Senior Software Architect Perception Systems

What you'll do

• Serve as the DRI for the end-to-end software architecture of the perception stack and its long-term technical direction.
• Design and build a real-time, graph-based dataflow runtime to schedule ML workloads across heterogeneous compute.
• Define system foundations including sensor time synchronization, calibration management, inter-process communication, and data logging.
• Architect privacy and security features to isolate sensitive sensor processing in secure execution environments.
• Partner with ML engineers to transition algorithms from prototype to production while balancing latency, accuracy, power, and memory.
• Build telemetry, tracing, profiling, and record/replay systems to measure performance and stability against real-world data.
• Drive cross-functional alignment with hardware, software, and platform teams on architecture, interfaces, and integration schedules.
• Set engineering standards through design reviews, mentorship, and clear communication of architectural tradeoffs to leadership.

What we're looking for

• BS or MS in Computer Science, Electrical Engineering, or equivalent experience.
• 10+ years of experience building production systems software in C/C++ and Swift.
• Deep knowledge of concurrency, scheduling, memory management, and IPC on a modern operating system.
• Track record of shipping latency-sensitive or real-time systems with measurable performance and reliability targets.
• Experience designing dataflow or algorithm-graph runtimes across heterogeneous compute.
• Experience designing telemetry, tracing, and profiling into systems to drive performance and stability.
• Working knowledge of classical perception and robotics, including sensor fusion, time synchronization, and SLAM/VIO.
• Experience deploying ML models into production runtimes, including quantization and scheduling.
• Demonstrated technical leadership across team and organizational boundaries.
• Experience partnering with program managers to break work into milestones and deliver against them.
• Clear written and verbal communication skills with engineers and leadership.
• Real-time Linux expertise or RTOS experience (preferred).
• Deep experience with Darwin/XNU internals, secure execution environments, or microkernel-based isolation (preferred).
• Experience shipping consumer hardware products at scale (preferred).
• Experience with robotics middleware, logging, and record/replay or simulation infrastructure (preferred).
• Experience building evaluation pipelines, regression testing, or data feedback loops for ML-driven systems (preferred).
• Familiarity with modern learned perception, multimodal models, or agentic AI workflows (preferred).