Staff Platform Software Engineer

📋 Job Overview

Point One Navigation is on a mission to bridge the digital and physical worlds through precision location. Our RTK Corrections Network and FusionEngine™ software deliver centimeter-level accuracy and high-confidence positioning for vehicles, robots, drones, and devices across industries. We're API-first, developer-focused, and pushing the boundaries of autonomy and automation.

🏢 About Point One Navigation

Point One Navigation is on a mission to bridge the digital and physical worlds through precision location. Our RTK Corrections Network and FusionEngine™ software deliver centimeter-level accuracy and high-confidence positioning for vehicles, robots, drones, and devices across industries. We're API-first, developer-focused, and pushing the boundaries of autonomy and automation.

🎯 The Role

Point One's FusionEngine is the heart of our navigation products — powerful and precise, flexible across sensor types and models, and scalable from large Linux systems down to real-time, bare-metal devices. Our team owns all of it: the core engine, the low-level platform support code beneath it, our cloud and local regression/HITL testing systems, and the in-vehicle and test-rig hardware integration that keeps them running.

✅ Key Responsibilities

• Own Software Architecture and Design
• Turn high-level goals into concrete designs: architecture, module boundaries, clean APIs, test plans, schedules.
• Drive designs end-to-end with minimal hand-holding once approach is agreed on.
• Make sound tradeoffs under real-world constraints — timing, reliability, maintainability, schedule.
• Raise the bar on other engineers' designs and code.
• Build Platform Infrastructure and Tooling
• Design and evolve core platform services — messaging/transport frameworks, profiling and observability tooling, debugging and crash-analysis infrastructure, build/toolchain systems — with abstractions that scale from embedded to Linux.
• Add support for new sensors, and diagnose and mitigate issues with sensors and other real-time hardware.
• Generalize and improve existing application and platform infrastructure — for example, abstracting components so pieces can be reused on embedded targets without pulling in \"big platform\" assumptions (filesystem access, large memory footprint, etc.) that don't fit them.
• Extend and maintain existing platform infrastructure, and design new infrastructure as the platform's needs grow.
• Make infrastructure decisions that hold up across a growing set of hardware targets and deployment environments.
• Build and Debug Real-Time Systems
• Install, wire, and manage hardware in vehicles and HITL test rigs; debug it when it breaks (gdb, JTAG, logic analyzers, oscilloscopes as needed).
• Strengthen Testing, HITL, and Post-Processing Infrastructure
• Help design and maintain regression testing, HITL testing, and post-processing systems — locally managed, on remote-managed hardware, or in the cloud.
• Treat test coverage and infrastructure reliability as first-class engineering responsibilities.

📌 Required Qualifications

• 10+ years of professional software development, including real ownership of architecture for a significant system or product area.
• Demonstrated ability to turn ambiguous goals into solid designs — architecture, APIs, test plans, schedules — and deliver against them with minimal oversight.
• Expert-level modern C++ (C++20 or later), with experience across more than one kind of platform (e.g., embedded + Linux, or device + server).
• Experience deploying cross-domain systems — integrating hardware and software into a working, reliable product, not just writing code for hardware someone else already brought up and deployed.
• Comfortable getting hands-on with real-time or hardware-adjacent debugging, even if not your primary specialty.
• Demonstrate responsible use of modern AI tooling to improve speed and thoroughness, while maintaining the quality of the code and product.
• Strong Python experience for tooling, automation, and scripting.
• Experience designing and owning test/verification strategy for complex systems.
• BS/MS/PhD in Computer Engineering, Electrical Engineering, Computer Science, or equivalent experience.

⭐ Desirable Experience

• Deep embedded experience: board bring-up, driver development, RTOSes, bare-metal, UART/SPI/I2C/CAN.
• Experience building platform tooling: profiling/observability systems, crash/debugging tooling, cross-compiler toolchains.
• Experience with GNSS, inertial navigation, computer vision, LIDAR, sensor fusion, estimation, or robotics — enough to work directly in that code and with the R&D team, with an eagerness to grow into algorithm design over time.
• Experience with scalable test or data infrastructure, whether cloud-based, on-prem, or remote-managed hardware.
• Safety-critical or highly-available systems background (automotive, robotics, aerospace)

🎁 Benefits

Compensation: $230K – $265.8K • Offers Equity

🛂 Visa & Eligibility