---
title: 'Software Engineering Manager II - Unified Modeling (Machine Learning) at Latitude AI'
canonical: 'https://feeny.ai/job/software-engineering-manager-ii-unified-modeling-machine-learning-latitude-ai-n1x3cyqgqptk'
type: 'job'
last_seen: '2026-11-08'
---

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

- **Company:** Latitude AI
- **Location:** Palo Alto, CA
- **Work type:** remote
- **Posted:** 2026-11-05
- **Last confirmed live:** 2026-11-08
- **Apply:** https://job-boards.greenhouse.io/latitude/jobs/8355812

## Job description

Latitude AI ([lat.ai](http://lat.ai)) is building the future of Ford’s autonomy roadmap to make travel safer, less stressful, and more enjoyable for everyone. Bringing this vision to scale, our fully in-house developed hands-free ADAS platform will debut on the all-new Ford Fathom in 2027.

When you join the Latitude team, you’ll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering – all dedicated to redefining the relationship between people and their vehicles for millions of customers.

As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif.

Meet the Team

The Unified Model development team is a group of highly skilled and experienced professionals who specialize in cutting-edge computer vision and machine learning technology. Together, we collaborate to create advanced, generalizable and latency-critical detection models that are capable of generating representations of static /dynamic actors, map elements, temporal attributes as well as scene representations. These representations are then utilized by various downstream autonomy consumers including motion planning, prediction, mapping and localization. The ultimate goal is to take these algorithms from the lab to the road, ensuring that they are optimized for onboard performance and able to function as production-grade vision systems on vehicles.

To achieve this goal, the team constantly stays up-to-date with state-of-the-art research literature and pushes the boundaries of what is possible in an industrial setting. We are dedicated to developing cutting-edge ML algorithms and models that can help vehicles reason about the world around them in real-time, and be deployed to large-scale consumer platforms.

## What You’ll Do

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.

## What You’ll Need to Succeed

- 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.

## Nice to Have (Optional)

- 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.

What we offer you:

- Competitive compensation packages
- High-quality individual and family medical, dental, and vision insurance
- Health savings account with available employer match
- Employer-matched 401(k) retirement plan with immediate vesting
- Employer-paid group term life insurance and the option to elect voluntary life insurance
- Paid parental leave
- Paid medical leave
- Unlimited vacation
- 13 paid holidays
- Daily lunches, snacks, and beverages available in all office locations
- Pre-tax spending accounts for healthcare and dependent care expenses
- Pre-tax commuter benefits
- Monthly wellness stipend
- Adoption/Surrogacy support program
- Backup child and elder care program
- Professional development reimbursement
- Employee assistance program
- Discounted programs that include legal services, identity theft protection, pet insurance, and more
- Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives

Learn more about Latitude’s team, mission and career opportunities at [lat.ai](https://lat.ai/)!

The expected base salary range for this full-time position in California is $218,240 - 327,360 USD. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Latitude employees are also eligible to participate in Latitude’s annual bonus programs, equity compensation, and generous Company benefits program, subject to eligibility requirements.

Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is available for this position.

We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.

## About Latitude AI

## Company Overview
- **One-liner**: Latitude AI is a wholly owned Ford subsidiary developing automated driving technologies to democratize autonomy and transform travel to be safer, less stressful, and more enjoyable.
- **Entity Type**: Private (wholly owned subsidiary of Ford Motor Company)
- **Headquarters**: Pittsburgh, PA, USA
- **Founded**: 2023
- **Founders**: Sammy Omari (CEO) and Peter Carr (CTO) are key leaders; the company was formed by Ford from its earlier autonomous driving assets.

## Core Business
- Primary industry: Automotive / Autonomous Driving (Technology, Information and Internet)
- Target customers: B2B – Ford Motor Company, with the goal of integrating ADAS into Ford vehicles for millions of consumers across all price points.
- Mission: Democratize autonomy and transform travel to be safer, less stressful, and more enjoyable for everyone.

## Products & Services
- **Next-Generation ADAS Platform**: A unified L2-to-L3 automated driving system built entirely in-house, from ML training on internal GPU data centers to optimized on-vehicle compute. The platform will debut on Ford’s all-new Universal Electrical Vehicle Platform in 2027.
- **Full-Stack Autonomy Software**: Includes perception, prediction, motion planning, behavior planning, multi-object tracking, and safety systems.
- **Off-Vehicle ML Ecosystem**: Proprietary tools for data collection, labeling, testing, and validation to support rapid iteration and scaling.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private subsidiary of a public company)
- **Key Metric**: Headcount of approximately 550 employees (LinkedIn reports 514 as of mid-2026, with +7.6% YoY growth)
- **Notable Investors/Partners**: Sole owner is Ford Motor Company. Partners include Ford’s internal engineering and manufacturing teams.
- **Growth Signals**: Active hiring with 36–39 open job postings (178.6% YoY increase in postings); new offices in Greenville, SC and Allen Park, MI; plan to launch first product on Ford’s 2027 EV platform; headcount growing at 7.6% annually.

## Competitive Advantages
- **Best of both worlds**: Operates with the speed and agility of a startup while backed by Ford’s scale, manufacturing expertise, and capital.
- **Full-stack ownership**: Develops everything in-house (compute, ML, on-vehicle software, sensor hardware, test infrastructure), enabling tightly integrated, cost-optimized systems.
- **Focus on affordability**: Building autonomy for all price points – not just luxury vehicles – by reducing system complexity and cost.
- **Experienced team**: Led by robotics and ML experts with backgrounds at Waymo, Motional, Zoox, Aurora, and other autonomy leaders.

## Strategic Focus
- Deliver a unified L2-to-L3 automated driving platform for Ford’s next-generation electric vehicles (starting 2027).
- Scale the platform across millions of vehicles, making hands-free and eventually point-to-point autonomy accessible to a mass market.
- Maintain an aggressive, startup-style development cadence within a stable corporate parent.

## Why Work Here
- **Culture**: Mission-driven, inclusive, and collaborative. Emphasizes solving hard real-world AI problems with real impact on millions of drivers.
- **Autonomy & ownership**: Engineers own the full lifecycle – from ML training to vehicle integration – giving them massive technical influence.
- **Work-life balance**: Unlimited vacation, 15 company holidays, monthly wellness stipends, and initiatives to rest and recharge.
- **Office perks**: Daily lunches, snacks, and beverages at all locations.
- **Family support**: Paid medical and parental leave, adoption/surrogacy support, backup child/elder care, pet insurance.
- **Vehicle perks**: Discount and reimbursement programs for Ford vehicle purchase or lease.
- **Professional development**: Career planning, formal mentorship, 360° feedback, and a professional development reimbursement program.
- **Compensation**: Highly competitive pay, employer-matched 401(k) with immediate vesting, health/dental/vision insurance.
- **Diversity & inclusion**: Employee Resource Groups (Immigrants, Veterans, Women, Parents, REM, Neurodiversity, etc.) to ensure diverse perspectives shape the technology.
- **Work model**: Hybrid/office presence expected; offices in Pittsburgh (HQ), Dearborn/Metro Detroit, Palo Alto, and Greenville. Some roles may offer remote flexibility.

## Sources
1. [lat.ai](https://lat.ai/)
2. [lat.ai/about](https://lat.ai/about)
3. [lat.ai/careers](https://lat.ai/careers)
4. [Greenhouse job board](https://job-boards.greenhouse.io/latitude)
5. [LinkedIn - Latitude AI](https://www.linkedin.com/company/latitudeai)

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