineer Lead - Middleware will be part of a core engineering team ...

Location

United States , Belmont

Salary:

165000.00 - 190000.00 USD / Year

Volkswagen AG

Expiration Date

Until further notice

Requirements

5-7 years as a validation lead of Connected Infotainment systems for an Automotive OEM or Tier-1 supplier – proven record of start-to-finish lead role
5-7 years VWAG vehicle integration knowledge including diagnostic toolchain & architecture experience preferred
BS in Engineering or a combination of education and experience
Excellent strategical thinking and communication skills
Understanding of core Computer Science algorithms and data structures
Familiar with development and deployment on cloud systems such as AWS or Azure
Knowledge of complex modern automotive software and architecture
Knowledge of embedded software design
Knowledge of real time operating systems (Linux with realtime extensions)
Knowledge of Version Management systems such as GITLAB, Github

Job Responsibility

Middleware Architect and Development Design – (60%)
Design, develop, and maintain scalable and robust communication middleware for distributed embedded systems
Collaborate with systems engineers and application developers to define middleware interfaces and APIs
Lead middleware performance profiling, debugging, and tuning
Contribute to the development of communication frameworks that support inter-process and inter-device data exchange
Guide the integration of middleware into OS-level services (e.g., Linux, real-time operating systems)
Contribute to the development and product launch of functions and ECUs, overseeing all steps of the process and coordination with product/design/contract manufacturers
Contribute to the hardware specification and design of electronic control units for automotive systems
Design and optimize communication stacks (e.g., SOME/IP, DDS, MQTT, gRPC, CAN, LIN, Ethernet AVB/TSN)
Develop and maintain APIs and SDKs for internal and third-party application integration

What we offer

Eligibility for annual performance bonus
Healthcare benefits
401(k), with company match
Defined contribution retirement program
Tuition reimbursement
Company lease car program
Paid time off

Fulltime

Aerospace Software Engineer 3

Location

United States , Oklahoma City

Salary:

50.00 - 100.00 USD / Hour

Beacon Hill

Expiration Date

Until further notice

Requirements

Minimum 3+ years of professional software development experience
Working knowledge of Ada and ability to understand its role in aircraft/software systems
Experience with mission systems and understanding of aircraft software environments
Understanding of hardware configuration and system-level interactions
Must meet core required experience and demonstrate depth beyond entry-level exposure

Job Responsibility

Design, develop, test, and maintain non-embedded software across the full lifecycle in compliance with industry, safety, and regulatory standards
Translate customer and system requirements into software architectures, algorithms, interfaces, and detailed designs
Develop and enhance software supporting mission systems, system integration, and mission computing environments
Debug, troubleshoot, and resolve software issues to ensure reliability, efficiency, and performance
Support multiple high-visibility programs, including international and executive transport initiatives
Analyze aircraft software behavior and understand system-level functionality without performing hands-on Ada development
Apply data structures knowledge (e.g., binary search trees) to optimize data retrieval and memory efficiency
Collaborate with cross-functional engineering teams to support integration, testing, and system-level performance improvements

Fulltime

Senior Principal Engineer- End-to-End AI Training Framework

As the Senior Principal Engineer, E2E AI Training Framework for Autonomous Drivi...

Location

United States , Sunnyvale

Salary:

240000.00 - 320000.00 USD / Year

Robert Bosch Sp. z o.o.

Expiration Date

Until further notice

Requirements

Master’s degree or Ph.D in Computer Science, Robotics, Electrical Engineering, AI, or a closely related field with a focus on autonomous systems
10+ years of experience in software development and system engineering for autonomous driving or ADAS applications
Proven industry experience in releasing AI-based L2+ systems, with a strong track record of successful product deployments
Deep knowledge of E2E AI stack solutions and training algorithms, including reinforcement learning, and imitation learning, as well as motion control and optimization techniques
Deep knowledge of AI frameworks such as TensorFlow and PyTorch
Deep knowledge in model optimization and embedded deployment of E2E AI stacks to embedded automotive hardware
Deep knowledge of cloud-based scalable training pipelines, MLOps, and CICD for training AI models with large-scale fleet datasets
Proven track record of leading the end-to-end development and successful deployment of complex AI-powered systems into production environments at scale

Job Responsibility

Define and drive execution of the technical roadmap and strategy for the E2E AI machinery, including training pipelines, optimization techniques, simulation and MLOps tooling
Oversee the design, development, and testing of the E2E AI machinery and its interaction with data sources, model repositories, and development targets
Collaborate closely with other functional tech leads (e.g. data engineering, infrastructure) to define and drive the overall architecture of the AI machinery ecosystem
Guide the set-up of a development framework that enables fast evaluation and integration of emerging E2E AI solutions
Guide the transition from research prototypes to production-ready solutions, ensuring performance optimization on automotive-grade hardware and scalability
Leverage your prior industry experience in launching AI-based L2+ systems to implement best practices in system validation, testing (SIL/HIL), and continuous improvement
Mentor and lead a high-caliber team of AI scientists and engineers, fostering a culture of innovation, collaboration, and technical excellence

What we offer

health, dental, and vision plans
health savings accounts (HSA)
flexible spending accounts
401(K) retirement plan with an attractive employer match
wellness programs
life insurance
long term disability insurance
paid time off
parental leave

Fulltime

Software Engineer 3 (C++/ADA)

Designs, develops, tests, and maintains non-embedded software throughout the end...

Location

United States , Oklahoma City

Salary:

Not provided

Beacon Hill

Expiration Date

Until further notice

Requirements

Coding experience in C++
Understanding hardware configuration
At least 3 years experience as a software developer

Job Responsibility

Designs, develops, tests, and maintains non-embedded software throughout the end-to-end lifecycle that meets industry, customer, safety, and regulation standards
Reviews, analyzes, and translates customer requirements into initial design of software products
Develops, maintains, enhances and optimizes software products and functionalities for systems integrations
Develops, documents and maintains architectures, requirements, algorithms, interfaces and designs for software products
Debugs and resolves issues identified to ensure the reliability and efficiency of software products
Handles user inquiries, troubleshoots technical issues and user feedback analysis
Implements current and emerging technologies, tools, frameworks and changes in regulations relevant to software development
Develops, establishes, monitors and improves software processes, tools and key performance metrics that align projects with organizational goals and industry benchmarks
Executes and documents software research and development projects
Advises on software domains, system-specific issues, processes and regulations

Technical Project Manager - AI / ML Expertise

The Technical Project Manager will lead complex technology projects with a focus...

Location

United States , Tampa

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

7+ years of experience applying AI to practical uses
7+ years of Experience in Technical Program Management on deep-tech products or equivalent, specifically managing programs involving AI/ML components and data pipelines
7+ years of Hands on experience with ML-based products including evaluation with metrics driven analysis
7+ years of Experience with ADAS systems, Robotaxis, and/or Robotics, particularly involving the integration and management of complex AI/ML models
7+ years of ML development in resource-constrained environments, demonstrating an understanding of the practical challenges of deploying ML on automotive-grade hardware
Bachelor’s degree in computer science, Data Science, Engineering, or equivalent experience, with a strong foundation in areas relevant to AI/ML
Certification/ course on Data Architect/Data Science from any reputed institute/ portal

Job Responsibility

Lead programs consisting of complex technology projects, particularly ones that intersect with hardware, software, and regulatory constraints, with a strong emphasis on AI/ML model development, training, evaluation, and deployment pipelines
Exercise strong ownership over programs they lead, including briefing Autonomy leadership on execution and diving into technical details where necessary to unblock the team, especially regarding ML model performance, data requirements, and training infrastructure
Drive pragmatic decisions and tradeoffs to maximize probability of hitting critical timelines, considering factors unique to ML projects such as model iteration speed, data annotation pipelines, and compute resource allocation
Work with the engineering and leadership teams on the functional design, process design, prototyping, testing, and training of AI/ML solutions
Advise leaders on technology, strategy, and policy issues related to AI/ML
Manage ambiguity by presenting options with a clear point of view for leadership, particularly concerning ML model readiness, evaluation metrics, and performance trade-offs
Understand the role of TPM as an insider/outsider, someone who drives accountability through influence and soft power rather than hard power and authority, effectively influencing teams working on ML algorithms, data platforms, and simulation environments
Mentor other TPMs on the team and help them grow their craft as TPMs, sharing expertise in managing ML-centric technical programs

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ADAS Algorithm Integration Engineer

Job Description

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