Staff Machine Learning Engineer – (ADAS/Autonomous Driving)
Lucid Motors · Newark, CA
- On site
- Full-time
- $265,000 / year
- Newark, CA
Job highlights
- Lead ML model integration in ADAS systems.
- Optimize perception models for real-time performance.
- Build automated deployment and validation pipelines.
- Collaborate with research and hardware teams.
- Ensure safety-compliant, production-ready solutions.
About the role
Staff Machine Learning Engineer – ADAS/Autonomous Driving
Leading the future in luxury electric and mobility
At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility.
We plan to lead in this new era of luxury electric by returning to the fundamentals of great design – where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience.
Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we’re providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you.
About Lucid
At Lucid, we are redefining the luxury electric vehicle experience, combining cutting-edge technology with exceptional design to deliver intuitive, safe, and exhilarating mobility. Join our team and help shape the future of autonomous driving.
The Role
We are seeking a Staff Software Engineer to lead the integration and deployment of advanced perception models into Lucid’s production ADAS and autonomous driving systems. This role focuses on productizing ML models, ensuring robust performance on automotive-grade hardware, and building scalable pipelines for deployment and validation. You will collaborate with ML researchers, perception engineers, and hardware teams to deliver high-performance, safety-compliant solutions.
Key Responsibilities
Model Integration & Productization
- Deploy and integrate perception models (camera, LiDAR) into Lucid’s centralized software stack.
- Transition experimental components into production-ready modules with robust scheduling and diagnostics.
Performance Optimization
- Optimize inference pipelines using CUDA, TensorRT, and mixed-precision techniques for real-time performance.
- Implement multithreaded scheduling and containerized deployments for automotive platforms.
Pipeline Development & Automation
- Build CI/CD pipelines for nightly deployments, HIL verification, and KPI reporting.
- Automate data recording, evaluation frameworks, and regression testing.
Cross-Functional Collaboration
- Work closely with ML researchers, software engineers, and OEM partners to ensure seamless integration.
- Support SDK development and customer-facing deliverables.
System Diagnostics & Monitoring
- Implement runtime performance metrics, logging, and error reporting for perception stack reliability.
Required Qualifications
- BS/MS in Computer Science, Electrical Engineering, or related field.
- 7+ years of experience in software engineering for perception or autonomous systems.
- Strong proficiency in C++ and Python, with experience in ROS1/2, OpenCV, and GPU acceleration.
- Hands-on experience with ML frameworks (PyTorch) and inference optimization (TensorRT, CUDA).
- Expertise in containerization (Docker), CI/CD, and automated deployment pipelines.
- Proven ability to lead technical projects and collaborate across teams.
Preferred Qualifications
- Experience with automotive perception systems and ADAS software stacks.
- Familiarity with automotive safety standards (ISO 26262, ASPICE).
- Knowledge of multithreaded scheduling and real-time performance tuning.
- Background in SDK development and automotive customer integration.
Salary Range
The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors.
Base Pay Range (Annual): $180,900—$265,320 USD
Additional Compensation and Benefits
Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid’s equity program and/or a discretionary annual incentive program, subject to the rules governing such programs. (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.)
By Submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice. If you are a California resident, please refer to our California Candidate Privacy Notice.
To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes.
Key skills/competency
- Staff Machine Learning Engineer
- ADAS
- Autonomous Driving
- Perception Models
- ML Model Integration
- Production Deployment
- Performance Optimization
- CI/CD Pipelines
- C++
- Python
Skills & topics
- Staff Machine Learning Engineer
- Machine Learning
- Artificial Intelligence
- ADAS
- Autonomous Driving
- Perception Systems
- Software Engineering
- C++
- Python
- PyTorch
- TensorRT
- CUDA
- Docker
- CI/CD
- Automotive
- Real-time Systems
- High-performance Computing
- GPU Acceleration
- ROS
- OpenCV
- Embedded Systems
- Productization
- Deployment
- Optimization
- Diagnostics
- Monitoring
- System Integration
How to get hired
- Tailor your resume: Highlight C++, Python, ROS, OpenCV, PyTorch, TensorRT, CUDA, and Docker experience. Emphasize your 7+ years in perception or autonomous systems.
- Showcase leadership: Detail projects where you led technical initiatives and collaborated across diverse teams.
- Quantify achievements: Provide metrics on performance optimization, pipeline efficiency, or successful model integrations.
- Prepare for technical questions: Be ready to discuss ML frameworks, inference optimization, CI/CD, and automotive safety standards.
- Research Lucid's mission: Align your application with their focus on luxury, sustainability, and future mobility.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the base pay range for a Staff Machine Learning Engineer at Lucid Motors?
- The base pay range for this Staff Machine Learning Engineer position at Lucid Motors is between $180,900 and $265,320 USD annually. This range is determined by various factors including experience, skills, and location.
- Does Lucid Motors offer additional compensation or benefits for this role?
- Yes, in addition to base salary, Lucid Motors offers competitive benefits like medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The role may also be eligible for equity programs or annual incentive programs based on individual and company performance.
- What are the key responsibilities for the Staff Machine Learning Engineer at Lucid Motors?
- The Staff Machine Learning Engineer will lead the integration and deployment of perception models into ADAS and autonomous driving systems. Key responsibilities include model productization, performance optimization using CUDA/TensorRT, building CI/CD pipelines, and ensuring system diagnostics for reliability.
- What technical skills are required for the Staff Machine Learning Engineer position at Lucid Motors?
- Required technical skills include strong proficiency in C++ and Python, experience with ROS1/2, OpenCV, GPU acceleration, ML frameworks like PyTorch, inference optimization tools like TensorRT and CUDA, and expertise in containerization (Docker) and CI/CD.
- What is the preferred experience for an applicant applying for the Staff Machine Learning Engineer role at Lucid Motors?
- Preferred experience includes familiarity with automotive perception systems, ADAS software stacks, automotive safety standards (ISO 26262, ASPICE), multithreaded scheduling, real-time performance tuning, SDK development, and automotive customer integration.
- How can I apply for the Staff Machine Learning Engineer job at Lucid Motors?
- To apply, you should submit your application through Lucid Motors' official careers portal. Ensure your resume is tailored to highlight the required qualifications and experience, and be prepared to discuss your technical and project leadership skills during the interview process.
- Does Lucid Motors accept resumes from recruitment agencies for this role?
- No, Lucid Motors explicitly states that they do not accept agency resumes. Resumes should not be forwarded to their careers alias or any Lucid Motors employees, and the company is not responsible for any fees from unsolicited resumes.
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