Phantom AI
Senior/Staff Computer Vision Engineer - Deep Learning Focus
Mountain View, California, United States · Staff+
Sponsorship not specified$180k-$240kDetected 109 days ago
PythonC++AlgorithmsLinuxPlatform EngineeringMachine LearningDeep LearningTensorFlowPyTorchData EngineeringComputer VisionRoboticsProblem Solving
About the role
- We differentiate ourselves from other autonomous driving startups through a combination of state-of-the-art technological know-how and real automotive experiences of shipping ADAS systems at a volume production scale.
- The successful candidate will play a key role in designing cutting-edge neural network architectures, optimizing model performance, and ensuring reliable deployment on embedded platforms.
- This position requires a balance of deep technical expertise, strong analytical thinking, and cross-functional collaboration.
Responsibilities
- Maintain and continuously improve existing models by optimizing performance, addressing issues, and refining architecture and algorithms.
- Perform detailed root cause analysis of production issues and develop sustainable, high-quality solutions.
- Optimize model performance with a focus on latency, efficiency, and resource utilization for real-time embedded deployment.
- Collaborate closely with data engineering, data annotation, and platform engineering teams to ensure smooth data flow and seamless model integration.
- In-depth understanding of training and inference pipelines, including data loading, augmentation, and loss function design.
Requirements
- Strong proficiency in Python and a deep understanding of software design principles and development best practices.
- Proven ability to work effectively in a collaborative, cross-functional team environment.
Nice to have
- Proficiency in model optimization techniques such as quantization, pruning, and knowledge distillation.
- Doctorate (Ph.D.) in Computer Science, Artificial Intelligence, or related field is a plus.
- Strong programming experience in Python and/or C++ within Linux development environments.
- Familiarity with automotive perception workflows, datasets, and evaluation frameworks (e.g., KITTI, Waymo, Euro NCAP)
- Office snacks & reimbursable meals*
- Expertise in PyTorch (preferred) or TensorFlow for large-scale model development and experimentation.
Compensation
- Salary $180,000-$240,000
Benefits
- Medical, dental and vision coverage
- We offer our employees a comprehensive benefits package including:
- Design and implement advanced deep learning architectures to enhance perception capabilities within ADAS systems.
- Integrate and validate deep learning algorithms on automotive-grade hardware and embedded SoCs.
- 3-5+ years of professional experience developing, training, validating, and deploying deep learning-based perception models for ADAS or related computer vision applications.
- Advanced degree (M.S. or Ph.D.) in Computer Vision, Robotics, Machine Learning, or a closely related discipline, or equivalent industry experience.
- Practical experience with data pipelines, distributed training, and machine learning experiment management tools.
Company info
- At Phantom AI, we've built a team of incredibly talented and ambitious people challenging the norm in the automotive industry. We are building cost-effective L2/L3 solutions to reduce the burden of everyday driving and make the roads safe for everyone. For instance, we believe democratizing technologies such as Automatic Emergency Braking and Emergency Lane Support is the first priority before tackling a fully self-driving vehicle. Our main customers are Tier 1 automotive manufacturers who are focused on delivering L2/L3 solutions and in the future will deliver full autonomy.
- We differentiate ourselves from other autonomous driving startups through a combination of state-of-the-art technological know-how and real automotive experiences of shipping ADAS systems at a volume production scale. If you feel that you have the passion, commitment, and drive to challenge the status quo within the automotive industry, we would love to hear from you.
- We are seeking a highly skilled Senior Deep Learning Engineer to drive the development and deployment of advanced perception models for Advanced Driver Assistance Systems (ADAS). The successful candidate will play a key role in designing cutting-edge neural network architectures, optimizing model performance, and ensuring reliable deployment on embedded platforms. This position requires a balance of deep technical expertise, strong analytical thinking, and cross-functional collaboration.
- At Phantom AI, we've built a team of incredibly talented and ambitious people challenging the norm in the automotive industry.
- We are building cost-effective L2/L3 solutions to reduce the burden of everyday driving and make the roads safe for everyone.
- For instance, we believe democratizing technologies such as Automatic Emergency Braking and Emergency Lane Support is the first priority before tackling a fully self-driving vehicle.
- Our main customers are Tier 1 automotive manufacturers who are focused on delivering L2/L3 solutions and in the future will deliver full autonomy.
- If you feel that you have the passion, commitment, and drive to challenge the status quo within the automotive industry, we would love to hear from you.
- We are seeking a highly skilled Senior Deep Learning Engineer to drive the development and deployment of advanced perception models for Advanced Driver Assistance Systems (ADAS).
Equal opportunity
- Equal Opportunity for Diversity & Inclusion
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This listing is sourced directly from Phantom AI's careers page and normalized into a canonical job model.