5 months ago
Base Salary
$235k - $352k/yr
Responsibilities
- Define and drive technical direction for onboard infrastructure across Device Platform, Performance, and Onboard Systems.
- Architect embedded-compute systems, sensor integration, runtime frameworks, inter-device communication, and distributed execution across vehicle platforms.
- Lead performance and reliability efforts involving latency, resource efficiency, memory, thread and process lifecycles, observability, automated testing, and continuous validation.
- Build foundational libraries, APIs, tools, and frameworks for reliable, low-latency, high-performance autonomy software.
- Develop distributed onboard systems for communication between compute nodes, module orchestration, monitoring, logging, diagnostics, and autonomy and sensor data pipelines.
- Diagnose difficult failures across software, hardware, sensors, compute, networking, and autonomy workloads, and drive root-cause resolution and prevention.
- Partner with autonomy, hardware, safety, validation, operations, and supplier-facing teams to integrate next-generation platforms and ensure safe, reliable deployment.
- Translate product, safety, and autonomy needs into scalable architecture, execution plans, interfaces, and long-term platform strategy.
- Mentor engineers, establish engineering best practices, and raise technical standards across partner teams.
Requirements
- Master’s degree or PhD in Computer Science, Electrical Engineering, Computer Engineering, Robotics, or a related field.
- 8+ years of software engineering experience building production-quality systems software.
- 5+ years of technical leadership experience involving complex projects, technical direction, and cross-team alignment.
- Strong proficiency in modern C++ with experience in concurrency, multithreading, debugging, memory management, and performance optimization.
- Experience building reliable, high-performance software for robotics, embedded systems, autonomous systems, distributed systems, or other performance-critical platforms.
- Strong systems-level expertise across operating systems, device interfaces, runtime frameworks, and application-level workloads.
- Ability to diagnose complex performance, reliability, concurrency, and hardware/software integration issues.
- Ability to translate ambiguous requirements into scalable architecture and mentor engineers through design and execution.
- Experience with robotics hardware, sensors, embedded compute platforms, or autonomous vehicle systems is a bonus.
- Knowledge of Linux, device drivers, computer architecture, kernel behavior, and communication protocols such as Ethernet, PCIe, USB, SPI, I2C, or UART is a bonus.
- Experience with high-performance communication, IPC, networking stacks, logging, monitoring, diagnostics, or data collection systems is a bonus.
- Experience with GPU programming, NVIDIA platforms, CUDA, image processing, machine learning infrastructure, or accelerated compute is a bonus.
- Experience working with hardware suppliers or integrating next-generation sensor and compute platforms is a bonus.
Benefits
- Annual performance bonus, equity, and a competitive benefits package.
- The role is based on the stated compensation scope and may have a different pay range if considered for another level.
- Nuro is committed to an inclusive and psychologically safe workplace.
About Nuro
Nuro builds the Nuro Driver, a Level 4 self-driving platform for robotaxis, commercial fleets, and personally owned vehicles. It licenses its autonomy software and integrates it with automotive-grade hardware for automakers and mobility platforms. Founded in 2016 and headquartered in Mountain View, California, Nuro is privately held and has operated real-world self-driving deployments.