We're on a mission to better everyday life through robotics. 

Our custom electric autonomous vehicles are designed to bring the things you need—from produce to prescriptions—right to your home. Nuro’s autonomous delivery can give you valuable time back and more freedom to do what you love. This convenient, eco-friendly, safe alternative to driving can make streets safer and cities more livable. Nuro has brought autonomous delivery to local communities in Texas, Arizona, and California—for less driving and more thriving.

nuro

Who We Are&nbsp; Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale, empowering a safer, richer, and more connected future. About the Team We empower engineers to build the future of transportation by transforming how software is developed, tested, and operated using Generative AI and agentic systems. Our team builds the AI infrastructure that enables autonomous coding agents, intelligent assistants, and autoresearch systems across the engineering lifecycle — from code generation and CI/CD to debugging, knowledge discovery, and ML model improvement. We sit at the intersection of engineering productivity and ML advancement, building platforms and self-improving systems that accelerate both. About the Role As a Software Engineer in GenAI Infrastructure &amp; Agent Systems, you will design and build platforms that significantly improve developer productivity and ML research velocity. This role spans: Agent infrastructure (harnesses, sandboxes, plugin frameworks, MCP integrations) enabling reliable, production-grade AI agents Autoresearch systems that run experiments, evaluate results, and propose improvements to core ML models You’ll work across the stack — from cloud infrastructure and isolation to agent memory, evaluation frameworks, and developer-facing tools. About the Work Build AI agent infrastructure Design agent orchestration, sandboxing, and isolation systems Develop skill/plugin frameworks and integrate internal tools (e.g., CI/CD, code, observability systems) Scale compute infrastructure for agent workloads (GCP, Kubernetes) Develop autoresearch systems Build self-improving agents that run experiments, analyze results, and iterate Implement memory, feedback loops, and long-horizon reasoning Integrate with ML training, evaluation, and data pipelines Create AI-powered engineering tools Build assistants for support, triage, and workflow automation Develop tools for code generation, debugging, testing, and PR review Detect and resolve performance and reliability issues automatically Improve quality and developer workflows Design evaluation and observability systems for agent performance Integrate agents into CI/CD for testing, failure attribution, and remediation Build knowledge systems for search, retrieval, and reuse About You 4+ years of industry experience; BS/MS in Computer Science or equivalent practical experience Strong programming skills in Python, C++, or Go, with experience building scalable, reliable systems Solid background in cloud infrastructure (GCP/AWS), Kubernetes, CI/CD, and developer tooling Passion for building production-grade AI agent systems and improving engineering efficiency through automation Interest in autonomous, self-improving systems and ML-driven workflows Strong systems thinking across infrastructure, memory, and tooling, with ability to work end-to-end Preferred: Experience with LLM/agent systems in production (tool use, orchestration, sandboxing) Familiarity with autonomous agent patterns (memory, reflection, planning) Experience with MCP, plugin/skill frameworks, or similar architectures Background in ML infrastructure (training pipelines, evaluation, experimentation) Experience in DevEx/platform engineering, observability, or security isolation patterns At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $160,360 and $240,540 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package. At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics. #LI-DNP

Senior Software Engineer – GenAI Infrastructure & Agent Systems for Engineering Efficiency

About the Role We are a team of high-output generalists where ML and systems engineering converge to push autonomy performance forward. As a Senior Perception ML Data Infrastructure Engineer, you will own the critical bridge between our autonomous vehicle hardware, our human labeling operations, and our ML models. You will take ownership of our core native perception data platform. This is not a standard web development role; the stack is deeply adjacent to our core robotics infrastructure. You will be dealing with massive, dense 3D point clouds at a scale that pushes the boundaries of industry state-of-the-art, alongside complex sensor parsing, pipeline propagation, and rigid performance constraints. You will operate in highly ambiguous environments, inheriting complex systems, establishing strict API boundaries, and building the "good enough, fast enough" infrastructure that guarantees our ML models learn from high-quality data. Design and advance systems that: Render and manipulate massive, multi-modal sensor datasets (Lidar, Camera, Radar) efficiently in UI environments. Parse raw sensor data and manage complex data pipeline propagation between onboard hardware logs and offboard visualization. Enforce strict data validation and annotation constraints to prevent upstream labeling errors from polluting downstream ML pipelines. Create seamless, resilient API boundaries between our ML data pipelines and our Ground Truth/Data Platform infrastructure. Tailor Your Impact: The Critical Path Owner: You will step into a complex, evolving ecosystem, quickly bring order to ambiguity, unblock critical operational bottlenecks, and architect sustainable long-term solutions that empower the entire Autonomy organization. High-Velocity Impact: You optimize the engineering lifecycle for autonomy progress. You know the exact trade-off between over-engineering a system and deploying a highly performant, pragmatic integration that keeps our data pipelines flowing. About the work You’ll solve autonomy’s hardest data bottlenecks through systems rigor and infrastructure excellence: Architect Core Data Platforms: Take formal technical ownership of our native, C++ based perception data visualization and annotation platforms. Optimize 3D Rendering &amp; Robotics Data: Solve deep performance bottlenecks related to rendering next-generation, high-density Lidar point clouds and multi-camera projections in real-time. Defensive Engineering: Build robust data validation layers that catch sensor calibration errors, synchronization failures, and human labeling mistakes before they enter the ML training loop. Cross-Functional Leadership: Act as the technical bridge between ML, Data and Infrastructure engineers, and labeling operations. About You BS/MS in Computer Science, Software Engineering, Robotics, or a related quantitative field. Experience: 4+ years of industry software engineering experience.&nbsp; Language Fluency. Fluency in C++ and strong familiarity with Python are non-negotiable. Ambiguity Navigator: Proven ability to lead cross-functional technical projects, bring order to complex codebases, and drive them to completion in ambiguous settings. Systems Thinker: You possess deep practical experience in building robust, high-performance software systems or infrastructure. You care more about shipping integrated, impactful solutions than theoretical experimentation. (Bonus) Robotics Expertise: Deep familiarity with robotics software stacks, sensor parsing, coordinate frames, and pipeline propagation. (Bonus) Familiarity with 3D graphics/rendering (WebGL, OpenGL), point cloud processing, or autonomous driving sensor data. At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $193,930.00 and $291,150.00/year for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package. At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics. #LI-DNP

Sr. Software Engineer, Perception Data Infrastructure

Who We Are&nbsp; Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale—empowering a safer, richer, and more connected future. About the Role Nuro is seeking a Software Engineer with expertise in large-scale infrastructure, workload orchestration, and data processing to join our ML Infrastructure team. In this role, you will focus on building and evolving the core platform that provides researchers and engineers with seamless access to compute and data resources. You will be responsible for executing the technical strategy for automated resource provisioning, high-performance workload scheduling, and efficient feature management to accelerate the Nuro Driver™ development lifecycle. About the Work You will build the foundation that powers Nuro’s model development from experimentation to production. Key responsibilities include: Resource Provisioning &amp; IaC: Scaling automated infrastructure-as-code (IaC) pipelines to manage thousands of GPU/CPU nodes across diverse environments. Intelligent Scheduling: Designing and optimizing workload orchestration to maximize hardware utilization, minimize job wait times, and handle massive-scale distributed training. Data &amp; ETL: Designing robust pipelines for the extraction and transformation of petabyte-scale sensor and telemetry data into ML-ready formats. Feature Management: Implementing robust feature caching and storage solutions to reduce redundant computations and ensure low-latency access to pre-computed features. Platform Abstraction: Contributing to a unified ML platform that abstracts complex cloud infrastructure for end-users. About You Experience: 5+ years of professional experience in ML Infrastructure, Backend Platform Engineering, or Distributed Systems. Resource Provisioning: Deep familiarity with modern Infrastructure-as-Code and provisioning tools such as Terraform, Pulumi, or Crossplane. Workload Scheduling: Hands-on experience building or managing large-scale orchestrators for compute-heavy workloads (e.g., Kubernetes, KubeRay, Ray, Slurm, or Volcano). Distributed Data Processing: Proficiency in at least one distributed processing framework, such as Apache Spark or Apache Beam, for large-scale data extraction and transformation. Feature Management: Experience implementing or maintaining feature stores and caching layers (e.g., Feast, Hopsworks, or Redis-based custom caching). Systems Design: A strong understanding of distributed systems, networking, and storage bottlenecks in the context of high-performance computing. Bonus Points Active contributor to open-source projects in the MLOps or Cloud-Native ecosystem (e.g., CNCF, Ray, or Kubeflow communities). Experience with high-performance storage systems (e.g., Lustre, Ceph, or specialized NVMe caching) for ML data loading. Knowledge of cost-optimization strategies for large-scale GPU clusters in public clouds (AWS, GCP, or Azure). At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $193,930 and $291,150 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package. At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics. #li-dnp

Senior Software Engineer, ML Platform Infrastructure

Who We Are&nbsp; Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale, empowering a safer, richer, and more connected future. About the Role Nuro leverages many different bench-top systems to evaluate and regression test different aspects of the software and hardware integration layer. This performance simulation platform includes systems&nbsp; At Nuro, every autonomy code change, from ML model updates to radius of map around the robot to number of evaluated trajectories, must be validated for real-time performance on actual robot compute hardware before it reaches the road. You will own the infrastructure that makes this possible. Our Performance Simulation Platform is a hybrid benchmarking system: physical bench-top rigs running production robot compute (NVIDIA Thor platform), orchestrated by cloud-native infrastructure (Kubernetes, GCP), automated data pipelines feeding performance metrics into BigQuery and Grafana, pre/post simulation magic, custom tracing and profiling tools, and much much more. Engineers across the company rely on this platform daily to answer questions like: How will my new ML model affect contention on the GPU? How does a new data format impact onboard logging rate or network contention as more data might be flowing from through the system? How much memory should be allocated for this new module, and how does it fit into the overall system budget? You'll be responsible for development, integration, and the evolution of this platform — from the bare-metal OS and networking layer through the job orchestration and CI/CD integration up to the data analysis and visualization layer. This is a high-ownership, high-autonomy role on a small team where your work directly gates the release velocity of the entire autonomy stack. You'll be the technical DRI for the platform — setting the roadmap, making architectural calls, representing the platform's needs to the leadership team, and ensuring the system scales through multiple hardware generations. About the Work Benchmarking Infrastructure: Develop and maintain the job orchestration layer that schedules, executes, and validates autonomy performance benchmarks across a fleet of physical bench-top systems — integrated into CI/CD pipelines as merge-blocking and release-blocking quality gates. Platform Reliability &amp; Observability: Build monitoring, alerting, and self-healing automation for the bench fleet. Proactively identify systemic risks — capacity bottlenecks, hardware degradation patterns, infrastructure single points of failure — before they become outages. Track utilization, failure rates, and capacity trends to ensure the platform scales ahead of organizational demand. Performance Data Pipelines: Design and build end-to-end data pipelines that capture fine-grained performance metrics (CPU/GPU utilization, memory bandwidth, E2E latency, scheduling jitter) from bench-top runs, process them at scale, and surface actionable insights through dashboards and automated regression detection. Statistical Analysis &amp; Experimentation: Work with Data Science to develop rigorous experimentation methodology for performance results from non-deterministic autonomy workloads — including variance analysis, significance testing, and regression detection.Bare-Metal &amp; OS Platform: Guide the SRE team through the OS and system-level configuration of bench hardware — including Linux kernel tuning, boot infrastructure, networking, and hardware bring-up — ensuring the platform faithfully reproduces production robot compute behavior. Drive Platform &amp; Allocation Strategy: Own the planning lifecycle for the benchmarking fleet across hardware generations. Partner with engineering and program leadership to negotiate hardware allocation, model utilization scenarios under real-world constraints, and present data-backed trade-off recommendations — balancing testing coverage, user throughput, cost, and SLA commitments against finite physical resources. Cross-Functional Collaboration: Partner with Hardware Engineering, NPI (New Product Introduction), SRE (Site Reliability Engineering), Perception, Behavior, and Data Science teams to translate their performance analysis needs into robust, self-service infrastructure.&nbsp; About You Experience: 5+ years of industry software engineering experience.&nbsp; Software Engineering: Strong proficiency in Python and working proficiency in C++. You write clean, testable, well-documented code and care about long-term maintainability. Data Engineering: Experience building data pipelines, ingestion, transformation, storage, and visualization. Familiarity with SQL and analytical workflows. Systems &amp; Infrastructure: Deep comfort with Linux systems — you've configured kernels, debugged boot issues, written systemd units, or managed bare-metal infrastructure. You understand networking, storage, and compute at a level beyond "it just works." Technical Leadership: Experience setting technical vision and roadmap for a project or platform, driving alignment across multiple stakeholders. You've independently identified the cross-functional partners needed to unblock and deliver, and you've briefed senior engineering leadership on trade-offs and recommendations. AI-Native: You treat AI as a core part of your engineering workflow, not an occasional shortcut — you use agentic tooling (e.g., Claude Code) across the development lifecycle and you understand the boundaries of when AI output demands extra scrutiny versus when it accelerates you. Bias for Action: Comfortable operating in ambiguous, fast-moving environments where you need to balance long-term architecture with short-term delivery. Bonus Points: Experience with performance engineering, especially around tooling integration (perf, Perfetto, pprof, eBPF, NVIDIA Nsight Systems, NVIDIA CUPTI). Experience in robotics or AV, particularly with NVIDIA DriveOS stack. At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $183,000 and $275,000 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package. At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.

Senior Software Engineer, Performance Tooling and Infrastructure

Who We Are&nbsp; Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale—empowering a safer, richer, and more connected future. About the Role Nuro is seeking a Software Engineer with expertise in large-scale infrastructure, workload orchestration, and data processing to join our ML Infrastructure team. In this role, you will focus on building and evolving the core platform that provides researchers and engineers with seamless access to compute and data resources. You will be responsible for executing the technical strategy for automated resource provisioning, high-performance workload scheduling, and efficient feature management to accelerate the Nuro Driver™ development lifecycle. About the Work You will build the foundation that powers Nuro’s model development from experimentation to production. Key responsibilities include: Resource Provisioning &amp; IaC: Scaling automated infrastructure-as-code (IaC) pipelines to manage thousands of GPU/CPU nodes across diverse environments. Intelligent Scheduling: Designing and optimizing workload orchestration to maximize hardware utilization, minimize job wait times, and handle massive-scale distributed training. Data &amp; ETL: Designing robust pipelines for the extraction and transformation of petabyte-scale sensor and telemetry data into ML-ready formats. Feature Management: Implementing robust feature caching and storage solutions to reduce redundant computations and ensure low-latency access to pre-computed features. Platform Abstraction: Contributing to a unified ML platform that abstracts complex cloud infrastructure for end-users. About You Experience: 3+ years of professional experience in ML Infrastructure, Backend Platform Engineering, or Distributed Systems. Resource Provisioning: Deep familiarity with modern Infrastructure-as-Code and provisioning tools such as Terraform, Pulumi, or Crossplane. Workload Scheduling: Hands-on experience building or managing large-scale orchestrators for compute-heavy workloads (e.g., Kubernetes, KubeRay, Ray, Slurm, or Volcano). Distributed Data Processing: Proficiency in at least one distributed processing framework, such as Apache Spark or Apache Beam, for large-scale data extraction and transformation. Feature Management: Experience implementing or maintaining feature stores and caching layers (e.g., Feast, Hopsworks, or Redis-based custom caching). Systems Design: A strong understanding of distributed systems, networking, and storage bottlenecks in the context of high-performance computing. Bonus Points Active contributor to open-source projects in the MLOps or Cloud-Native ecosystem (e.g., CNCF, Ray, or Kubeflow communities). Experience with high-performance storage systems (e.g., Lustre, Ceph, or specialized NVMe caching) for ML data loading. Knowledge of cost-optimization strategies for large-scale GPU clusters in public clouds (AWS, GCP, or Azure). At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $160,360 and $240,540 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package. At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.

Software Engineer, ML Platform Infrastructure

Who We Are&nbsp; Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale, empowering a safer, richer, and more connected future. About the Role Nuro leverages many different bench-top systems to evaluate and regression test different aspects of the software and hardware integration layer. This performance simulation platform includes systems&nbsp; At Nuro, every autonomy code change, from ML model updates to radius of map around the robot to number of evaluated trajectories, must be validated for real-time performance on actual robot compute hardware before it reaches the road. You will own the infrastructure that makes this possible. Our Performance Simulation Platform is a hybrid benchmarking system: physical bench-top rigs running production robot compute (NVIDIA Thor platform), orchestrated by cloud-native infrastructure (Kubernetes, GCP), automated data pipelines feeding performance metrics into BigQuery and Grafana, pre/post simulation magic, custom tracing and profiling tools, and much much more. Engineers across the company rely on this platform daily to answer questions like: How will my new ML model affect contention on the GPU? How does a new data format impact onboard logging rate or network contention as more data might be flowing from through the system? How much memory should be allocated for this new module, and how does it fit into the overall system budget? You'll be responsible for development, integration, and the evolution of this platform — from the bare-metal OS and networking layer through the job orchestration and CI/CD integration up to the data analysis and visualization layer. This is a high-ownership, high-autonomy role on a small team where your work directly gates the release velocity of the entire autonomy stack. You'll be the technical DRI for the platform — setting the roadmap, making architectural calls, representing the platform's needs to the leadership team, and ensuring the system scales through multiple hardware generations. About the Work Benchmarking Infrastructure: Develop and maintain the job orchestration layer that schedules, executes, and validates autonomy performance benchmarks across a fleet of physical bench-top systems — integrated into CI/CD pipelines as merge-blocking and release-blocking quality gates. Platform Reliability &amp; Observability: Build monitoring, alerting, and self-healing automation for the bench fleet. Proactively identify systemic risks — capacity bottlenecks, hardware degradation patterns, infrastructure single points of failure — before they become outages. Track utilization, failure rates, and capacity trends to ensure the platform scales ahead of organizational demand. Performance Data Pipelines: Design and build end-to-end data pipelines that capture fine-grained performance metrics (CPU/GPU utilization, memory bandwidth, E2E latency, scheduling jitter) from bench-top runs, process them at scale, and surface actionable insights through dashboards and automated regression detection. Statistical Analysis &amp; Experimentation: Work with Data Science to develop rigorous experimentation methodology for performance results from non-deterministic autonomy workloads — including variance analysis, significance testing, and regression detection.Bare-Metal &amp; OS Platform: Guide the SRE team through the OS and system-level configuration of bench hardware — including Linux kernel tuning, boot infrastructure, networking, and hardware bring-up — ensuring the platform faithfully reproduces production robot compute behavior. Drive Platform &amp; Allocation Strategy: Own the planning lifecycle for the benchmarking fleet across hardware generations. Partner with engineering and program leadership to negotiate hardware allocation, model utilization scenarios under real-world constraints, and present data-backed trade-off recommendations — balancing testing coverage, user throughput, cost, and SLA commitments against finite physical resources. Cross-Functional Collaboration: Partner with Hardware Engineering, NPI (New Product Introduction), SRE (Site Reliability Engineering), Perception, Behavior, and Data Science teams to translate their performance analysis needs into robust, self-service infrastructure.&nbsp; About You Experience: 3+ years of industry software engineering experience.&nbsp; Software Engineering: Strong proficiency in Python and working proficiency in C++. You write clean, testable, well-documented code and care about long-term maintainability. Data Engineering: Experience building data pipelines, ingestion, transformation, storage, and visualization. Familiarity with SQL and analytical workflows. Systems &amp; Infrastructure: Deep comfort with Linux systems — you've configured kernels, debugged boot issues, written systemd units, or managed bare-metal infrastructure. You understand networking, storage, and compute at a level beyond "it just works." Technical Leadership: Experience setting technical vision and roadmap for a project or platform, driving alignment across multiple stakeholders. You've independently identified the cross-functional partners needed to unblock and deliver, and you've briefed senior engineering leadership on trade-offs and recommendations. AI-Native: You treat AI as a core part of your engineering workflow, not an occasional shortcut — you use agentic tooling (e.g., Claude Code) across the development lifecycle and you understand the boundaries of when AI output demands extra scrutiny versus when it accelerates you. Bias for Action: Comfortable operating in ambiguous, fast-moving environments where you need to balance long-term architecture with short-term delivery. Bonus Points: Experience with performance engineering, especially around tooling integration (perf, Perfetto, pprof, eBPF, NVIDIA Nsight Systems, NVIDIA CUPTI). Experience in robotics or AV, particularly with NVIDIA DriveOS stack. At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $152,000 and $228,000 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package. At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics. #LI-DNP

Software Engineer, Performance Tooling and Infrastructure

Who We Are&nbsp; Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to enable everything from commercial fleets to personally owned vehicles. A key pillar of this strategy is Nuro’s partnership with Uber to power a robotaxis program on the Uber network. About the TeamWe are looking for self-motivated engineers to build the next-generation onboard infrastructure for autonomous driving. Our mission is to provide a high-performance, highly reliable foundation of the Nuro Driver™, spanning inter-process communication, logging, monitoring, execution and state management. We actively embrace AI-assisted development, leveraging feature development, root cause analysis, workflow automation to supercharge our velocity. You will collaborate closely with our Autonomy team, hardware teams, AI Platform team, and systems/safety team to make sure the whole autonomy stack works together safely and smoothly.&nbsp; About the Work Work on distributed systems inside the vehicle Develop high-performance communication between multiple nodes Develop logging infrastructure and data collection frameworks for massive volume autonomy and sensor data Develop frameworks to start, control, and monitor autonomous modules Collaborate with other software teams to build foundational libraries and interfaces, with emphasis on low-latency and high reliability Build data pipelines and diagnostics tools to improve the reliability and operational efficiency of onboard software Troubleshoot hard-to-reproduce system performance problems About You BS/MS/PhD in Computer Science&nbsp; 4+ years of Equivalent industry experience Strong system fundamentals and strong C++ skills Solid experience developing production-quality software in C++ and Python in areas like self-driving, robotics, embedded Linux system, telecommunication, and other technology industries. Deep understanding on Linux operating systems. Proven ability to diagnose and resolve complex system performance bottlenecks through analytical troubleshooting. Bonus Points Experience with ROS, Apollo Cyber RT, Iceoryx or other robotics frameworks Robotics experience, ML inference optimization experience, computer architecture experience Experience with GPU programming or NVidia Orin Platform At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $193,000 and $291,000 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package. At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics. #LI-CD1

Senior Software Engineer, Middleware

Who We Are&nbsp; Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to enable everything from commercial fleets to personally owned vehicles. A key pillar of this strategy is Nuro’s partnership with Uber to power a robotaxis program on the Uber network. About the TeamWe are looking for self-motivated engineers to build the next-generation onboard infrastructure for autonomous driving. Our mission is to provide a high-performance, highly reliable foundation of the Nuro Driver™, spanning inter-process communication, logging, monitoring, execution and state management. We actively embrace AI-assisted development, leveraging feature development, root cause analysis, workflow automation to supercharge our velocity. You will collaborate closely with our Autonomy team, hardware teams, AI Platform team, and systems/safety team to make sure the whole autonomy stack works together safely and smoothly.&nbsp; About the Work Work on distributed systems inside the vehicle Develop high-performance communication between multiple nodes Develop logging infrastructure and data collection frameworks for massive volume autonomy and sensor data Develop frameworks to start, control, and monitor autonomous modules Collaborate with other software teams to build foundational libraries and interfaces, with emphasis on low-latency and high reliability Build data pipelines and diagnostics tools to improve the reliability and operational efficiency of onboard software Troubleshoot hard-to-reproduce system performance problems About You BS/MS/PhD in Computer Science&nbsp; 2+ years of Equivalent industry experience Strong system fundamentals and strong C++ skills Solid experience developing production-quality software in C++ and Python in areas like self-driving, robotics, embedded Linux system, telecommunication, and other technology industries. Deep understanding on Linux operating systems. Proven ability to diagnose and resolve complex system performance bottlenecks through analytical troubleshooting. Bonus Points Experience with ROS, Apollo Cyber RT, Iceoryx or other robotics frameworks Robotics experience, ML inference optimization experience, computer architecture experience Experience with GPU programming or NVidia Orin Platform At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $160,000 and $240,000 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package. At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics. #LI-CD1

Software Engineer, Middleware

Software Engineer, Onboard Systems

Who We Are&nbsp; Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale, empowering a safer, richer, and more connected future. About the TeamThis role sits within Nuro’s Core Infrastructure team and partners deeply across every engineering organization — Autonomy, ML Platform, Simulation, Perception, Behavior, Mapping, BATES, and Release Engineering.Cloud is the substrate the entire company runs on. How efficiently we use it directly determines how many miles we can drive, how many models we can train, and how many scenarios we can validate per dollar. This is one of the highest-leverage engineering roles at Nuro: the systems, guardrails, and patterns you build will shape how thousands of jobs, pipelines, and services are designed and operated across the company. About the Work Own cloud efficiency end-to-end. Identify the highest-ROI opportunities across storage, compute, data, and ML infrastructure, and deliver systems that capture those gains as durable platform behavior, not one-off cleanups. Drive cost-aware system design. Partner with teams on architecture and design reviews to ensure new systems are efficient by default. Raise the bar for how engineers reason about storage, retention, data layout, query patterns, compute sizing, and reservation strategy. Optimize performance and efficiency at scale. Profile and tune large-scale workloads — BigQuery analytics, data pipelines, simulation storage, ML training, and GKE services — turning expensive, slow jobs into efficient, high-throughput systems. Build cost observability and attribution. Deliver real-time visibility, anomaly detection, and fine-grained attribution (SKU, bucket, workload, team) so issues are identified and resolved in hours, not weeks. Eliminate systemic waste. Automate lifecycle and tiering (autoclass, archive, scene-based retention), right-size compute, and continuously clean up underutilized or orphaned resources across the fleet. Drive cross-org optimization. Partner across engineering to land high-impact improvements (e.g., precision reduction, query tuning, data lifecycle strategies) and convert them into guardrails that prevent regression. Establish cost governance. Define and scale processes for budgeting, forecasting, cost reviews, and incident response as Nuro grows. Enable teams to build cost-efficient systems by default through tooling, standards, and education. About You Strong software engineering fundamentals in Python or Go, with experience building and operating production systems end-to-end. Experience with public cloud platforms (GCP preferred) including billing, IAM, and resource management. Experience with data warehouses (BigQuery, Snowflake, or similar), including query optimization at scale. Proven track record of delivering measurable improvements in performance, efficiency, or cost on production systems. Strong system design skills, with the ability to evaluate and influence tradeoffs across cost, performance, reliability, and developer experience. Ability to operate in ambiguous, cross-team environments and drive initiatives from problem definition to execution. Excellent communication skills, including presenting tradeoffs to both engineers and executive stakeholders. Bachelor’s degree in Computer Science, Electrical Engineering, or related field, or equivalent practical experience. Bonus Points&nbsp; Experience in FinOps, cloud cost engineering, or large-scale efficiency platforms. Deep expertise in GCP at scale (GCS, GKE, BigQuery, Compute Engine, reservations/CUDs, Cloud Monitoring). Experience with Terraform, Kubernetes, and infrastructure-as-code. Background in data infrastructure, ML systems, or large-scale batch processing. Experience building cost attribution, anomaly detection, or forecasting systems on top of cloud billing data. &nbsp; At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $160,360 and $240,540 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package. At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics. #LI-DNP

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