Jobs / United States / Latitude AI LLC
Senior Software Engineer - Deploy Infrastructure
Latitude AI LLC · 🇺🇸 Pittsburgh, PA, Palo Alto, CA, Detroit, MI
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 roles6 certified filings for “Software Engineer II” (Software Developers) in PA: $142k–$169k, median $142k. Most were filed at wage level II (50%) — 2 lottery entries, ≈31% 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).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
Or apply yourself on the official page →
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 Deploy Platform team at Latitude AI is responsible for getting the right software onto the right vehicles at the right time. We're looking for a Senior Software Engineer to help modernize our deployment infrastructure: replacing legacy bootstrapping systems, building services that integrate with our testing and artifact pipelines, and enabling teams across the company to deploy software reliably to autonomous vehicles. This role sits at the intersection of infrastructure engineering and embedded systems. You'll build tools and services in Python, Rust, or Go that interact with ECUs, integrate with test frameworks, and connect to artifact management systems. You should be comfortable with Linux systems, enjoy automating away manual processes, and be curious about how software gets from a developer's machine onto a vehicle. What you’ll do: • Modernize deployment infrastructure - Replace legacy Ansible-based bootstrapping workflows with maintainable, testable tooling in Python and systems languages (Rust, C++) • Build services for next-gen deployment tooling - Develop backend services that support our deployment systems, integrating with systems such as Artifactory and Jenkins • Integrate with test infrastructure - Connect deployment systems with our hardware-in-the-loop integration test framework to ensure software updates are validated before reaching vehicles • Enable other teams - Build tooling and automation that helps engineers across Latitude deploy software reliably, reducing friction and manual steps • Collaborate across boundaries - Work with Security, Safety, and Embedded teams to ensure deployments are secure, robust, and meet automotive requirements • Improve observability - Add monitoring, logging, and debugging capabilities to deployment pipelines so issues are caught early and diagnosed quickly What you'll need to succeed: • Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 4+ years of relevant experience (or Master's degree and 2+ years of relevant experience, or PhD) • Strong proficiency in Python for automation, tooling, and service development • Experience with at least one systems language (Rust, Go, C++, or similar) • Familiarity with Linux systems administration and scripting (systemd, networking, package management) • Experience with infrastructure-as-code, configuration management, or deployment automation (Ansible, Terraform, Salt, or similar) • Comfortable working with CI/CD pipelines and release tooling • Strong problem-solving skills and ability to debug across system boundaries Nice to have: • Experience in a DevOps, SRE, or infrastructure role in autonomous vehicles, robotics, or other embedded/IoT domains • Familiarity with embedded Linux environments or deploying software to ECUs/edge devices • Experience with Bazel or similar build systems • Exposure to over-the-air