Research Engineer - Machine Learning for Robot Planning

Arm Holdings

Hybrid

Quick summary

Work type
Hybrid
Location
Austin, TX
Salary
$161,500–$218,500 / yr
Posted
27 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $210k
This role $190k
$151k most similar roles pay here $260k

This role pays less than 69% of similar roles. Most pay $176,721–$244,000 — the shaded band above. At the midpoint, this role pays about $190k versus about $210k for comparable roles.

Based on 240 similar postings.

Employer

About Arm Holdings

Arm Holdings plc is a leading British semiconductor and software design firm, established in 1990 and recognized for developing energy-efficient processor architectures that power nearly all smartphones and a vast range of IoT and computing devices.

Arm Holdings currently has 32 open roles on FindRole.

Listed pay typically runs $194,600–$263,250 across 32 roles with salary data.

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View all roles at Arm Holdings

At a glance

TL;DR · Research Engineer - Machine Learning for Robot Planning

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Join the robotics research lab in Austin as a senior researcher focusing on integrating machine learning into robotic systems under real-world constraints. You will develop and evaluate ML-based approaches such as VLA/VLM models, RL, and learning-based planning, studying their interaction with other components in hierarchical robotic systems to ensure deployable intelligence. Responsibilities include developing ML methods for perception, planning, and control, benchmarking against classical techniques, integrating ML into multi-layer systems, and translating insights into system requirements. Ideal candidates have a PhD or equivalent experience in ML, robotics, or related fields, strong proficiency in Python and frameworks like PyTorch, and experience with robotic systems and simulation environments. Additional skills in task/motion planning, foundation models for robotics, and sim-to-real transfer are beneficial. This role offers the opportunity to shape Arm’s research direction and influence global-scale robot architectures.

Skills

Python PyTorch JAX Robotics Reinforcement Learning Imitation Learning VLM/VLA Models Task/Motion Planning Sim-to-Real Transfer Embodied AI Simulation Environments

What you'll do

  • Develop ML methods for perception, planning, and control in robotics.
  • Work with VLM/VLA models and embodied AI systems.
  • Benchmark learning-based approaches against classical and hybrid methods.
  • Integrate ML components into hierarchical, multi-layer robotic systems.
  • Contribute to system-level prototypes and demonstrations.

What we're looking for

  • PhD or equivalent experience in ML, Robotics, or related field.
  • Strong background in reinforcement learning and embodied AI systems.
  • Proficiency in Python and popular machine learning frameworks like PyTorch.
  • Experience developing and integrating components into hierarchical robotic systems.
  • Publications in top-tier academic venues.

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