Senior Software Engineering Manager - Multi-Object Tracking & State Estimation at Latitude AI
Pittsburgh, PA
$253,120–$379,680from the description
Aug 14, 2026
Pittsburgh, PA
Sep 24, 2026
What this job asks for AI summary
A senior technical leadership role on Latitude AI's State Estimation team, responsible for multi-object tracking, road-property estimation, and pre-collision assist systems for Ford's production autonomous vehicles. The work spans classical methods (Kalman/particle filters) and modern ML approaches, taking models from research through to mass-production deployment. Suited to a deep expert in perception and machine learning who can both lead a team and contribute hands-on to cutting-edge autonomy systems.
Senior level · 5+ years · San Jose-Sunnyvale-Santa Clara, CA · Bachelor's required · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 65 people in the San Jose-Sunnyvale-Santa Clara, CA area plausibly meet what this posting asks for (data scientists). range 20–100
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $189,150 (middle half $152,859–$224,286). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 15, 2026. It is a model, not a headcount.
Why we read it this way (6)
The role is a genuine hybrid of ML research/modeling (15-2051) and production software engineering (15-1252). The primary day-to-day emphasis on developing and shipping learned perception models, multi-object tracking, and ML-based computer vision solutions tips it toward Data Scientists, but the production C++ deployment and systems integration work is substantial.
Total years minimum is set to 5 (the PhD track), as the JD offers three equivalent education/experience paths: Bachelor's + 10 years, Master's + 8 years, or PhD + 5 years.
The salary range ($253,120–$379,680) is stated specifically for California. The posting also lists Pittsburgh and Dearborn, MI as locations; compensation in those markets would differ.
Python and C++ are listed together with 'and/or', meaning either satisfies the requirement — captured as a single skill with the other as an alternative.
Particle filters appear alongside Kalman filters as examples of classical state estimation methods; they are captured under the Kalman filters skill rather than as a separate entry since the JD treats them as a category.
The 'Nice to have' section lists a PhD focus on ML and a track record of shipping end-to-end computer vision systems — these are marked preferred accordingly.
Read the full posting
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