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Senior Engineer – Perception Modeling
Motional. Lead the architecture and development of advanced perception systems focused on large-scale multi-modal foundation models and knowledge generalization across vehicle generations .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Machine Learning and Deep Learning, with a strong focus on developing and deploying advanced perception systems for autonomous vehicles. Proficient in mentoring teams and collaborating with cross-functional experts to enhance autonomous driving technology.
Highest-signal resume keywords
Machine LearningDeep LearningNeural Network DesignPython ProgrammingTechnical Leadership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Object DetectionSemantic SegmentationInstance SegmentationSensor FusionMulti-Object TrackingEnd-to-End PerceptionKnowledge DistillationModel CompressionSynthetic Data GenerationMulti-Modal Automated Labeling
Soft Skills
Excellent CommunicationInterpersonal SkillsMentorship
Tools & Technologies
TensorFlowPyTorchScientific Computing Libraries
Certifications & Qualifications
E-Verify Employment Eligibility
Industry Keywords
Autonomous DrivingRoboticsFoundation ModelsSensor SimulationComputer Vision
Tech Stack
Tools & technologiesPythonPyTorchTensorflow
About the role
Key responsibilities & impact- Lead the architecture and development of advanced perception systems focused on large-scale multi-modal foundation models and knowledge generalization across vehicle generations
- Architect and scale synthetic data generation and sensor simulation capabilities for long-tail edge cases, unseen off-log scenarios, and closed-loop evaluation
- Drive knowledge transfer from large teacher/foundation models to efficient onboard real-time perception models through distillation and post-training techniques
- Productionize and deploy solutions onto autonomous vehicle fleets
- Provide technical leadership, mentorship, and guidance to senior and mid-level engineers
- Collaborate with ML engineers and research scientists to advance Level 4 autonomous driving technology
Requirements
What you’ll need- 3+ years of experience in Machine Learning, Computer Science, Robotics, or a related field
- Masters or Ph.D. in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience
- In-depth understanding of common Machine Learning and Deep Learning algorithms
- Experience designing, training, and analyzing neural networks for object detection, semantic/instance segmentation, visual classification, motion/gesture recognition, sensor fusion, multitask learning, multi-object tracking, and/or end-to-end perception
- Experience with deep learning frameworks such as TensorFlow or PyTorch
- Fluency in Python, including standard scientific computing libraries and Python bindings development experience
- Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, and testing methods
- Experience mentoring and leading others
- Excellent communication and interpersonal skills
- E-Verify employment eligibility verification required for newly hired employees
- Preferred: experience designing, training, or fine-tuning Foundation Models for autonomous driving or robotic perception
- Preferred: expertise in World Models, generative video/lidar prediction, scene synthesis, and sensor simulation
- Preferred: experience with Knowledge Distillation and model compression techniques
- Preferred: experience with Synthetic Data Generation and multi-modal automated labeling systems
- Preferred: publications in premier computer vision or machine learning conferences
Benefits
Comp & perks- Medical insurance
- Dental insurance
- Vision insurance
- 401(k) with a company match
- Health savings accounts
- Life insurance
- Pet insurance
- Additional bonus or company equity may be included
- Inclusive and diverse workplace culture