Mind Robotics
AI & Machine LearningDirect Ashby career site

Research Engineer

Location
Palo Alto, CA · On-site
Job type
Full-time
Level
Mid-level
Listed
30 days ago

Skills & highlights for this role

  • Python
  • PyTorch
  • JAX
  • distributed training across hundreds of GPUs
  • parallelization strategies (data, model, pipeline)

Also useful

  • attention optimization
  • kernel fusion
  • LLM/VLM training
  • inference systems
  • experiment tracking tools

Responsibilities

  • Design and implement scalable systems for training large ML models.
  • Enable efficient workflows for data ingestion, training, and iteration.
  • Develop and optimize distributed training systems across hundreds of GPUs.
  • Implement strategies for parallelization, sharding, and efficient compute utilization.
  • Improve training efficiency through techniques such as attention optimizations, kernel fusion, and memory management.
  • Partner closely with modeling teams to accelerate iteration speed and reduce training costs.
  • Build internal tools for experiment tracking, monitoring, and debugging.
  • Implement systems for tracking training performance, failures, and resource utilization.
  • Debug and resolve bottlenecks across the training stack.
  • Provide lightweight infrastructure support for deploying and running models in production environments.
  • Optimize inference performance and reliability where needed.
  • Support core cloud infrastructure needs for training workloads (without heavy DevOps overhead).
  • Manage compute resources efficiently across training jobs.

Requirements

  • Strong experience building infrastructure for large-scale ML training.
  • Deep understanding of how modern LLM/VLM systems are trained and scaled.
  • Proven experience setting up and scaling distributed training across hundreds of GPUs.
  • Strong understanding of parallelization strategies (data, model, pipeline parallelism).
  • Strong proficiency in Python programming.
  • Expert-level proficiency in PyTorch and/or JAX.
  • Strong understanding of techniques like attention optimization, kernel fusion, and efficient memory usage.

Nice to Have

  • Experience supporting inference systems in production.
  • Familiarity with robotics or embodied AI workloads.
  • Experience building tools for experiment management and researcher productivity.

About Mind

Mind Robotics is building Physical AI for real-world industrial deployment, starting with the factory floor. We believe the hardest problems in AI are solved when researchers and engineers are hands-on with the physical world every day - and we're looking for people who are passionate about robotics, value ownership, and are excited to tackle difficult problems. Join us if you want to move beyond digital intelligence and put intelligence into motion.

About the Team and the Role

At Mind Robotics, we’re building generalized physical AI-robotic systems capable of dexterous, adaptive, and reasoning-intensive work in real-world industrial environments. Our ability to iterate quickly on large-scale models depends on world-class ML infrastructure.

We’re looking for a Research Engineer to build the core systems that enable fast, reliable, and scalable model training-powering everything from experimentation to production deployment.

Read the original posting

From Mind Robotics's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

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Common questions

Where is the Research Engineer job at Mind Robotics located?

This Research Engineer position at Mind Robotics is located in Palo Alto, CA (On-site). Always check Mind Robotics's application page for specific state eligibility or relocation policies.

What qualifications are required for Research Engineer at Mind Robotics?

For the Research Engineer role, Mind Robotics highlights experience with Python, PyTorch, JAX, distributed training across hundreds of GPUs, parallelization strategies (data, model, pipeline). Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Research Engineer position at Mind Robotics?

This listing links directly to Mind Robotics's Ashby application page. You can apply directly on Mind Robotics's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.

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