Data Science Engineer Jobs at Nuro with Visa Sponsorship
Nuro hires Data Science Engineers to build the data infrastructure and machine learning systems behind its autonomous vehicle technology. The company has a consistent track record of sponsoring work visas for this function, supporting candidates across multiple visa categories from OPT through permanent residency.
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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.
See all 58+ Data Science Engineer at Nuro jobs
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Get Access To All JobsTips for Finding Data Science Engineer Jobs at Nuro Jobs
Align Your Portfolio to Autonomous Systems Work
Nuro's Data Science Engineers work on perception, prediction, and motion planning data pipelines. Projects demonstrating experience with large-scale sensor data, simulation datasets, or real-time ML inference will resonate more than general analytics work.
Confirm Your Visa Type Before Applying
Nuro sponsors several visa categories, but not every role supports every status. If you're on F-1 OPT with a STEM extension window closing, confirm the role qualifies under your employer's E-Verify enrollment before your timeline gets tight.
Request LCA Details During Offer Negotiation
Your employer files a Labor Condition Application with DOL before your H-1B petition reaches USCIS. Ask your recruiter at Nuro what prevailing wage level they're targeting for the role so your offer aligns with what the LCA will certify.
Prepare Specialty Occupation Evidence Early
USCIS requires H-1B petitions to establish that the role is a specialty occupation. Collect your degree transcripts, credential evaluations for foreign degrees, and any publications or technical certifications before your offer letter arrives.
Target Nuro Roles Through Migrate Mate
Filtering for Data Science Engineer openings at visa-sponsoring autonomous vehicle companies narrows your search efficiently. Use Migrate Mate to identify active Nuro roles filtered by the visa types that match your current immigration status.
Understand the Green Card Timeline for This Role
Data Science Engineers at technology companies often pursue EB-2 or EB-3 sponsorship after an H-1B is approved. Ask Nuro's immigration team early whether they initiate PERM labor certification in-house or through outside counsel, since that affects your priority date strategy.
Data Science Engineer at Nuro jobs are hiring across the US. Find yours.
Find Data Science Engineer at Nuro JobsFrequently Asked Questions
Does Nuro sponsor H-1B visas for Data Science Engineers?
Yes, Nuro sponsors H-1B visas for Data Science Engineer roles. The company has an established immigration program that supports candidates through the H-1B petition process, including filing with USCIS and obtaining the required Labor Condition Application from the DOL. If you're subject to the annual H-1B cap, timing your application around the April filing window is critical.
Which visa types does Nuro commonly use for Data Science Engineer roles?
Nuro supports a range of visa categories for Data Science Engineers, including H-1B, H-1B1 for Chilean and Singaporean nationals, TN for Canadian and Mexican citizens, F-1 OPT and CPT for students, J-1 for exchange visitors, and EB-2 or EB-3 for those pursuing permanent residency. The right category depends on your nationality, education, and career stage.
What qualifications does Nuro expect for Data Science Engineer positions?
Nuro's Data Science Engineer roles typically require a bachelor's or advanced degree in computer science, statistics, mathematics, or a closely related field. Practical experience with large-scale data pipelines, machine learning model development, and programming in Python or C++ is expected. Candidates with robotics, autonomous systems, or real-time inference experience are particularly competitive for roles on Nuro's core product teams.
How do I apply for Data Science Engineer jobs at Nuro?
You can find and apply for Data Science Engineer openings at Nuro through Migrate Mate, which lets you filter roles by visa sponsorship type so you only see positions that match your immigration status. Once you identify a relevant opening, tailor your application to highlight experience with sensor data, simulation pipelines, or ML systems relevant to autonomous vehicles, since Nuro's hiring bar skews toward applied engineering depth.
How do I plan my timeline if I'm on F-1 OPT targeting a Data Science Engineer role at Nuro?
If you're on F-1 OPT, securing your offer and having Nuro initiate H-1B sponsorship before your OPT expiration is essential. STEM OPT extensions give you up to 24 additional months if your degree qualifies, but your employer must be enrolled in E-Verify. Since the H-1B cap lottery opens in March for an October 1 start date, plan your job search at Nuro at least six to nine months in advance.
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