Autonomous Vehicles

Autonomous Vehicles Data Jobs

3 jobs found

4d ago

Senior Machine Learning Engineer

NVIDIA Santa Clara, CA

Santa Clara, CA

4d ago

$184k - $357k/yr Full time Senior Artificial Intelligence Autonomous Vehicles

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Job Description

Join NVIDIA in Santa Clara for an onsite Senior Machine Learning Engineer role that foregrounds what you gain: a competitive salary range of USD 184,000 to 356,500 per year, equity participation, and comprehensive benefits, all while collaborating across LiDAR and camera teams to advance autonomous driving. You will help build the ML backbone of the DRIVE AV perception stack, focusing on LiDAR and camera perception, data pipelines, and production-ready C++ code.

Responsibilities

Design, train, and optimize ML models for LiDAR perception, including road element detection, semantic segmentation, and tracking.
Build and coordinate end-to-end ML workflows, spanning data pipelines, model training, evaluation metrics, continuous performance instrumentation, and reporting.
Productization: transition models from initial evaluation to shipped components within the DRIVE AV platform, delivering efficient production-grade C++ code.
Innovation: stay current with ML advances and integrate techniques that boost platform performance.
Collaborate with LiDAR and camera teams, developers, engineers, and managers to turn complex ideas into reliable autonomous driving solutions.

Requirements

BS or MS in Computer Science, Engineering, or a related field, or equivalent experience.
6+ years of relevant proven industry experience applying machine learning to address real-world problems.
Strong C++ and Python programming and debugging skills with experience in developing for large, complex systems.
Deep practical experience applying ML to LiDAR/camera perception in automotive or related fields.
Experience with deep learning frameworks such as PyTorch or TensorFlow and a solid understanding of ML mathematics.
Building and sustaining training and essential metric workflows for large-scale datasets.
Excellent communication and analytical skills, with a self-motivated drive to solve hard problems.

Technologies

C++
Python
PyTorch
TensorFlow
TensorRT

Benefits

Equity
Benefits

Ways to Stand Out

LiDAR or Camera Perception Experience: Proven track record of developing and shipping deep learning models for LiDAR/Camera in a production environment.
Advanced Model Knowledge: Familiarity with modern network architectures like Transformers and their application to visual recognition tasks.
AV Production Experience: A history of delivering ML features and models into a production autonomous vehicle stack or a related robotics product.
Performance Optimization: Experience with model optimization for real-time inference on embedded or automotive platforms, such as TensorRT.

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5d ago

Senior Machine Learning Engineer, End‑to‑End Autonomous Driving

NVIDIA Santa Clara, CA

Santa Clara, CA

5d ago

$184k - $357k/yr Full time Senior Active Learning Artificial Intelligence

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Job Description

NVIDIA in Santa Clara is seeking a Senior Machine Learning Engineer to design, train, and deploy end-to-end autonomous driving models while building data-centric pipelines and data flywheels that accelerate development. This onsite role involves close collaboration with researchers and engineers to convert advanced research into robust, production-ready ML systems for autonomous vehicles.

Responsibilities

Design, implement, and train scalable end-to-end driving models for autonomous vehicles.
Drive the data flywheel by identifying failure modes, defining data collection and labeling needs, and iterating models to close real-world performance gaps.
Build, curate, and maintain high-quality multimodal datasets including video, sensor streams, and language/action traces for end-to-end driving.
Develop and apply data-centric learning strategies such as active learning, curriculum learning, automated hard-example mining, outlier and novelty detection, and semi/self-supervised methods.
Explore and productize new data sources, including simulation, synthetic data, and world-model-based generation or augmentation to improve coverage and robustness.
Design and implement automated data workflows that handle discovery, labeling, evaluation, and retraining to maximize development velocity.
Foster collaborative partnerships with researchers and engineers to transform innovative research into robust, production-ready ML models.

Requirements

PhD with 4+ years, MS with 6+ years, or BS (or equivalent) with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related field.
Strong background in modern deep learning, including transformer architectures, video modeling, and multimodal VLM/VLA or foundation models.
Hands-on experience training and deploying deep learning models on real-world datasets, covering preprocessing, distributed training, evaluation, debugging, and iterative improvement.
Practical experience with data-centric methods such as active learning, curriculum learning, outlier/novelty detection, or large-scale sample mining.
Proficiency in Python and at least one major deep learning framework (PyTorch, TensorFlow, or JAX), plus solid software engineering practices (testing, code reviews, CI/CD).
Demonstrated ability to collaborate across teams, drive designs from prototype to production, and communicate with technical and non-technical partners.
Track record of leading complex cross-team projects, setting technical direction, and making critical technical decisions that impact multiple teams or products.

Technologies

Python
PyTorch
TensorFlow
JAX

Benefits

Equity
Benefits

Ways to stand out from the crowd

Experience building and operating data flywheels or large-scale data pipelines for ML, including data quality monitoring and continuous retraining loops.
Direct experience with end-to-end driving models, large-scale behavior cloning, or reinforcement/imitation learning for driving or robotics.
Experience leveraging simulation, synthetic data, or world models to generate training and evaluation data for autonomous systems.
Contributions to advanced data-centric ML methods, VLM/VLA, or autonomous driving through publications, open-source projects, or widely used internal tools.
Background with safety, reliability, and validation requirements for autonomous driving or other safety-critical applications.

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10d ago

Data Analyst I, Tech

Uber Technologies, Inc. San Francisco, CA

San Francisco, CA

10d ago

$113k - $138k/yr Full time Analyst Analytics Autonomous Vehicles

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Job Description

Data Analyst I, Tech at Uber Technologies, Inc. is a full-time, onsite role in San Francisco, California, focusing on analytics and reporting for autonomous vehicle customer support. The position offers a salary range of USD 113,000 to 138,000 per year and may include bonuses and other compensation.

Responsibilities

Collaborate with Customer Support, Engineering, and Product teams to gather and clarify analytics and reporting needs related to autonomous vehicle customer support.
Lead discovery and gap analysis to evaluate current analytics coverage, data availability, and reporting workflows, identifying opportunities for improvement.
Document detailed business requirements, data requirements, metric definitions, and reporting specifications for dashboards, reports, and analytics tools.
Translate business and analytics requirements into data solution specifications, defining data structures, context, and usage to support customer support quality measurement.
Map data from source to target to design and implement new data models and data pipelines.
Support the design and development of scalable analytics solutions by ensuring alignment between business intent and technical implementation.
Participate in user acceptance testing and data validation to ensure new data products meet functional requirements and data quality standards.
Maintain and update documentation for data sources, metric definitions, reporting logic, and data lineage to support long-term scalability and maintainability.
Serve as a liaison between technical and non-technical stakeholders to align goals, priorities, dependencies, and delivery timelines.
Contribute to the ongoing improvement of data analytics infrastructure, data processes, and reporting workflows supporting autonomous vehicle customer support.

Requirements

A Bachelor's degree in Data Science, Computer Science, Information Science, Information Systems, Statistics, Engineering, Analytics, or a related field.
Two years of experience in the job offered or in a related occupation.
Ability to translate complex customer support and product workflows in autonomous vehicle, ride-sharing, and delivery ecosystems into precise data, analytics, and reporting requirements to support operational and customer experience decisions.
Experience conducting end-to-end discovery, process mapping, and source-to-target data mapping across multiple systems to design scalable, auditable data models and analytics pipelines.
Proficiency in SQL for querying, reconciling, and validating large-scale structured and semi-structured datasets, including identifying and resolving data quality issues in production analytics environments.
Experience performing scalable, repeatable data analysis using Python or R to build reusable analytical frameworks.
Experience designing, executing, and interpreting A/B tests, simulations, or causal analyses to evaluate the impact of changes in customer support environments.
Knowledge of autonomous vehicle technology and real-world customer support operations in transportation, ride-sharing, or food and grocery delivery contexts, including service quality and operational efficiency.
Experience building and maintaining self-service dashboards and analytics using Tableau or Looker.
Ability to validate, monitor, and debug analytics outputs in production by tracing issues across upstream data sources, transformation logic, and reporting layers.

Technologies

SQL
Python
R
Tableau
Looker

Benefits

Bonus program eligibility
Other compensation types
Eligibility for various benefits
Bonuses
Equity

Ready to Ride

This role emphasizes impact and problem solving. If you are driven by measurable outcomes and energized by challenge, this is an opportunity to help shape how the world moves.

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Autonomous Vehicles Data Jobs

Senior Machine Learning Engineer

Senior Machine Learning Engineer, End‑to‑End Autonomous Driving

Data Analyst I, Tech

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