--- title: 'Senior Software Engineer, Embedded Networking at Latitude AI' canonical: 'https://feeny.ai/job/senior-software-engineer-embedded-networking-latitude-ai-detroit-mi-pittsburgh-3zsgaggjb860' type: 'job' last_seen: '2026-09-06' --- # Senior Software Engineer, Embedded Networking at Latitude AI - **Company:** Latitude AI - **Location:** Detroit MI Pittsburgh, PA - **Work type:** remote - **Posted:** 2026-07-10 - **Last confirmed live:** 2026-09-06 - **Apply:** https://job-boards.greenhouse.io/latitude/jobs/8055165 ## 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 Onboard Platforms team is an embedded software team responsible for the development and maintenance of the operating system, on-vehicle network, timesync, vehicle interface, and security for the L1/L2/L3 autonomous vehicle compute clusters. What you’ll do: - Deliver safe and efficient embedded software for state-of-the-art sensing systems - Produce high-quality, maintainable code using C++ - Design and optimize in-vehicle networks to communicate with the sensors and provide the common timebase for the autonomy software - Design, implement, and test full-stack software running in resource-constrained environments - Work closely with a multidisciplinary team of hardware, software and system engineers to ensure the success of our product 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 experience developing embedded applications and systems using C++ - Proficient in network communication concepts including protocols, physical layer requirements, bandwidth characteristics, and configuration - Knowledge of TCP/IP, Ethernet, CAN, and experience working with Marvell/Broadcom (or similar automotive-grade) Ethernet switches, including low-level configuration, firmware interaction, and troubleshooting hardware-software interface issues - Strong software design, algorithm, problem-solving, and analytical skills - Strong test-first design mindset - Experience with multi-processor SoCs or similar embedded processors - Experience with time synchronization, IEEE802.1AS, and Linux PTP is preferred - Prefer candidates with experience developing software for highly complex, safety-critical sensing systems with specific emphasis on network design for fault detection, and time synchronization for safety-critical data paths Nice to have: - Strong modern C++ skills - Understanding of networking and time-sensitve networking - Experience developing Linux device drivers for Ethernet, GPU, PCIE or flash devices like UFS, eMMC, NVMe - Experience with Yocto/OpenEmbedded, buildroot, or similar Linux packaging technologies - Track record of technical leadership in automotive or related fields taking products to production 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 - 15 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 $179,200 - $268,800 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. ## #LI-CG1 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. 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