Data Contributor Jobs at Nuro with Visa Sponsorship
Data Contributor roles at Nuro sit at the intersection of autonomous vehicle development and real-world data quality, requiring contributors who can annotate, validate, and improve datasets that drive AI decision-making. Nuro has a consistent track record of sponsoring international talent across multiple visa categories for this function.
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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 & 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.
- 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.

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 & 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.
- 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.
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Get Access To All JobsTips for Finding Data Contributor Jobs at Nuro Jobs
Frame Your Annotation Experience Around Autonomy Datasets
Nuro's data pipeline supports self-driving vehicle perception models, so position your labeling or QA experience around sensor fusion, LiDAR annotation, or edge-case scenario tagging rather than generic data entry. That specificity signals direct relevance to their workflows.
Verify Your OPT STEM Extension Eligibility Early
Data Contributor roles often fall under computer science or information technology degree classifications. Confirm with your DSO whether your degree qualifies for a 24-month STEM OPT extension before applying, since Nuro sponsors across multiple categories and your current status affects which path makes sense.
Target Nuro's Contract and Vendor Data Pipelines Strategically
Many Data Contributor openings at autonomous vehicle companies flow through staffing vendors rather than direct hire. Identify whether the Nuro posting is vendor-managed, since H-1B sponsorship for those roles typically requires the primary employer of record to file the petition, not Nuro directly.
Use Migrate Mate to Filter Verified Sponsorship-Ready Openings
Search for Data Contributor roles at Nuro on Migrate Mate, which filters specifically for positions where visa sponsorship has been offered. This saves you from applying to openings where sponsorship isn't available for your visa category.
Confirm LCA Wage Level Alignment Before Negotiating Offer
When Nuro files a Labor Condition Application with DOL for your Data Contributor role, your offered salary must meet the prevailing wage for that occupation in the work location. Understand the wage levels before negotiating so your offer doesn't create a compliance issue during filing.
Prepare a Portfolio Demonstrating Edge Case Handling
Nuro's data quality standards for autonomous systems demand contributors who can identify ambiguous or failure-state scenarios in training data. Document specific examples where you flagged or resolved annotation edge cases, as this directly addresses the most technically demanding part of their screening process.
Data Contributor at Nuro jobs are hiring across the US. Find yours.
Find Data Contributor at Nuro JobsFrequently Asked Questions
Does Nuro sponsor H-1B visas for Data Contributors?
Yes, Nuro sponsors H-1B visas for Data Contributor roles. Because the H-1B requires a specialty occupation with at least a bachelor's degree in a directly related field, your application is strongest when your degree is in computer science, data science, or a related discipline. Sponsorship is subject to USCIS approval and the annual H-1B cap and lottery process.
How do I apply for Data Contributor jobs at Nuro?
You can find and apply for Data Contributor positions at Nuro through Migrate Mate, which curates verified sponsorship-eligible openings so you're not wasting applications on roles that won't support your visa category. From there, tailor your resume to reflect data annotation, quality assurance, and any experience with computer vision or autonomous systems datasets before submitting.
Which visa types are commonly used for Data Contributor roles at Nuro?
Nuro sponsors a range of visa categories for this function, including H-1B, H-1B1 for Chilean and Singaporean nationals, TN for Canadian and Mexican professionals, F-1 OPT and CPT for current students, J-1 for exchange visitors, and employment-based Green Card pathways including EB-2 and EB-3 for longer-term immigration goals.
What qualifications does Nuro expect for Data Contributor roles?
Nuro's Data Contributor positions typically require experience with structured data labeling, quality control workflows, or annotation tooling used in machine learning pipelines. Familiarity with autonomous vehicle sensor data, such as LiDAR point clouds or camera frame sequences, is a significant differentiator. A bachelor's degree in a technical field is usually expected, particularly when visa sponsorship is involved.
How do I time my application given H-1B filing deadlines?
The H-1B cap filing window opens in March each year for an October 1 start date. If you're on F-1 OPT, confirm your OPT expiration date and whether a STEM extension is available, since cap-gap protection can bridge your status if your OPT expires between April and September while a timely H-1B petition is pending. Plan to have an offer and employer commitment no later than February to allow time for LCA filing with DOL before the USCIS registration window opens.
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