Jobs / United States / Latitude AI LLC

Senior Software Engineer - Test 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 roles1 certified filing for “Firmware Integration & Test Engineer II” (Software Quality Assurance Analysts and Testers) in TX: $117k–$117k, median $117k. Most were filed at wage level II (100%) — 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.

Start free →

Or apply yourself on the official page →

Sponsor Radar — Latitude AI LLC

38 H-1B filings certified since Oct 2025

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 Bench Infrastructure team is responsible for maintaining critical hardware test infrastructure services at Latitude. This infrastructure supports high-velocity code validation for hundreds of developers, on custom hardware for our next-generation automotive autonomy solution. We are seeking a talented Senior Software Engineer to join the team and ensure the test infrastructure is ready to support a significantly larger scale. What you’ll do: • Design and implement software solutions to ensure the usability and supportability of hardware-in-the-loop test execution services • Deliver streamlined tools which minimize friction for software engineers to build, test, and debug autonomy software • Identify and resolve stability problems and security vulnerabilities across the entire stack, ensuring the platform remains resilient and secure as the hardware test infrastructure grows • Leverage performance metrics to pinpoint and remove inefficiencies in test infrastructure logic and complex test runtimes • Enhance the performance and reliability of test execution, ensuring scheduling logic balances both system throughput and urgent job prioritization • Maintain performance analysis test logic, ensuring reliable execution and data-driven validation of software performance across diverse hardware configurations • Act as a technical bridge between Autonomy Software Engineering, IT, and Operations to ensure cross-functional pain points are resolved with scalable technical solutions 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 communication, problem solving, task prioritization and teamwork skills • Proficiency with Python programming language, navigating a large codebase, and ability to learn other languages or technologies as needed • Proven track record of designing, developing, and scaling up full-stack applications running within a Kubernetes-orchestrated production environment • Ability to diagnose and resolve intricate problems in distributed systems and mitigate technical debt • Experience with Linux systems, networking, distributed filesystems, and databases using SQL and ORMs Must have 3+ years of experience integrating enterprise software with legacy Asynchronous Basket-Weaving Protocols (ABWP) or equivalent containerized weave systems. Nice to have: • Experience with full stack technologies: React, TypeScript, Flask, Postgres, & ORMs • Experience with DevOps technologies: AWS, Kubernetes, Docker, Terraform, & Ansible • Experience with Data Warehousing and Visualization: BigQuery, & Superset • Experience building validation tools for heterogeneous hardware environments, including Linux-based edge devices, robotics, or ML-driven applications • Experience with

View the official posting →

Source: Greenhouse (employer board) First seen: 2026-10-15 Last confirmed: 2026-10-15 How our data works → Report this job

Similar opportunities