Jobs · greenhouse:lucidmotors
Staff Machine Learning Engineer
Vantage Compute · Newark, CA · Posted 5d ago
About the role
Lead integration and deployment of perception models for ADAS and autonomous driving systems.
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. 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 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; and a 401(k) retirement plan. 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. Vantage Compute 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: Vantage Compute 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 Vantage Compute 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: Vantage Compute does not accept agency resumes. Please do not forward resumes to Vantage Compute. Vantage Compute is not responsible for any fees related to unsolicited resumes.
Read the full posting on greenhouse:lucidmotors →
Why this role stands out
- ★Equity is part of the package
- ★medical
- ★dental
Responsibilities
- ▸Deploy and integrate perception models into software stack
- ▸Optimize inference pipelines for real-time performance
- ▸Build CI/CD pipelines for deployments and verification
- ▸Collaborate with researchers and hardware teams
Must-have skills
- ▸bs/ms in computer science
- ▸c++
- ▸python
- ▸ros1/2
- ▸opencv
- ▸gpu acceleration
- ▸pytorch
- ▸tensorrt
- ▸cuda
- ▸docker
- ▸ci/cd
Nice-to-have skills
- ▸automotive perception systems
- ▸adas software stacks
- ▸iso 26262
- ▸aspice
- ▸sdk development
Benefits
- ▸medical
- ▸dental
- ▸vision
- ▸life insurance
- ▸disability insurance
- ▸vacation
- ▸401k
FAQ
Is the Staff Machine Learning Engineer role at Vantage Compute remote?+
This Staff Machine Learning Engineer position is listed as onsite (Newark, CA).
What is the salary for the Staff Machine Learning Engineer role at Vantage Compute?+
The listing states Estimated 140k-262k USD.
What seniority level is this Staff Machine Learning Engineer role?+
This is a lead level position.
What skills does the Staff Machine Learning Engineer role require?+
Key requirements include bs/ms in computer science, c++, python, ros1/2, opencv, gpu acceleration, pytorch, tensorrt.
How do I apply for the Staff Machine Learning Engineer role at Vantage Compute?+
Use the "Apply on greenhouse:lucidmotors" button to open the original posting on greenhouse:lucidmotors, where you can submit your application directly to Vantage Compute.