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 Role We are looking for a Senior/Staff Software Engineer to serve as a technical leader for Nuro’s ML Data engine. You will sit at the critical intersection of Autonomy, Machine Learning, and Infrastructure, acting as an architect for the systems that feed our autonomy AI models. In this role you will be a member of the Autonomy team responsible for executing the technical strategy for transforming massive amounts of autonomy data into high-value training signals for autonomy decision making.&nbsp; You will design and build data products for autonomy researchers, develop queries for rare "needle-in-a-haystack" scenarios, and trigger labeling and data ingestion workflows without human intervention.&nbsp; You will partner directly with Autonomy ML researchers to understand their data needs, collaborate with infrastructure teams to define the right data interfaces and APIs, and build robust data selection, simulation, and introspection tools that can process data at scale. If you love solving challenging new problems with a mindset of deriving practical solutions to be used in the physical world, come join us About the Work Data Pipeline Architecture: Design and build scalable data ingestion and processing pipelines that turn data streams into targeted training datasets. Lead initiatives to improve data quality, detect anomalies, and manage out-of-distribution examples to ensure robust model training and deployment. Cross Functional Leadership: Work across autonomy teams and data infra teams to build effective ML data pipelines and products for ML engineers. ML Tooling &amp; Introspection: Develop infrastructure and visualization tools that allow ML researchers to easily introspect data, identify model failure modes, query for new data samples, and understand data distribution shifts. Labeling Operations Integration: Collaborate closely with the data operations team to define quality standards, automate quality control (QC), and streamline the feedback loop between model performance and annotation guidelines. Active Learning &amp; Data Mining Engines: Lead the engineering effort to operationalize research-grade active learning methods. E.g. build systems that compute embeddings or run inference at scale, manage vector databases, and automatically sample the most informative data points for labeling. About You Required Qualifications 7+ years of experience with a proven track record of technical leadership architecting and delivering complex, multi-system ML data engineering data systems. Education: B.S./M.S. in Computer Science, Artificial Intelligence, Electrical Engineering, Robotics, or equivalent practical experience. Understanding of end-to-end ML data pipelines and their interaction with model training and evaluation. Strong proficiency in C++ and Python, with petabyte-level data management experience. Experience taking data concepts (e.g., "uncertainty sampling") and turning them into stable, 24/7 production services. Preferred Qualifications: Prior experience working in large companies with productionized AI systems working on data engines for large scale machine learning. Experience in workflow orchestration, introspection UI/UX for data understanding, and ML frameworks for foundation model training. Expertise in data-centric AI topics (active learning, pre-training) and their application in autonomous systems. You have subject matter expertise and research in one or more of the following areas: Machine Learning, Deep Learning, Robotics , and have some familiarity with the state of the art in ML for autonomous driving and data utilization. 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 $352,290 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/Staff Software Engineer, ML Data

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 On the Autonomy Visualization team, your top priority will be developing high-quality visualization platforms. These platforms will allow any software engineer to add new viz elements. Additionally, you’ll also have the opportunity to work end-to-end on viz features and products, exercising both your technical skills, product sense, and cross-functional communication. About the Work As an Autonomy Visualization Software Engineer, you’ll build business-critical tools that accelerate the development of Nuro’s autonomous driving technology. Build performant visualization frameworks in both C++ / OpenGL and Unity to serve multiple critical functions like autonomy development and validation, triage tools, and in-car visualization.&nbsp; Be a partner to Autonomy engineers as they seek to improve their development workflow with better visualization. Collaborate with ML Labeling teams, as they seek to gather high-quality training data with bespoke labeling tools. Interface with product managers and designers to build polished visualizations for external applications that represent Nuro well. About You You have 3+ years of software development experience in C++ You’re deeply technical: you enjoy working through thorny performance problems in low-level code, and working with advanced language features. You have strong communication skills, and collaborate effectively with colleagues from a wide range of disciplines and backgrounds. You bring up those around you through mentorship and feedback. You’re always on the lookout for ways to improve our team’s products, people, and processes. Bonus Points Prior experience with visualization apps or game engines (OpenGL, Qt, Unity) 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 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.

Senior Software Engineer, Autonomy Visualization

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 We’re looking for an Autonomy Engineer focused on onboard autonomy—the software that runs on the robot/vehicle/embedded computer and makes real-time decisions using onboard sensors and compute. You’ll build and ship reliable autonomy features that operate under tight latency, compute, and safety constraints in the real world. What You’ll Do Develop, integrate, and deploy onboard autonomy behaviors (e.g., navigation, obstacle avoidance, lane/route following, docking, interaction behaviors). Implement and maintain real-time decision-making components: behavior planning, state machines/behavior trees, local planning, and control interfaces. Build robust sensor-driven autonomy pipelines on-device (camera, lidar, radar, IMU, wheel odometry, GNSS), including synchronization, calibration hooks, and fault handling. Optimize autonomy performance for latency, CPU/GPU usage, memory, and power on embedded compute (e.g., NVIDIA Jetson, x86 edge boxes, custom ECUs). Design and implement safety and fallback strategies: health monitoring, degraded modes, watchdogs, safe-stop, and redundancy-aware logic. Own the autonomy stack’s on-robot integration: bring-up, debugging, profiling, logging, and release validation on real hardware. Improve onboard observability: structured logs, traces, metrics, event recording, and tools to support incident review and rapid iteration. Collaborate with perception, mapping/localization, controls, hardware, and systems teams to define clear interfaces and ship end-to-end features. Participate in field testing and root-cause analysis of autonomy issues seen in real deployments. Required Experience Strong software engineering skills in C++ and/or Rust (Python acceptable as a supporting language). Experience shipping software that runs on-device with real-world constraints (embedded Linux, real-time-ish systems, performance-sensitive code). Understanding of autonomy fundamentals: planning, state estimation/localization, controls, and how they interface (you don’t need to be an expert in all). Experience with robotics middleware and tooling (commonly ROS/ROS 2, custom pub/sub frameworks, gRPC, DDS, etc.). Proficiency with debugging and performance tools (e.g., gdb/lldb, perf, flamegraphs, profiling GPU workloads, log/trace analysis). Strong testing discipline: unit/integration tests, simulation/HIL concepts, and safe rollout practices for autonomy. Nice to Have Experience with behavior trees (e.g., BehaviorTree.CPP), hierarchical state machines, or mission/task planning. Practical experience with local planners (trajectory rollout, MPC, sampling-based methods) and real-time control loops. Sensor fusion experience (EKF/UKF), time sync, calibration, and handling intermittent sensors. Experience with mapping and localization stacks (scan matching, visual-inertial odometry, SLAM, map-based localization). Familiarity with safety standards/processes (e.g., ISO 26262 concepts, FMEA, hazard analysis) depending on domain. Experience deploying autonomy to fleets: OTA updates, versioning, configuration management, and field telemetry. Experience in inference optimization 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.&nbsp;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 and $291,150/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.

Senior Software Engineer, Onboard Autonomy

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 On the Autonomy Visualization team, your top priority will be developing high-quality visualization platforms. These platforms will allow any software engineer to add new viz elements. Additionally, you’ll also have the opportunity to work end-to-end on viz features and products, exercising both your technical skills, product sense, and cross-functional communication. About the Work As an Autonomy Visualization Software Engineer, you’ll build business-critical tools that accelerate the development of Nuro’s autonomous driving technology. Build performant visualization frameworks in both C++ / OpenGL and Unity to serve multiple critical functions like autonomy development and validation, triage tools, and in-car visualization.&nbsp; Be a partner to Autonomy engineers as they seek to improve their development workflow with better visualization. Collaborate with ML Labeling teams, as they seek to gather high-quality training data with bespoke labeling tools. Interface with product managers and designers to build polished visualizations for external applications that represent Nuro well. About You You have 3+ years of software development experience in C++ You’re deeply technical: you enjoy working through thorny performance problems in low-level code, and working with advanced language features. You have strong communication skills, and collaborate effectively with colleagues from a wide range of disciplines and backgrounds. You bring up those around you through mentorship and feedback. You’re always on the lookout for ways to improve our team’s products, people, and processes. Bonus Points Prior experience with visualization apps or game engines (OpenGL, Qt, Unity) At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected 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, Autonomy Visualization

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 RoleOne of the responsibilities of the Product Team is to build products that supercharge our operations to safely, efficiently, and effectively power our Autonomous Vehicles. As a Product Manager on the team, you will be responsible for driving high-impact initiatives, working closely with Operations, Design, Engineering, Strategy, Business Development, and Legal.&nbsp; About the Work Empathize with Operators. You are focused on the users, Operators, and invest the time to deeply understand their various workflows. Hands-on learning - rolling up your sleeves and giving it a try yourself - energizes you.&nbsp;&nbsp; Inform Operations roadmap. You know what it takes to operate a safe and efficient commercial service. Given your vision of the big picture, you prioritize and define the products needed to make it a reality.&nbsp; Build tools to scale. You lead the team to define, design, and develop innovative solutions that give our Operations Team “superpowers”. Your step-change products directly influence the number of operators we need to operate each vehicle.&nbsp; &nbsp; &nbsp; Be a force multiplier.&nbsp;You define and communicate product goals, requirements, and constraints. You surface problems and dig-in to fully understand the root cause. You source and synthesize feedback from internal experts and experiments, which is then incorporated in the solution. You define success, measure progress, and have creative tactics to push the pace. About You Strategic: You know the value and priority level for every product you are working on and every feature you propose - both to your customer, and to the business overall.&nbsp; Structured Thinker: You create structure and extract principles for the messiest systems. You surface the most crucial unanswered questions and drive to answers. Data-Driven: You can extract important insights from whatever data is available, even if it is sparse or imperfect. You highlight valuable data we don’t have and how to collect it. Customer-Driven: You develop deep empathy for your customer, fully internalize their needs, and have a strong intuition about the best ways to meet them. Technically Fluent: You have experience building tools with engineers and can be the technical representative in conversations without engineers.&nbsp; Trusted Partner: You know what is blocking your engineers, and how you can make their lives easier. Engineers instinctively turn to you for guidance and clarity. Self-Directed: You proactively sort out the most important thing to work on. You take accountability for your projects, and don’t need to be told how to execute on them. Influential Communicator: You are skilled at collecting input from, and presenting insights to both technical and non-technical audiences. 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 Product Manager, City Management Tooling

Senior Product Manager, Operator Experience Platform

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.

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