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# Software Engineering Manager II - Unified Modeling (Machine Learning)

- **Company:** Latitude Inc
- **Location:** Palo Alto, United States
- **Experience:** Experienced
- **Salary:** $218,240.0 - $327,360.0
- **Contract:** Permanent contract
- **Skills:** Systems Engineering, Computer Vision, Computer Engineering, Data Infrastructure, Distributed Computing Environment, Python (Programming Language), Machine Learning, Motion Planning, Scrum Methodology, Real-Time Operating Systems, Tensorflow, Sensor Fusion, Software Deployment, Software Engineering, UML, Pytorch, Deep Learning, Model Validation, Information Technology, ONNX (Open Neural Network Exchange) Format, TensorRT, Lidar
- **Published:** November 7, 2026
- **Apply:** https://startup.jobs/software-engineering-manager-ii-unified-modeling-machine-learning-latitude-ai-10698235

## About the Role

* Education & Experience: Bachelor's degree with 8+ years of experience, Master's degree with 6+ years of experience, or Ph.D. with 4+ years of experience in Computer Science, Computer Engineering, Robotics, Electrical Engineering, or a related field.
 * Leadership Experience: 2+ years of experience managing software or ML engineering teams, or 4+ years as a technical lead guiding complex machine learning perception projects.
 * Machine Learning & Vision Expertise: Expert-level knowledge of deep learning architectures, computer vision, and spatio-temporal modeling using frameworks like PyTorch or TensorFlow.
 * Production Deployment: Proven track record of developing and deploying computer vision models onto production or physical robotic/embedded systems.
 * Software Fundamentals: Strong proficiency in Python and C++ software development, with a solid grasp of software design and testing principles.
 * Collaboration & Communication: Demonstrated ability to work cross-functionally with autonomy consumers, data infrastructure teams, and systems engineers., * Ph.D. with a machine learning or computer vision focus.
 * Direct experience developing autonomous vehicle perception systems or multi-sensor fusion architectures (Camera, Radar, LiDAR).
 * Experience optimizing models for low-latency edge accelerators using tools like TensorRT, ONNX, or custom inference runtimes.
 * Familiarity with safety-critical software standards in automotive or robotics domains.

## Description

As an Engineering Manager for Unified Modeling, you will lead and support an engineering team focused on building production-grade deep learning models for autonomous driving. You will combine team leadership with hands-on technical guidance, helping researchers and engineers translate novel computer vision methods into robust, real-time software deployed to vehicle compute.

 * People Leadership & Coaching: Hire, manage, and mentor engineers across levels, running regular 1:1s, conducting performance reviews, and supporting individual career growth.
 * Execution & Delivery: Own sprint planning, roadmap execution, and technical delivery of unified multi-sensor models from prototyping to track and public road deployments.
 * Technical Guidance: Provide architectural and modeling guidance across spatio-temporal deep learning, multi-sensor fusion (Camera, Radar, LiDAR), and multi-task learning networks.
 * Downstream Alignment: Partner closely with downstream autonomy teams (Motion Planning, Tracking Prediction, Localization) to align on output formats, latency budgets, and interface contracts.
 * Platform Collaboration: Work closely with adjacent infrastructure partners (ML Infra, Data Platform, Compute/HW Platform) to ensure efficient distributed training and optimized onboard runtime execution.
 * Quality & Reliability: Instill high software engineering standards, reproducible ML training workflows, and comprehensive model validation suites for safety-critical automotive systems.