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Nuro

Builds self-driving systems for vehicle makers

Staff Software Engineer - Performance

Systems Software EngineeringPosted on Nov 10
Full-timeMountain View, CA, USAIn-person

About the Job

Requirements

  • A Master’s degree or PhD in Computer Science, Electrical Engineering, Computer Engineering, Robotics, or a related field is required.
  • At least 7 years of software engineering experience building production-quality systems software is required.
  • At least 3 years of technical leadership experience, including leading complex projects, setting technical direction, and driving cross-team alignment, is required.
  • Strong proficiency in modern C++, including concurrency, multithreading, debugging, memory management, and performance optimization, is required.
  • Experience building reliable, high-performance software for robotics, embedded systems, autonomous systems, distributed systems, or other performance-critical platforms is required.
  • Strong systems-level expertise is required, including reasoning across operating systems, device interfaces, runtime frameworks, and application-level workloads.
  • Ability to diagnose complex performance, reliability, concurrency, and hardware/software integration issues is required.
  • Ability to translate ambiguous requirements into scalable architecture and mentor engineers through design and execution is required.
  • Technical communication and stakeholder-management skills are required, including the ability to influence senior technical leadership, cross-functional partners, and external vendors on high-impact architectural decisions.

Responsibilities

  • Define and drive technical direction for onboard infrastructure across Device Platform, Performance, and Onboard Systems.
  • Architect core onboard systems for embedded compute, sensor integration, runtime frameworks, inter-device communication, and distributed execution across current and future vehicle platforms.
  • Lead system-level performance and reliability efforts, including latency reduction, resource efficiency, memory management, thread and process lifecycle management, observability, automated testing, and continuous validation.
  • Build foundational libraries, APIs, tools, and frameworks that enable autonomy and infrastructure teams to develop reliable, low-latency, high-performance software.
  • Develop onboard distributed systems, including high-performance communication between compute nodes, module orchestration, monitoring, logging, diagnostics, and large-scale autonomy and sensor data pipelines.
  • Diagnose complex, hard-to-reproduce failures across software, hardware, sensors, compute, networking, and autonomy workloads; drive root cause analysis, mitigation, and long-term prevention.
  • Partner with autonomy, hardware, safety, validation, operations, and suppliers to define requirements, evaluate and integrate next-generation platforms, and ensure safe, reliable deployment.
  • Translate ambiguous product, safety, and autonomy needs into scalable technical architecture; align teams on design direction, execution plans, interfaces, and long-term platform strategy.
  • Mentor engineers, establish engineering best practices, and raise the technical bar across Onboard Infrastructure and partner teams.

Desired Qualifications

  • Experience with robotics hardware, sensors, embedded compute platforms, or autonomous vehicle systems.
  • Knowledge of Linux, device drivers, computer architecture, kernel behavior, and communication protocols such as Ethernet, PCIe, USB, SPI, I2C, or UART.
  • Experience with high-performance communication, inter-process communication, networking stacks, logging, monitoring, diagnostics, or data collection systems.
  • Experience with GPU programming, NVIDIA platforms, CUDA, image processing, machine learning infrastructure, or accelerated compute.
  • Experience working with hardware suppliers or integrating next-generation sensor and compute platforms.

About the Company

Nuro

Builds self-driving systems for vehicle makers

Nuro builds and licenses self-driving technology to automakers and mobility companies for robotaxis, commercial fleets and personal vehicles. Its Nuro Driver combines AI software with vehicle sensors and computing hardware, so partners integrate an autonomous driving system into their own vehicles. The software interprets road conditions and controls movement, while the Nuro Toolkit supplies tools for simulation, testing and fleet monitoring. Nuro earns money by licensing its technology, drawing on experience from autonomous delivery vehicles rather than operating only a goods-delivery service. It was founded in 2016 and has its headquarters in Mountain View, California.

Company size
501-1,000
Company stage
Series E
Total funding
$2.3B
Headquarters
Mountain View, CA
Founded
2016

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