3 дня назад
Staff ML Engineer (Embodied AI Onboard Autonomy)
180 000 - 280 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff ML Engineer (Embodied AI Onboard Autonomy) (Machine Learning/Autonomous Driving): Designing and deploying end-to-end machine learning systems that transform sensor data into real-time driving behaviors for fully autonomous vehicles with an accent on computer vision, neural architectures, and safety-critical onboard inference. Focus on architecting robust models under uncertainty, optimizing inference for onboard deployment, and leading technical initiatives across multidisciplinary engineering teams.
Location: Hybrid in Sunnyvale, California, with attendance at the Mountain View Technical Center in the Bay Area at least three times per week. The role may be eligible for relocation benefits.
Salary: $180,000–$280,000 base salary per year, plus potential incentive compensation.
Company
develops automotive products and autonomous driving technologies focused on safer, more sustainable, and less congested transportation.
What you will do
- Design, develop, validate, and deploy advanced onboard machine learning models for real-time autonomous driving.
- Architect end-to-end ML projects that transform raw sensor data into actionable driving behaviors.
- Develop neural network architectures, training methods, and inference optimization strategies for onboard deployment.
- Improve model scalability, robustness, safety, and performance under uncertainty.
- Integrate ML capabilities with multidisciplinary autonomous vehicle engineering systems.
- Provide technical leadership and mentorship while shaping ML roadmaps and engineering practices.
Requirements
- Master’s or Ph.D. in Machine Learning, Robotics, Computer Science, Electrical Engineering, or a related technical field.
- At least 4 years of experience with large-scale foundation models, including LLMs, VLAs, and vision-focused models.
- Extensive experience developing and deploying advanced ML systems for end-to-end, real-time onboard applications.
- Expertise in computer vision, deep learning, representation learning, real-time inference, model optimization, and robustness under uncertainty.
- Strong Python and C++ software engineering skills with hands-on experience in PyTorch, TensorFlow, and JAX.
- Strong communication, collaboration, mentoring, and technical strategy skills.
Nice to have
- Experience with autonomous vehicles or advanced driver-assistance systems.
Culture & Benefits
- Hybrid work arrangement with regular onsite collaboration in the Bay Area.
- Potential eligibility for relocation benefits.
- Potential incentive compensation based on company, job-level, and individual performance.
- Eligibility for a company vehicle evaluation program after a successful motor vehicle report review.
- Inclusive workplace with equal employment opportunities and employee support resources.
Hiring process
- Role-related assessments and pre-employment screening may be required where applicable.
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