Senior Robot AI Engineer - ML & Data

  • Mountain View, CA
  • Posted 2 hours ago | Updated 2 hours ago

Overview

On Site
Hybrid
USD 158,000.00 - 210,000.00 per year
Full Time

Skills

Reporting
Prototyping
Problem Solving
Conflict Resolution
Adaptability
Decision-making
Cloud Storage
Data Collection
Training
Evaluation
Computer Hardware
System Integration
Software Development
Testing
Documentation
Computer Science
Electrical Engineering
Robotics
Artificial Intelligence
Python
C++
PyTorch
TensorFlow
Sensors
Fusion
Internationalization And Localization
Mapping
ROS
Real-time
Continuous Integration
Continuous Delivery
Agile
Machine Learning (ML)
AV
Audiovisual
Life Insurance
Customer Experience
FOCUS
SAP BASIS
Recruiting
Screening

Job Details

Job Description

Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the MTV office three times per week, at minimum.

The Robotics Software team is building the next generation of autonomous robotic systems, with a focus on autonomous mobile robots (AMRs) and intelligent robotic platforms. We develop full-stack robotics capabilities-from perception and planning to control and system integration . Our mission is to bring innovative a nd real-world autonomous solutions to the future of the work.

We are seeking a R obot AI E ngineer to help develop AI systems for autonomous robots. In this role, you will work on machine learning solutions across perception, sensor fusion, and decision-making , enabling reliable and scalable autonomy in complex indoor environments.

You will contribute to the full development lifecycle from prototyping t o real world deployment, collaborating closely with experienced engineers and learning industry best practices in robotics AI. This is a hands-on problem solving role that calls for curiosity, adaptability and a strong team mindset.

What You'll Do

  • Contribute to the development and integration of AI components for perception, tracking, classification, and decision-making in robotic systems.


  • Assist in implementing and maintaining data pipelines for robotic systems, including data collection from edge devices, ingestion, transformation, and cloud storage.


  • Support the development of offline pipelines for data collection, annotation, training, and evaluation.


  • Work with planning, localization, hardware, and system integration teams to help ensure end-to-end system performance.


  • Participate in testing and validation of AI systems in simulation and real-world environments.


  • Learn and apply best practices for software development, testing, and documentation in a robotics context.


  • Stay up to date with relevant tools, frameworks, and techniques in robotics AI.


Your Skills & Abilities (Required Qualifications)

  • Bachelor's, Master's, or Ph.D. in Robotics, Computer Science, Electrical Engineering, or a related field


  • Hands-on industry e xperience in robotics, AI, or perception system development


  • Strong programming skills in Python, C++, plus familiarity with ML frameworks such as PyTorch or TensorFlow


  • Solid u nderstanding of robot autonomy stack, including perception, sensor fusion, localization, mapping, and planning


What Will Give You A Competitive Edge (Preferred Qualifications)

  • Familiarity with ROS/ROS2, Navigation2, and real-time systems


  • Experience working with simulation environments and large-scale validation pipelines


  • K nowledge of CI/CD practices, Agile development, and scalable ML infrastructure


  • Domain experience in AV, ADAS, AMRs, or industrial automation is a strong plus


Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
  • The salary range for this role is 158,000 and 210,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
  • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.


Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Relocation: This job may be eligible for relocation benefits.

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About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards Resources .

Non-Discrimination and Equal Employment Opportunities (U.S.)

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All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire .

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