Senior Software Engineer, Perception ML Data

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

$194K-$291K From the posting source checked Jun 20, 2026

401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

108% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Company

Equity

Offered From the posting source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Senior Software Engineer, Perception ML Data Mountain View, California (HQ) About the Role We're a team of high-output generalists where ML and systems engineering converge to push autonomy performance forward. As a Perception ML Data Engineer, you'll bridge machine learning innovation and autonomy infrastructure to ensure our models learn from the most relevant, diverse, and high-quality data. Your work will directly impact how autonomous systems understand rare scenarios, adapt to global geographies, and scale safely. Design and advance systems that : - Leverage VLMs to curate geographically diverse datasets matching real-world driving distributions - Develop high fidelity synthetic data frameworks across sensor modalities - Optimize ML-powered validation of data quality and model readiness Tailor Your Impact : - High-Output Generalist: Work across autonomy, infrastructure, databases, simulation, and ML development, gaining domain knowledge in Robotics and ML. - Robotics Expert: Build state of the art solutions for data discovery, auto-labeling, and synthetic generation/reconstruction in close collaboration with Infrastructure and Autonomy. About the work You'll solve autonomy's hardest data challenges through applied ML and systems rigor: - Architect hybrid systems combining deep learning and classical algorithms for scalable data curation and annotation. - Design frameworks to quantify synthetic data's real-world fidelity and improve synthetic data rendering quality. - Build tools that automatically surface data gaps impacting perception model performance. - Collaborate with autonomy engineers to turn raw sensor streams into targeted training priorities - addressing critical gaps that limit perception and autonomy performance About You - BS in Computer Science, Robotics, Statistics,

Read the full description at nuro.ai. FewerJobs shows a preview and links to the original posting.