Autonomous Driving

Autonomous Driving Data Jobs

3 jobs found

Today

Senior Machine Learning Engineer – End-to-End Autonomous Driving

Qualcomm Technologies, Inc. San Diego, CA

San Diego, CA

Today

$141k - $211k/yr Full time Senior Artificial Intelligence Autonomous Driving

Apply Now

Job Description

Qualcomm is seeking a Senior Machine Learning Engineer to join its Autonomous Driving AI team and help build next-generation end-to-end driving intelligence. The role focuses on deep learning systems that translate multimodal sensor inputs into safe, reliable driving behavior, covering training infrastructure, simulation, and safety-critical evaluation.

Responsibilities

Design, develop, and optimize state-of-the-art end-to-end autonomous driving models.
Build scalable machine learning pipelines for data processing, training, validation, and deployment.
Develop multimodal deep learning architectures leveraging vision, map, route, and vehicle context information.
Design and implement behavioral planning and trajectory generation models.
Develop goal-conditioned driving systems and controllable AI planning frameworks.
Create robust evaluation methodologies and metrics to measure model quality, safety, and driving performance.
Develop simulation-based validation and closed-loop evaluation frameworks.
Investigate failure cases and long-tail scenarios to improve robustness and generalization.
Design approaches for data augmentation, synthetic data generation, curriculum learning, and self-training.
Collaborate with perception, planning, simulation, systems, and software engineering teams.
Drive innovation through new algorithms, technical leadership, publications, and patent generation.
Contribute to production deployment and optimization of machine learning models on automotive platforms.

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field, plus 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR Master’s degree in Computer Science, Engineering, Information Systems, or related field, plus 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR PhD in Computer Science, Engineering, Information Systems, or related field.
Master’s or PhD in Computer Science, Electrical Engineering, Robotics, Machine Learning, Artificial Intelligence, or related field.
5+ years of industry or research experience in machine learning, deep learning, computer vision, robotics, or autonomous driving.
Strong programming skills in Python, PyTorch, and C++ (preferred).
Deep understanding of deep learning, machine learning, neural network design, computer vision, transformers, representation learning, and multimodal learning.
Experience training and evaluating large-scale deep learning models.
Experience building end-to-end machine learning workflows from data ingestion through deployment.
Strong software engineering fundamentals including code quality, version control, testing, and reproducible experimentation.
Experience in autonomous driving, ADAS, robotics, or embodied AI.
Experience with end-to-end planners and AI planning systems.
Experience with trajectory prediction, motion planning, or behavior modeling.
Experience with reinforcement learning, imitation learning, or self-supervised learning.
Experience building simulation and closed-loop evaluation frameworks.
Familiarity with ONNX, TensorRT, distributed training, and model optimization techniques.
Publications at top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, or CoRL.
Experience filing patents or developing novel machine learning technologies.

Technologies

Python
PyTorch
C++
ONNX
TensorRT
Transformers

Location and Compensation

Location: San Diego, CA (onsite)

Salary: USD 140,800 - 211,200 per year

Pay range: $140,800.00 - $211,200.00

Benefits

Competitive annual discretionary bonus program
Opportunity for annual RSU grants
Highly competitive benefits package

Job Area

Engineering Group > Machine Learning Engineering

What You’ll Work On

End-to-End Autonomous Driving Systems
Vision-Language-Action (VLA) Models
AI-Based Driving Planners
Goal-Conditioned Driving Policies
Large-Scale Deep Learning Training Infrastructure
Trajectory Prediction and Vehicle Behavior Modeling
Closed-Loop Evaluation and Simulation
Safety-Critical Validation Pipelines
Data-Centric AI and Long-Tail Learning
Autonomous Vehicle Foundation Models

View full job page →

3d ago

Staff Machine Learning Engineer- Large Driving Model (LDM), Motion Planning, Autonomy

Rivian Palo Alto, CA

Palo Alto, CA

3d ago

Full time Artificial Intelligence Autonomous Driving Data Pipeline

Apply Now

Job Description

Rivian is seeking a Staff Machine Learning Engineer to contribute to the development and deployment of its next-generation Large Driving Model (LDM) within the Rivian Autonomy stack. This role spans the complete model lifecycle, from data curation and post-training to evaluation and real-world, on-road performance, with technical leadership across autonomy teams.

Responsibilities

Lead the development of advanced driving capabilities by owning the full Large Driving Model (LDM) lifecycle, including targeted data curation, post-training alignment, and rigorous evaluation pipelines.
Review and improve model design choices to ensure high-quality supervision, robust validation strategies, and scalable architectures that close the gap between offline LDM training and on-road performance.
Serve as a technical authority in the Autonomy department, providing decisive guidance on technology choices, model architectures, and data strategies for current and future initiatives.
Evaluate business, safety, and operational implications of technology tradeoffs, balancing them in line with company timelines and product needs.
Build scalable, extendable, and collaborative ML systems and codebases to enable other engineers, and define best practices for the broader LDM team.
Influence technical roadmaps and help drive consensus across perception, planning, and platform teams during complex technical discussions.
Own model transition to production by deploying, supervising, and continuously improving real-world on-road performance as models move from development into customer vehicles.

Requirements

M.S. or Ph.D. in Machine Learning, Computer Science, Robotics, or a related field.
7+ years of industry experience delivering complex, production-grade Machine Learning systems, with experience operating at a Staff or Lead level.
Expert-level hands-on experience with Python and PyTorch.
Experience with large-scale distributed training frameworks is highly preferred.
Deep expertise in state-of-the-art foundation models and post-training paradigms (fine-tuning, alignment), with experience across perception, prediction, or planning for autonomous driving or robotics.
Proven ability to own full ML data verticals, including data curation, synthetic data generation, and building robust evaluation frameworks for complex behavioral models.
Strong foundations in linear algebra, geometry, optimization, algorithms, and data structures.
Exceptional communication skills, including the ability to set technical direction, guide execution, and build consensus in a fast-paced environment.
Motivation to move ambiguous and complex ideas from development and validation to a verified, shipping product.
Hands-on approach, including proactively identifying systemic gaps and writing critical path code when needed.
Prior experience with Automotive Self-Driving stacks or similarly complex, safety-critical Robotics Systems.

Required Education

M.S. or Ph.D. in Machine Learning, Computer Science, Robotics, or a related field.

Location

Palo Alto, CA (onsite)

Technology Stack

Python
PyTorch

View full job page →

9d ago

Autonomous Vehicle Data Analyst Engineer

International Motors, LLC Elmendorf, TX

Elmendorf, TX

9d ago

$70k - $106k/yr Full time Autonomous Driving Autonomous Vehicles Data

Apply Now

Job Description

International Motors, LLC is seeking an Autonomous Vehicle Data Analyst Engineer in Elmendorf, TX for onsite work supporting the development and validation of Level 3 and Level 4 autonomous driving systems. The role focuses on real-world, over-the-road testing and the data work required to document driving behavior, analyze events, and support troubleshooting during test execution.

What you’ll do

Take ownership of the test article, including responsibility for road readiness and ensuring data acquisition equipment is prepared for over-the-road testing, with rotation to 2nd shift testing.
Inform the AV safety driver of ADS behavior, communicate during daily over-the-road testing, and request takeover when potentially unsafe operations are identified.
Document, tag, upload, process, and analyze test data, working with the AV development team to analyze driving events.
Troubleshoot situations where the AV is not in Active Automated mode and at Standstill.
Attend on-site training at OEM and Navistar test locations, as needed.

Requirements

Bachelor’s degree in Engineering, Engineering Technology, or Computer Science.
Qualified candidates, excluding current employees, must be legally authorized on an unrestricted basis to be employed in the United States (US Citizen, Legal Permanent Resident, Refugee, or Asylee). International Motors, LLC does not anticipate providing employment-related work sponsorship for this position (e.g., H-1B status).

Technologies

Microsoft Office Applications
Excel, Word, PowerPoint

Travel requirements

Regular travel to International Proving Grounds (IPG) in New Carlisle, Indiana.
Occasional business travel for training up to 50%.

Compensation & benefits

The role offers USD 70,400 - 105,600 per year, along with a comprehensive benefits package designed to support employee wellbeing and competitive, market-based compensation.

Desired skills

Strong organizational skills for planning and documentation of daily missions to safety drivers.
Experience with powertrain calibration and/or data acquisition on mobile platforms in the automotive or commercial truck industry.
Excellent communication skills for reconstructing events during over-the-road testing, including presentations and verbal updates to testing stakeholders.
Experience uploading large data files, performing data analysis, and triaging fault codes on vehicle or other mobile platforms.
Experience and/or understanding of automotive or commercial platform maintenance procedures.
Working knowledge of automotive or commercial truck powertrain platforms and ADAS systems.
Fluency in Microsoft Office applications, especially Excel, Word, and PowerPoint for documentation and trip planning or debriefing.
Ability to collaborate as part of a team during prolonged testing periods alongside AV safety drivers.

View full job page →

Autonomous Driving Data Jobs

Senior Machine Learning Engineer – End-to-End Autonomous Driving

Staff Machine Learning Engineer- Large Driving Model (LDM), Motion Planning, Autonomy

Autonomous Vehicle Data Analyst Engineer

Get Autonomous Driving Data Jobs alerts