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Senior Software Engineering Manager - RTOS

Latitude AI · Pittsburgh, PA
Full-timeOnboard PlatformTechnology$179,000–$241,000/yr
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About the Senior Software Engineering Manager Rtos role

Senior Software Engineering Manager Rtos positions focus on delivering results in their domain. This page aggregates open Senior Software Engineering Manager Rtos roles and what employers typically expect.

Latitude AI ( lat.ai ) develops automated driving technologies, including L3, for Ford vehicles at scale. We’re driven by the opportunity to reimagine what it’s like to drive and make travel safer, less stressful, and more enjoyable for everyone. 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 making a real, positive impact on the driving experience for millions of people. 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 RTOS team builds and maintains the real-time operating system foundation that every safety-critical software component on the vehicle's compute platform depends on. This includes the core build system, memory protection configuration, fault and crash handling, and the abstractions that let application teams write portable, safe embedded code. The team is also defining the next generation of runtime APIs and primitives that give application developers safe, predictable ways to manage memory and meet strict timing guarantees, without compromising the isolation that keeps one component's failure from affecting another. This role also has close visibility into hardware safety work, including hardware monitors, diagnostics, firewalls, power management, and thermal management for the compute platform, ensuring software and hardware safety strategies stay tightly aligned. This work sits at the intersection of systems programming, safety engineering, and platform architecture, and directly enables every other team building software that runs on the vehicle's compute hardware. What you’ll do: Lead and grow a team of senior and staff embedded systems engineers responsible for the RTOS build, configuration, and runtime layer Set technical direction for scheduling policy, memory protection, fault handling, and multicore partitioning to meet real-time deadline and safety requirements Guide the design of new C++ runtime APIs and primitives that let application teams safely allocate and release memory and meet scheduling deadlines without violating isolation guarantees Help define core allocation strategy for the compute platform, determining which tasks and partitions should run on which cores based on timing, isolation, and safety requirements Own RTOS-level isolation across cores, including MPU configuration and privilege mode enforcement, while ensuring compatibility with hardware firewall protections owned by the hardware safety team Design cross-core synchronization primitives (e.g., locks, message passing) in collaboration with the runtime team when shared state is unavoidable, while driving toward architectures that minimize cross-core coordination overhead Work toward tooling that can determine multicore scheduling requirements systematically, replacing current manual scheduling analysis, with an eye toward eventual global, multi-core deadline guarantees Oversee the boot sequence, secure boot integration, and watchdog/fault escalation strategy for the compute platform, and provide input to the platform team on multicore boot sequencing and bring-up Partner with systems safety engineering to ensure the RTOS meets automotive functional safety requirements, including timing analysis and worst-case execution time guarantees Partner closely with the hardware safety team (hardware monitors, diagnostics, firewalls, power management, thermal management), with potential future organizational oversight as the team's structure evolves Work with silicon and platform partners to understand and work around multicore hardware quirks and core IP limitations Drive coding standards, static analysis, and debug/trace instrumentation practices…

Salary estimate

$179,000 – $241,000/yr
Provided by the employer.

Skills for this role

C++Machine Learning

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About Latitude AI

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