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Day Shift Robotics Simulator Jobs in Spring, TX (NOW HIRING)

Bot Auto

Senior ML/RL Engineer, Behavior Planning

Houston, TX · On-site

$99K - $137K/yr

In this role, you will help bridge the gap between simulation and the real world by developing a ... MS or PhD in Computer Science, Robotics, or a related quantitative field. * Scientific Intuition:

PSNYC , INC.

RN - CVOR

Houston, TX · On-site

$2.4K - $3.3K/wk

Day Shift: Night Shift - Patient Ratios Type of equipment: EMR Typical hiring profile: Skill Set ... Robotic cases, TAVRs Best personality fit: Works well under pressure in a very fast paced ...

Mission Hospital

RN - CVOR

Houston, TX · On-site

$2.2K/wk

Details Client Name HCA Houston Med Ctr Job Type Travel Offering Nursing Profession RN Specialty CVOR Job ID 37003859 Job Title RN - CVOR Weekly Pay $2256.0 Shift Details Shift 4x10 Days Scheduled ...

Colorwave Inc

Registered Nurse - CVOR

Humble, TX · On-site

$70K - $100K/yr

CVOR, Circulate, Neuro, On-call required, Open heart, Ortho, PACU experience, Pediatric, RNFA, Robotic surgery, Scrub, Transplant, or Vascular. * Shift(s) available: day shift * Job types available ...

Mission Hospital

RN - Operating Room (OR)

Houston, TX · On-site

$1.8K/wk

Number of ORs 8 ORs Number of Staff 13 RNs, 10 scrub techs Type of staff: o Day Shift 8 RNs, 8 ... General surgery, robotics, colorectal surgery, neuro spine, ortho, urology Best personality Fit:

Prime Staffing

Travel CVOR RN

Houston, TX · On-site

Number of ORs 8 ORs Number of Staff 13 RNs, 10 scrub techs Type of staff: o Day Shift 8 RNs, 8 ... General surgery, robotics, colorectal surgery, neuro spine, ortho, urology Best personality Fit:

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All JobsDay Shift Robotics Simulator JobsDay Shift Robotics Simulator Jobs in Spring, TX

Day Shift Robotics Simulator information

See Spring, TX salary details

$74.8K

$85.4K

$103.7K

How much do day shift robotics simulator jobs pay per year?

As of Jul 14, 2026, the average yearly pay for day shift robotics simulator in Spring, TX is $85,429.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,100.00 and $90,800.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Day Shift Robotics Simulators, and how can they be addressed?

Day Shift Robotics Simulators often encounter challenges such as troubleshooting unexpected errors during simulation runs, maintaining up-to-date knowledge of rapidly evolving robotics software, and ensuring accurate data collection for analysis. To address these, it's important to develop strong problem-solving skills, actively participate in team knowledge-sharing sessions, and regularly review system updates or best practices. Collaborating closely with robotics engineers and maintenance teams can also help quickly resolve technical issues and minimize downtime.

What is the difference between Day Shift Robotics Simulator vs Day Shift Robotics Technician?

AspectDay Shift Robotics SimulatorDay Shift Robotics Technician
Required CredentialsTechnical certifications, programming skillsTechnical certifications, troubleshooting skills
Work EnvironmentLaboratory or simulation labs, office settingsManufacturing floors, industrial settings
Employer & Industry UsageRobotics companies, research labsManufacturing plants, automation companies
Common Search & Comparison IntentUnderstanding simulation roles vs hands-on roles

The Day Shift Robotics Simulator focuses on virtual training and programming of robots in controlled environments, while the Day Shift Robotics Technician involves hands-on maintenance, troubleshooting, and repair of robotic systems in industrial settings. Both roles require technical certifications but differ mainly in practical versus simulation-based work environments.

What are Day Shift Robotics Simulators?

Day Shift Robotics Simulators are professionals who operate and oversee the use of robotic simulation software or equipment during daytime working hours. They ensure that robotic systems are tested, programmed, and optimized in a virtual environment before implementation on the production floor. This role is crucial for identifying issues, improving efficiency, and reducing real-world risks or downtime. Day Shift Robotics Simulators often collaborate with engineers and technicians to update simulation parameters and analyze performance data.

What are the key skills and qualifications needed to thrive as a Day Shift Robotics Simulator, and why are they important?

To thrive as a Day Shift Robotics Simulator, you need a solid background in robotics, automation, and computer science, often supported by a relevant degree or technical certification. Familiarity with simulation software, robotic programming languages (such as ROS or Python), and industrial control systems is typically required. Strong problem-solving skills, attention to detail, and effective communication help you interpret simulation results and collaborate with engineering teams. These abilities ensure accurate testing, troubleshooting, and optimization of robotic systems for efficient day shift operations.
What are popular job titles related to Day Shift Robotics Simulator jobs in Spring, TX? For Day Shift Robotics Simulator jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Day Shift Robotics Simulator jobs in Spring, TX look for? The top searched job categories for Day Shift Robotics Simulator jobs in Spring, TX are:
What cities near Spring, TX are hiring for Day Shift Robotics Simulator jobs? Cities near Spring, TX with the most Day Shift Robotics Simulator job openings:
Day Shift Robotics Simulator jobs near you

Senior ML/RL Engineer, Behavior Planning

Bot Auto

Houston, TX • On-site

$99K - $137K/yr

Other

Medical, PTO

Posted 17 days ago

Job description

 
Company Introduction

At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a startup and the wisdom of seasoned experts, our team has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create groundbreaking solutions that propel the future of transportation. Join us and transform your ideas into reality.

Role Overview

We are seeking a Senior ML/RL Engineer to join our Algo team and drive the development of our unified behavioral architecture. In this role, you will help bridge the gap between simulation and the real world by developing a scalable policy framework that represents both our L4 ego-policy and a diverse population of simulated agents. You will work at the intersection of Multi-Agent Reinforcement Learning (MARL) and safety-critical system design to ensure our autonomous semi-trucks navigate highways with superhuman safety and precision.

Key Responsibilities
  • Behavioral Modeling: Develop and train diverse, conditioned policies that simulate realistic driving behaviors to stress-test and validate our autonomous driving stack.
  • Safety-Constrained Learning: Lead the research and implementation of advanced RL algorithms to ensure safety metrics are treated as primary constraints in the learning process.
  • Reward & Objective Design: Collaborate with cross-functional teams to design robust reward functions and evaluation metrics that balance safety, progress, and comfort.
  • Scalable Training Pipelines: Contribute to the optimization of our large-scale, high-throughput training environments to enable rapid iteration on complex multi-agent scenarios.
  • Model Architecture: Advance our state-of-the-art neural architectures to improve spatial reasoning, long-horizon planning, and interaction modeling.
  • Cross-Team Collaboration: Work closely with Simulation and Planning teams to integrate research-grade models into production-quality, safety-critical software.
Required Qualifications
  • Professional RL Experience: Proven track record of training and deploying deep RL algorithms (e.g., PPO, SAC) for complex, real-world robotic or autonomous systems.
  • Technical Mastery: Expertise in Python and PyTorch; strong understanding of modern deep learning architectures and optimization techniques.
  • Academic Background: MS or PhD in Computer Science, Robotics, or a related quantitative field.
  • Scientific Intuition: Ability to diagnose and solve fundamental challenges in RL training, such as variance management and distribution shift.
Preferred Qualifications
  • Safe RL Specialization: Experience with constrained optimization or safety-critical learning frameworks.
  • Multi-Agent Systems: Background in MARL training stability, including self-play and decentralized execution strategies.
  • Autonomous Driving Domain: Familiarity with vehicle dynamics and behavior planning, particularly for long-haul highway environments.
Additional Information
  • Compensation: Competitive salary based on experience, with opportunities for performance bonuses and equity.
  • Benefits: Comprehensive health insurance, paid time off, and the opportunity to work at the forefront of the autonomous trucking industry.
Why Bot Auto?

We are a small, hyper-focused team on a mission to beat human cost-per-mile through technology. We recently successfully completed the industry's first fully humanless commercial truckload, proving that our vision is a reality. If you are passionate about AI, safety, and transforming logistics, we want to hear from you.

Apply