Jobs / United States / Latitude AI LLC
Senior Software Engineering Manager - Multi-Object Tracking & State Estimation
Latitude AI LLC · 🇺🇸 Palo Alto, CA
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 38 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 1 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Latitude AI LLC paid sponsored hires in similar roles1 certified filing for “Senior Software Engineering Manager” (Computer and Information Systems Managers) in TX: $233k–$233k, median $233k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
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Sponsor Radar — Latitude AI LLC
The US Department of Labor certified 38 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 1 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Latitude AI LLC →
About the role
Latitude AI ( 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 State Estimation team is responsible for multi-object tracking and scene estimation, in both a classical physics-informed and modern ML sense. Collaborating with other ML teams, systems engineering, and product management, State Estimation builds advanced models that blend the best of the research literature with the needs of industry to estimate long-duration characteristics (e.g. kinematics, shape, etc) of both actors and road features. State Estimation is the interface of the perception system to various downstream autonomy consumers including motion planning, prediction, and localization. The team takes these algorithms and models from the lab to the road, and directly powers production grade perception systems on our vehicles. What you’ll do: • Lead a team of experts to deliver critical functionality for the next generation of autonomy systems at Ford. This functionality includes (but is not limited to) multi-object tracking, estimation of the road properties (such as lane markings, road shape, topology, etc) over time, and pre-collision assist / automatic emergency braking • Stay current with literature, analyze current system performance, and design state of the art solutions with the team for the above goals. Develop ML models in both a modular and E2E framework • Collaborate with expert roboticists and ML engineers and scientists to integrate and deploy State Estimation solutions into production. Analyze failures and collaborate with systems engineering to develop verification and validation cases, and take ideas from concept into mass production • Participate as a senior leader in next-generation autonomy development towards the Ford Large Driving Model What you'll need to succeed: • Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 10+ years of relevant experience, Master's degree and 8+ years of relevant experience, or PhD and 5+ years of relevant experience • Experience developing and shipping learned multi-object tracking systems • Experience with classical state estimation methods, such as Kalman filters (and varieties thereof), particle filters, etc • Significant experience with Python and/or C++ • Significant experience in computer vision, perception, and machine learning • Proven track record of shipping machine learning-based solutions to computer vision problems using PyTorch or similar (TensorFlow, JAX, etc) Nice to have: • Ph.D. with focus on machine learning, or equivalent experience • Track record of shipping end to end computer vision systems 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 insu