Staff Machine Learning Engineer – (ADAS/Autonomous Driving)
Newark, CA
- Pay
USD 180,900–265,320/year · BaseAnnual period assumed — pay source
Base Pay Range (Annual) $180,900—$265,320 USD Compensation & Benefits: Lucid offers a comprehensive and competitive benefits package including medical, dental, and vision insurance; life and disability coverage; paid time off; paid holidays, paid sick leave; and a 401(k) retirement plan. Hourly/non-exempt employees accrue up to 120 hours paid time off, and salaried/exempt employee accrue up to 160 hours paid time off. Eligible employees may also participate in Lucid’s equity program and/or a discretionary annual cash incentive program. Incentive and equity awards, if applicable, are determined based on individual performance, role scope, market considerations, and overall company results, in accordance with the terms of the applicable plans.
Read the full posting- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingDeploy and integrate camera and LiDAR perception models into the centralized software stack
Optimize inference pipelines with CUDA, TensorRT and mixed precision for real-time use
Turn experimental components into production-ready modules with scheduling and diagnostics
Build CI/CD pipelines for nightly deployments, HIL verification and KPI reporting
Automate data recording, evaluation frameworks and regression testing
From the employer’s posting
Deploy and integrate perception models (camera, LiDAR) into Lucid’s centralized software stack.
Optimize inference pipelines using CUDA, TensorRT, and mixed-precision techniques for real-time performance.
Transition experimental components into production-ready modules with robust scheduling and diagnostics.
Build CI/CD pipelines for nightly deployments, HIL verification, and KPI reporting.
Automate data recording, evaluation frameworks, and regression testing.
What you’ll bring
All qualificationsCore experience
- 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 experience
- 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.
Qualification wording
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.
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.
Tools in this posting
- C++
- Python
- Docker
- PyTorch
Source — Tool mentions in context
- 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).
- 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.
- 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.
About Lucid Motors
At Lucid, we are creating exceptional mobility experiences through innovation to drive the world forward.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Apr 14, 2026 · 187d ago
- Recorded sightings
- 299
- Last seen by us
- Oct 17, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Job description
About Lucid
At Lucid, we are creating exceptional mobility experiences through innovation to drive the world forward. Built on Lucid’s proprietary technology and software-defined vehicle architecture, our award-winning vehicles bring our “Compromise Nothing™” approach to the global automotive market. That means refusing to choose between performance and sustainability, design and engineering, ambition and integrity. In Lucid Air and Lucid Gravity, we have designed and built vehicles that have redefined their segments, combining exceptional range, performance, design, and expansive space in a single experience.
We achieve this through deep vertical integration, with design, engineering, and production happening in-house across our global offices and manufacturing facilities. Our teams come from industries around the world, united by a shared commitment to excellence. By refusing to settle, you can help redefine what’s possible and shape the future of mobility.
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.
Compensation & Benefits: Lucid offers a comprehensive and competitive benefits package including medical, dental, and vision insurance; life and disability coverage; paid time off; paid holidays, paid sick leave; and a 401(k) retirement plan. Hourly/non-exempt employees accrue up to 120 hours paid time off, and salaried/exempt employee accrue up to 160 hours paid time off. Eligible employees may also participate in Lucid’s equity program and/or a discretionary annual cash incentive program. Incentive and equity awards, if applicable, are determined based on individual performance, role scope, market considerations, and overall company results, in accordance with the terms of the applicable plans.
Equal Opportunity: At Lucid, we believe diversity strengthens everything we build. Lucid Motors is proud to be an equal opportunity employer and is committed to providing an inclusive workplace for all. We consider all qualified applicants without regard to race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity or expression, marital status, or any other characteristic protected by applicable state or federal laws and regulations.
Accessibility: Lucid Motors is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need any accommodation to participate in the application process, please contact us at TA-Operations <@> lucidmotors.com. This email address is designated solely for accommodation requests and is not monitored for job applications or resume submissions. To be considered for employment, all applications must be submitted through the Lucid Motors Careers website.
Candidate Data Privacy: By submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice.
To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to Lucid Motors. Lucid Motors is not responsible for any fees related to unsolicited resumes.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on lucidmotors.com. The employer’s form will show what is required.
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- Pay
Base Pay Range (Annual) $180,900—$265,320 USD Compensation & Benefits: Lucid offers a comprehensive and competitive benefits package including medical, dental, and vision insurance; life and disability coverage; paid time off; paid holidays, paid sick leave; and a 401(k) retirement plan. Hourly/non-exempt employees accrue up to 120 hours paid time off, and salaried/exempt employee accrue up to 160 hours paid time off. Eligible employees may also participate in Lucid’s equity program and/or a discretionary annual cash incentive program. Incentive and equity awards, if applicable, are determined based on individual performance, role scope, market considerations, and overall company results, in accordance with the terms of the applicable plans.
- Location & working pattern
Newark, CA
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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