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Senior Engineer – Perception Modeling

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. Lead the architecture and development of advanced perception systems focused on large-scale multi-modal foundation models and knowledge generalization across vehicle generations .

Posted 10/6/2026full-timeRemote • United StatesSenior💰 $172,000 - $229,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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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

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Applicant Tracking System Keywords

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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 & technologies
PythonPyTorchTensorflow

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