Autonomous driving jobs

Principal Software Architect

Wayve · Posted Nov 11, 2026

Open

London, England, United Kingdom +5 more
Hybrid
Full-time · Principal
12+ years

Principal Software Architect

Wayve · Posted Nov 11, 2026

Open

London, England, United Kingdom +5 more
Hybrid
Full-time · Principal
12+ years

Technical Program Manager, Software

Gatik AI · Posted Nov 11, 2026

Open

Santa Clara, California, United States
Hybrid
Full-time · Mid
$170K–$220K per year
4–5 years

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Drive the execution and release cycles for core autonomy software and mapping platform, overseeing the full software lifecycle from Product Requirement Definitions (PRDs) through feature specification, software architecture requirements, and release validation.

Compensation

Salary Range: $170,000-220,000

Responsibilities

Lead technical program management for Gatik’s core autonomy software suite and high-definition map release pipelines
Drive the end-to-end software development lifecycle starting from product requirements (PRDs) down to feature scope, engineering requirements, and validation readiness
Partner with Product Management, Software Engineering, and Test/V&V teams to establish clear release schedules, dependency maps, and delivery milestones
Track software delivery metrics, flag technical blockers or safety risks, and implement robust risk mitigation plans
Facilitate alignment across cross-functional software teams, safety engineers, and operations to ensure smooth deployment of software updates

Requirements

Computer Science
Software Engineering

Skills

Technical Program Management Autonomous Driving Robotics

Senior Motion Planning Engineer – Autonomous Driving, Land Domain

Quantum-Systems GmbH · Posted Nov 11, 2026

Open

Gilching, Bayern, Germany
On-site
Full-time · Senior
8+ years

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Play a key role in shaping how autonomous ground systems navigate safely, efficiently, and robustly through complex environments by developing motion planning capabilities.

Responsibilities

Take technical ownership of motion planning capabilities, contributing to the architecture, technical roadmap, and quality of the systems that enable autonomous ground vehicles to navigate complex environments.
Design and develop robust motion planning solutions, translating perception inputs, localization data, maps, mission objectives, and vehicle constraints into safe and executable decisions and trajectories.
Contribute hands-on to complex engineering challenges, investigating planning failures, improving algorithms, debugging system-level issues, and optimizing performance for real-world vehicle operation.
Drive strong engineering decisions, leading technical discussions, challenging assumptions, evaluating trade-offs, and helping teams make pragmatic and sustainable architectural choices.
Translate operational and product needs into technical solutions, working with relevant stakeholders to define clear requirements, priorities, interfaces, and implementation plans.

Skills

Autonomous driving Robotics Motion planning

Senior Simulation Engineering – Autonomous Driving, Land Domain

Quantum-Systems GmbH · Posted Nov 11, 2026

Open

Gilching, Bayern, Germany
Hybrid
Full-time · Senior
8+ years

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Play a key role in shaping the simulation capabilities that enable the development, testing, and validation of the next generation of autonomous ground systems at scale.

Responsibilities

Take technical ownership of simulation capabilities, contributing to the architecture, technical roadmap, and quality of the simulation systems used for autonomy development, testing, and verification.
Design and develop scalable simulation solutions, building realistic, reliable, and reproducible environments that enable autonomy software to be tested across complex scenarios before deployment on physical vehicles.
Drive strong engineering decisions, leading technical discussions, challenging assumptions, evaluating trade-offs, and helping teams make pragmatic and sustainable architectural choices.
Translate autonomy and verification needs into technical solutions, working closely with stakeholders to turn complex requirements into clear simulation concepts, priorities, and implementation plans.
Contribute hands-on to complex engineering challenges, investigating technical limitations, improving simulation fidelity and performance, and solving problems that require deep technical expertise.

Requirements

Nice to have: Software-in-the-Loop (SiL)
Nice to have: Scenario-based testing

Skills

Simulation

Planner Stack Engineer

Autobrains Technologies · Posted Sep 10, 2026

Open

Munich

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Engineer responsible for developing and improving the planner stack that determines vehicle motion, while staying close to testing and daily test drives.

Responsibilities

Develop and improve the planner stack (software that decides how the car moves)
Keep aware of new software releases across the company
Stay close to daily test drives, monitor improvements/degradation
Join test drives

Requirements

Master's degree in engineering or a STEM field
Nice to have: Docker
Nice to have: ROS

Skills

robotics autonomous driving control engineering machine learning coding Linux Docker ROS

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Research Associate

Rochester Institute of Technology · Posted Sep 20, 2026

Open

Remote, United States
Remote
Temporary · Entry
$18–$29 per hour
1+ years

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Compensation

$17.90 - $28.60 Hourly

Responsibilities

Assists with the setup and execution of experiments and laboratory analyses under the guidance of senior researchers
Collects, analyzes, and assists in interpreting data, providing preliminary findings to support ongoing research projects
Participates in the preparation and development of research reports, presentations, and publications to disseminate experimental results and findings
Maintains laboratory equipment and instruments, ensuring they are calibrated, functional, and ready for experiments
Enforces safety protocols and compliance standards in the laboratory to ensure a safe work environment and the proper handling, storage, and disposal of materials and chemicals

Requirements

Associate's degree in related field
Master's degree
PhD degree
Nice to have: Master’s or PhD degree
Nice to have: Strong publication record

Skills

EEG Data Science Artificial Intelligence High Performance Computing

FY27 PhD Internship: Data-Centric AI for End-to-End Autonomous Driving - 6 months, Munich, Unterschleißheim, Germany

Qualcomm · Posted Nov 6, 2026

Open

Munich, Bavaria, Germany +1 more
On-site
Internship · Intern

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PhD Internship focused on developing data‑centric AI techniques for end‑to‑end autonomous driving systems.

Locations (2)

Munich, Bavaria, Germany
Unterschleissheim, Bavaria, Germany

Responsibilities

Conduct research on automated data curation for autonomous driving
Develop data‑centric AI techniques to identify model weaknesses
Translate real‑world driving failures into improved training datasets
Move beyond general data selection to fine‑grained, model‑aware data curation
Work with multimodal representations and Vision‑Language Models

Requirements

PhD in Computer Science, Robotics, Artificial Intelligence, Machine Learning, Computer Vision or related field
Nice to have: Research experience in end‑to‑end autonomous driving
Nice to have: Behavior prediction
Nice to have: Trajectory prediction
Nice to have: VLMs/VLM evaluation

Senior Engineer - Software

Aptiv · Posted Nov 6, 2026

Open

Bangalore, India
Senior

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Design and develop algorithms for automotive applications, including advanced driver assistance systems (ADAS) and autonomous driving features.

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
Collaborate with cross-functional teams to ensure alignment with automotive development practices and standards
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

Skills

algorithms ADAS autonomous driving mathematical modeling statistical analysis machine learning CAN

System Test & Validation Engineer

Capgemini · Posted Nov 5, 2026

Open

Casablanca, Morocco, Morocco
On-site
Full-time · Mid
4+ years

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Defining, planning, and executing system-level verification and validation activities that ensure safe and reliable autonomous driving functions.

Responsibilities

Defining and maintaining comprehensive system-level validation strategies covering simulation, SIL, HIL, vehicle integration, and on-road testing
Developing detailed verification and validation plans by translating system requirements into measurable test objectives, acceptance criteria, and release readiness metrics
Coordinating and executing complex validation campaigns across simulation environments, laboratory platforms, prototype vehicles, and controlled proving grounds
Analysing system behaviour using sensor recordings, vehicle telemetry, software logs, and diagnostic data to evaluate performance, identify anomalies, and characterise system limitations
Supporting multidisciplinary root cause investigations and continuously improving validation methodologies, automation frameworks, and quality practices

Requirements

Bachelor's or master's degree in Computer Science
Bachelor's or master's degree in Software Engineering
Bachelor's or master's degree in Electrical Engineering
Bachelor's or master's degree in Robotics
Bachelor's or master's degree in Mechatronics

Skills

Autonomous Driving

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