Senior Software Engineer, Embedded Networking
Latitude AI · On-site
MeritLog read this listing from Latitude AI's Greenhouse job board and last checked it on September 10, 2026.
Source: the employer's Greenhouse job board. Open the original listing for current details.
Job details
- Work model
- On-site
- Salary
- $179,200 – $268,800
- Location
- Detroit, MI, Pittsburgh, PA
- Occupation
- Software Developers(O*NET 15-1252.00)
Hiring context
How this role compares at Latitude AI
Latitude AI has 45 live roles in MeritLog’s catalog across 5 job families, and 21 of them are in engineering. 8 of those listings publish a pay range, a disclosure rate of 18%.
Latitude AI concentrates this hiring in:
Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.
What the role asks for
What you'd 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
- 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
What they're asking for
- Strong modern C++ skillsSkillPreferred
- Understanding of networking and time-sensitve networkingSkillPreferred
- Experience developing Linux device drivers for Ethernet, GPU, PCIE or flash devices like UFS, eMMC, NVMeSkillPreferred
- Experience with Yocto/OpenEmbedded, buildroot, or similar Linux packaging technologiesSkillPreferred
- Track record of technical leadership in automotive or related fields taking products to productionSkillPreferred
Parsed by MeritLog from the employer’s own posting. The full description follows below.
Job description
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 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! 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.
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