Self Driving

Self Driving Developer Jobs

4 jobs found

Today

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

NVIDIA Santa Clara, CA

Santa Clara, CA

Today

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

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Job Description

Join NVIDIA in Santa Clara, onsite, to lead the design, training, and deployment of end-to-end autonomous driving models. This senior role offers a salary range of USD 184,000 to 356,500 per year, plus equity and a comprehensive benefits package. You will collaborate across teams to build data-centric pipelines, drive data flywheels, and translate research into robust, production-grade machine learning systems for autonomous driving.

Benefits

Equity
Benefits

Responsibilities

Design, implement, and train large-scale end-to-end driving models.
Lead the data flywheel by identifying failure cases, specifying data collection and labeling needs, and iterating models to close real-world gaps in performance.
Build, curate, and maintain high-quality multimodal datasets (video, sensor, language/action traces) tailored for end-to-end autonomous driving.
Apply data-centric learning methods such as active learning, curriculum learning, automated hard-example mining, outlier and novelty detection, and semi/self-supervised approaches.
Explore and productize new data sources including simulation, synthetic data, and world-model based generation to improve coverage and robustness.
Design data workflows that automate data discovery, labeling, evaluation, and retraining to maximize development velocity.
Foster collaborative partnerships with researchers and engineers to transform innovative research into robust, industrial-strength models.

Requirements

PhD with 4+ years, MS with 6+ years, or BS (or equivalent experience) with 8+ years of relevant work in Computer Science, Computer Engineering, or a related technical field.
Strong background in modern deep learning, including transformer-based architectures, video modeling, and multimodal VLM/VLA or foundation models.
Hands-on experience training and deploying deep learning models on real-world datasets: data 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), along with solid software engineering practices (testing, code review, CI/CD).
Proven ability to collaborate across teams, drive designs from prototype to production, and communicate clearly with technical and non-technical partners.
A track record of leading complex cross-team projects, setting technical direction, and making critical decisions that impact multiple teams or products.

Technologies

Python
PyTorch
TensorFlow
JAX

Ways to stand out

Experience building and operating data flywheels or large-scale ML data pipelines, 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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28d ago

Machine Learning Engineer, Motion Planning & Prediction

Avride Austin, TX

Austin, TX

28d ago

Full time Ai Ml Artificial Intelligence Big Data

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Job Description

Avride is seeking a Machine Learning Engineer to join its autonomous vehicle team in Austin, TX on site, focusing on motion planning and prediction. The role entails building end-to-end ML models, developing data pipelines, and enabling real-time inference on embedded hardware, while applying cutting-edge ML research.

Responsibilities

Develop and operationalize advanced machine learning models for behavioral prediction and motion planning
Build scalable data pipelines to process, clean, and label large-scale vehicle sensor and simulation datasets
Leverage architectures such as transformers to capture temporal interactions among traffic agents
Define and own model performance metrics and create evaluation frameworks aligned with on-road safety and performance
Collaborate with software engineers to integrate models and optimize real-time inference on embedded vehicle hardware
Maintain awareness of the latest ML research, including imitation learning and reinforcement learning, and apply novel techniques to systems

Requirements

Proficient in Python with hands-on experience in modern deep learning frameworks (PyTorch, TensorFlow, or JAX)
Solid understanding of ML fundamentals, including neural network architectures, training methodologies, and evaluation techniques
Experience across the full ML lifecycle, from data exploration and prototyping to deployment and monitoring
C++ proficiency for writing high-performance model inference code

Technologies

Python
PyTorch
TensorFlow
JAX
C++
MLflow
Kubeflow
Weights & Biases
Spark
Ray

Nice to have

Strong track record in ML competitions (for example Kaggle) or contributions to major open-source ML projects
Experience applying ML to robotics problems, such as behavioral prediction, motion planning, or computer vision
Familiarity with MLOps tools and platforms (MLflow, Kubeflow, Weights & Biases)
Experience with large-scale distributed data processing and training frameworks (Spark, Ray)
Publications in top-tier ML or robotics conferences (NeurIPS, ICML, CVPR, ICLR, CoRL, RSS)

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1mo ago

Robotics and AI Software Engineer - Autonomous Navigation

Nextera Robotics Boston, MA

Boston, MA

1mo ago Closed

$110k - $170k/yr Full time Computer Vision Planning Software Robotics

This position is no longer accepting applications (closed Jul 1, 2026).

Job Description

Nextera Robotics is seeking a Robotics and AI Software Engineer focused on autonomous navigation, onsite in Boston, MA.

Responsibilities

Lead the development of planning and control software for the autonomous mobile robot stack.
Design and refine robust navigation techniques for new robot models.
Collaborate with the Boston engineering team to bring products from concept to life.

Requirements

Experience with localization, planning, and/or controls for drones or mobile robots in academic or industrial settings.
Strong background in computer science, mathematics, or physics.
Demonstrated programming proficiency across relevant languages and tools.
Familiarity with robotics simulation environments and tools.
Excellent communication and interpersonal skills.

Technologies

Visual SLAM
LiDAR based SLAM
Factor graphs
ROS
CUDA

Benefits

Dental insurance
Green card sponsorship
Health insurance
Relocation assistance
Visa sponsorship
Vision insurance

Job Type

Full-time

Salary

USD 110,000 - 170,000 per year

Work Location

On site in Boston, MA

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1mo ago

Software Engineer, Perception Attributes Autolabeling Pipeline

Manpower Engineering Foster City, CA

Foster City, CA

1mo ago Closed

$75 - $83/hr Full time Python Automation Big Data

This position is no longer accepting applications (closed Jun 27, 2026).

Job Description

Onsite in Foster City, CA, this Software Engineer role focuses on the Perception Attributes Autolabeling Pipeline, delivering data pipeline engineering and reliable systems for autonomous vehicle perception. The position offers an hourly rate of USD 75 to 83 and requires a minimum of 3 years of backend or data pipeline experience.

Benefits

Medical and Prescription Drug Plans
Dental Plan
Vision Plan
Health Savings Account
Health Flexible Spending Account
Dependent Care Flexible Spending Account
Supplemental Life Insurance
Short Term and Long Term Disability Insurance
Business Travel Insurance
401(k), Plus Match
Weekly Pay
Opportunity to work on cutting edge autonomous vehicle perception systems
Collaborate with a talented team of ML engineers and system architects
Contribute to innovative solutions that impact real world transportation
Engage in a dynamic environment that values continuous learning and growth
Be part of a forward thinking organization committed to technological advancement

Technologies

Python
C++
PySpark
Gemini
OpenAI
Anthropic

Responsibilities

Build and operate the autolabeling pipeline to accelerate vehicle attribute classification tasks
Develop observability tools to monitor system performance, latency, and error modes
Run experiments and analyze outputs to optimize labeling workflows
Integrate the pipeline with existing systems, collaborating with data infrastructure teams
Document system architecture, create runbooks, and ensure smooth handoff at project completion

Requirements

3+ years of backend or data pipeline engineering experience
Proficiency in Python; familiarity with C++
Experience working with large datasets using PySpark or similar tools
Understanding of ML fundamentals including model inference, embeddings, and evaluation metrics
Experience integrating foundation models such as Gemini, OpenAI, Anthropic at production scale

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Self Driving Developer Jobs

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

Machine Learning Engineer, Motion Planning & Prediction

Robotics and AI Software Engineer - Autonomous Navigation

Software Engineer, Perception Attributes Autolabeling Pipeline

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