Self Driving

Self Driving Developer Jobs

6 jobs found

13d ago

Perception Machine Learning Engineer – ADAS

Lucid Motors Southfield, MI

Southfield, MI

13d ago

Full time Artificial Intelligence Automation Autonomous Vehicles

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Job Description

Lucid Motors is seeking a Perception Machine Learning Engineer to build and improve autonomous driving perception capabilities for ADAS. The role focuses on turning camera and LiDAR data into deployable machine learning models, with an emphasis on reliable performance through testing, validation, and production deployment.

Responsibilities

Develop and optimize perception algorithms for autonomous driving systems using camera and LiDAR inputs.
Design and implement deep learning solutions for 2D/3D object detection, segmentation, tracking, and multi-task learning.
Research, integrate, and iterate on BEV transformer-based approaches for perception tasks.
Partner with cross-functional teams to support seamless integration and robust implementation of perception software.
Test, release, and deploy perception algorithms into Lucid production programs.
Support validation and verification of perception algorithms using prototype and pre-production vehicles.
Propose software algorithm improvements aimed at advancing future autonomous driving capabilities.

Requirements

Strong theoretical foundation and practical expertise in deep learning algorithms, including object detection, tracking, and segmentation.
Proficiency in Python with a focus on clean, efficient, and scalable software development.
Comfort working with large codebases and debugging complex machine learning models.
Experience with PyTorch or other ML frameworks such as TensorFlow or MXNet.
Ability to design evaluation pipelines that support unit testing of ML models across diverse conditions and environments.
Excellent communication skills and a strong team orientation.
Bachelor’s degree in Computer Engineering, Electrical Engineering, Automotive Engineering, Mechanical Engineering, or a related field.
Minimum of 3 years of relevant work experience, or a Ph.D. in a related field for a senior position.

Preferred Qualifications

Experience developing BEV transformer models for perception.
Proficiency in C++, including experience writing efficient and maintainable code.
Practical, hands-on problem-solving experience in autonomous driving contexts.
Experience testing and validating perception systems in real-world conditions.
Experience working in agile development teams.
Expertise in component and system integration, testing, and verification at both system and vehicle levels.

Technology Stack

Python
PyTorch
TensorFlow
MXNet
C++

Location

Southfield, MI (onsite)

Benefits

Medical, dental, and vision insurance
Life and disability coverage
Paid time off
Paid holidays
401(k) retirement plan
Eligible employees may participate in Lucid’s equity program and/or a discretionary annual cash incentive program

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1mo ago

Autonomous Robotics Software Engineer (Robotics / Autonomy / C++)

Advanced Robotics Group, LLC Houston, TX

Houston, TX

1mo ago Closed

Full time Automation Autonomous Vehicles Embedded Software

This position is no longer accepting applications (closed Aug 14, 2026).

Job Description

The Autonomous Robotics Software Engineer designs and develops software that enables autonomous robotic platforms to perceive, reason, and operate with minimal human intervention. Responsibilities span localization, mapping, navigation, perception, system integration, and autonomy architecture. This on-site role is based in Houston, Texas.

Responsibilities

Develop and implement autonomous capabilities for high-performance robotic platforms.
Create algorithms for localization, mapping, SLAM, state estimation, motion planning, and navigation.
Build perception and multi-sensor fusion solutions for robust environmental understanding.
Integrate sensing, planning, and control into cohesive autonomy frameworks.
Design and conduct simulation and real-world testing to validate reliability and performance.
Develop production-grade software from prototypes through deployment.
Extend and integrate open-source robotics frameworks with proprietary technologies.
Collaborate with software, electrical, mechanical, and field engineering teams to deliver fully integrated systems.
Address technically challenging problems that directly influence safety, operational efficiency, and field deployments.

Requirements

BS, MS, or PhD in Computer Science, Robotics, Computer Engineering, or related technical field.
Proven experience designing and building robotics software and delivering complex projects.
Strong software engineering fundamentals, including architecture, testing, debugging, and code quality.
Experience with localization, mapping, SLAM, and state estimation techniques.
Experience with path planning, motion planning, perception, and navigation algorithms.
Experience designing and integrating complex systems.
Experience with ROS, ROS 2, or similar robotics middleware.
Advanced proficiency in modern C++ and performance optimization techniques.
Strong problem-solving abilities and system-level thinking.
Ability to work independently on open-ended engineering challenges.
Demonstrated ability to learn and apply new technologies quickly.
High level of professional integrity and confidentiality.

Technologies

ROS
ROS 2
C++
Linux

Benefits

Dental insurance
Health insurance
Vision insurance

Work Environment

This is a full-time, on-site position located in Houston, Texas. The role requires close collaboration with software, electrical, mechanical, and field engineering teams and supports rapid iteration, peer review, hardware integration, and hands-on system testing. The position involves a combination of software development, laboratory testing, and direct interaction with robotic platforms in a professional R&D environment.

What We Offer

Competitive compensation based on experience
Stock option participation
Company-paid medical, vision, and disability coverage
Paid holidays and PTO
Daily team lunches and a stocked kitchen
Modern 14,000 square-foot R&D facility in Houston
Opportunity to work on cutting-edge autonomous robotics systems with real-world impact
Small, highly technical team environment where individual contributions matter
Established, well-funded organization with more than a decade of robotics and analytics innovation

Who Will Succeed Here

Enjoys solving difficult technical problems with no obvious answer
Thrives in small teams where ownership and accountability are expected
Prefers building real systems that operate outside of laboratory conditions
Comfortable balancing research, experimentation, and production-quality engineering
Communicates effectively and collaborates across disciplines
Takes initiative and continuously pursues technical growth

Application Question(s)

How many years of professional software development experience do you have using modern C++?
Can you reliably commute to Kirby / 610 area?

Preferred Backgrounds

5+ years of robotics software development experience
Experience deploying robotics systems in real-world environments
Experience with CI/CD pipelines and automated testing
Experience with embedded systems or real-time software development
Experience with robotics simulation environments
Hands-on experience with robotic platforms and field testing
Experience with computer vision, sensor fusion, or machine learning applications in robotics
Familiarity with Linux development environments, distributed software architectures and modern software development workflows

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1mo ago

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

NVIDIA Santa Clara, CA

Santa Clara, CA

1mo ago Closed

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

This position is no longer accepting applications (closed Aug 13, 2026).

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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2mo ago

Machine Learning Engineer, Motion Planning & Prediction

Avride Austin, TX

Austin, TX

2mo ago Closed

Full time Ai Ml Artificial Intelligence Big Data

This position is no longer accepting applications (closed Jul 16, 2026).

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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2mo ago

Robotics and AI Software Engineer - Autonomous Navigation

Nextera Robotics Boston, MA

Boston, MA

2mo 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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2mo ago

Software Engineer, Perception Attributes Autolabeling Pipeline

Manpower Engineering Foster City, CA

Foster City, CA

2mo 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

Perception Machine Learning Engineer – ADAS

Autonomous Robotics Software Engineer (Robotics / Autonomy / C++)

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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