# Research Engineer - Robotic Hardware, Simulation and Data

**Company:** [Applied Intuition](https://hotfix.jobs/companies/applied-intuition)
**Location:** Sunnyvale, CA
**Role:** Hardware Engineering
**Salary:** $126k – $423k/yr
**Experience:** 0+ years
**Skills:** Python, PyTorch, Computer Vision, Robotics Systems, Distributed Machine Learning, Reinforcement Learning, Slam, Pose Estimation, Simulation, ROS
**Posted:** 2026-04-21

> Develops robotic hardware, large-scale simulations for RL training, and processes human data for autonomy and robotics applications. Collaborates on research publications and deploys algorithms to production systems. Requires hands-on robotics experience and expertise in Python, PyTorch, computer vision.

## Job Description

## Responsibilities
- Support the team for robotic and data collection hardware set up, and design the mechatronic system for customized demands
- Construct robotic simulation environments at scale and use it for RL training
- Process human data for robotic use cases
- Work closely with Research Scientists and interns on high-quality research publications to submit to top-tier conferences
- Collaborate with our engineering teams on ADAS, data, and simulation to deploy end-to-end algorithms for mass production vehicles, and neural simulation/generation for tools supporting autonomy development

## Requirements
- Hands-on experience in at least one of the following fields:
  - Humanoid, general robotics and human data collection hardware experiences (both utilization and design)
  - Large-scale robotic simulation construction, deformable object simulation, and its utilization in RL training
  - Human data processing, retargeting, pose estimation, SLAM
- Passion for next-generation, scalable autonomy and robotics for real-world systems
- Strong engineering and research skills and the ability to work both independently and collaboratively on projects
- Technical experience in: **Python**, **PyTorch**, **computer vision**, **robotics systems**, and **distributed machine learning model training**

## Nice to Have
- Industry experience on relevant topics (self-driving application preferred)
- MSc or PhD in machine learning and computer vision with autonomy and robotics applications or closely related field
- Passion for building and shipping customer-focused software frameworks or tool

## Compensation
- Base salary range: **$126,000 - $423,000 USD** annually
- Equity, comprehensive health/dental/vision/life/disability insurance, 401k with employer match, learning/wellness stipends, paid time off

## Similar roles

- [Mechanical Engineer](https://hotfix.jobs/jobs/09ed2983-4a51-434b-969e-a9ec95e108c7) - Parallel Systems - Los Angeles, CA - $125k – $150k/yr
- [Engineer (Formula SAE Track)](https://hotfix.jobs/jobs/51e7e200-e686-490f-80fe-914e65ae6494) - Icarus - El Segundo, CA - $120k – $160k/yr
- [Electrical Systems Integration Engineer](https://hotfix.jobs/jobs/99f4def5-3b16-46cd-9873-8bc3c8579fa1) - Applied Intuition - Sunnyvale, CA - $120k – $220k/yr
- [RF Hardware Engineer (Early Career)](https://hotfix.jobs/jobs/aeb716d0-b23c-4480-90ee-e11961dc7f8e) - Northwood Space - Los Angeles, CA - $120k – $170k/yr
- [Hardware Integration Engineer](https://hotfix.jobs/jobs/ec82c642-1909-44c0-8dce-ad3becce674e) - Applied Intuition - Sunnyvale, CA - $118k – $201k/yr

**Apply:** https://hotfix.jobs/jobs/f7ea3c44-ec4b-42c9-a86e-ca49c9078231
**Canonical:** https://hotfix.jobs/jobs/f7ea3c44-ec4b-42c9-a86e-ca49c9078231