aimlroles

Senior/Staff Machine Learning Engineer, Sensor Simulation

nuro nuro.ai Open · verified Oct 22, 2026
Mountain View Full-time Senior Machine Learning Engineering

At a glance

Senior Machine Learning Engineering role at nuro. Mountain View · full-time · $193,930–$291,150 base.

SalaryStated by nuro
$193,930 – $291,150
Base salary for this role, in USD per year, as published in the posting.
This role, from nuroOur estimate for the market: $218,875–$250,066Median $238,000
The range includes the market median of $238,000 for senior machine learning engineering roles in Mountain View.
Worked out from 19 postings that stated pay, median $238,000. Last updated Oct 22, 2026.
RoleMachine Learning Engineering
SenioritySenior
LocationMountain View
EmploymentFull-time
Base pay$193,930–$291,150
PostedJul 10, 2026 · 3mo ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Develop machine-learning methods that create simulated sensor outputs, including images and lidar or radar data
  • Test how realistic and useful the generated sensor data is for its intended applications
  • Investigate how sensor data relates to autonomy performance
  • Coordinate with autonomy, infrastructure and systems teams to clarify map requirements

What you bring

  • A PhD plus three years in industry, a master's plus four years, or at least five years of industry experience
  • Strong machine-learning foundations and practical experience training and assessing modern models
  • Fluency in Python and experience using a deep-learning framework such as PyTorch, TensorFlow or Jax

Who this fits

This senior or staff individual-contributor role suits an engineer with robotics and machine-learning experience in synthetic sensor simulation. It is based in Mountain View, and the role may develop into a technical lead or TLM position.

From the employer

Who We Are

Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides.

Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles.

With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected.

Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors.

About the Role

Our robotics team is growing and we are looking for a Software Engineer to join our Sensor Data and Calibration team. We are searching for an engineer with robotics and machine learning expertise to develop synthetic sensor simulation models and algorithms. The ideal candidate has hands-on experience in the research, development, and implementation of machine learning methods (e.g., NeRF or Gaussian splatting) for generating synthetic sensor data (photorealistic images, realistic lidar and/or radar, etc.).

About the Work

  • Research, develop, and implement state-of-the-art synthetic sensor simulation methods
  • Analyze and characterize the realism and utility of synthetic sensor data
  • Answer critical questions about sensor data and autonomy performance
  • Collaborate with stakeholders across autonomy, infrastructure, and systems teams on map needs and requirements
  • Role is scoped as a Senior/Staff IC with the flexibility to grow into a Tech Lead/TLM.

About You

  • One of
    • PhD in machine learning, computer science, electrical engineering, robotics, or related field, and 3+ years of industry experience
    • Masters and 4+ years of industry experience
    • 5+ years of industry experience
  • Deep understanding of ML fundamentals with hands-on experience in training and evaluating modern ML models
  • Strong Python skills with experience in deep learning frameworks, e.g., PyTorch, TensorFlow, or Jax

Bonus Points

  • Deep understanding of 3D geometry and state estimation fundamentals
  • Proficiency in systems coding
  • Experience in simulating/modeling real sensors (camera, lidar, radar, IMU, etc), including noise modeling
  • Experience in modern ML graphics techniques, e.g., NeRF, Gaussian Splatting, and/or generative models.
  • Experience in building ML pipelines and optimizing/productizing ML models
  • Demonstrated research publications in top conferences (e.g. NeurIPS, ICLR, ICML, CVPR, RSS, CoRL, ICRA)

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.