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Senior Graduate Robotics Engineer Jobs in Texas (NOW HIRING)

Apptronik

Robotics Test Engineer

Austin, TX

JOB SUMMARY Apptronik is seeking a Robotics Test Engineer to join the Software Integration & Test ... Partner with senior engineers on root-cause investigations for CI failures, escaped defects, and ...

Amazon

Robotics Systems Engineer I, Tech Deployment

Austin, TX · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Join Amazon's Robotics Delivery & Packaging Innovations (RDPI) Technology Deployment team within ... You will work with senior engineers and your manager to develop technical depth and begin building ...

Amazon

Robotics Systems Engineer I, Tech Deployment

Austin, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Join Amazon's Robotics Delivery & Packaging Innovations (RDPI) Technology Deployment team within ... You will work with senior engineers and your manager to develop technical depth and begin building ...

Toyota

Sr. R&D Software Engineer

Grapevine, TX · On-site

$113K - $149K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You'll work on real robots. You'll ship real code. You'll help launch entirely new automation ... Your Mission The primary mission of the R&D Senior Software Engineer is to act as a technical ...

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Senior Graduate Robotics Engineer information

What is the difference between Senior Graduate Robotics Engineer vs Robotics Software Developer?

AspectSenior Graduate Robotics EngineerRobotics Software Developer
Required CredentialsBachelor's or Master's in Robotics, Mechanical, or Electrical EngineeringBachelor's or Master's in Computer Science or Software Engineering
Work EnvironmentResearch labs, manufacturing, automation companiesSoftware firms, tech startups, robotics companies
Industry UsageDesigning and testing robotic systems, integrating hardware and softwareDeveloping software for robotic applications, simulation, and control algorithms

The main difference is that Senior Graduate Robotics Engineers focus on designing and integrating robotic hardware and systems, while Robotics Software Developers primarily work on creating software solutions for robotics. Both roles require technical skills, but their focus areas differ, with the former emphasizing hardware and system integration, and the latter emphasizing software development.

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The most popular types of Graduate Robotics Engineer jobs in Texas are:

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For Senior Graduate Robotics Engineer jobs in Texas, the most frequently searched job titles are:

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Cities in Texas with the most Senior Graduate Robotics Engineer job openings:

Senior Graduate Robotics Engineer jobs near you
Infographic showing various Senior Graduate Robotics Engineer job openings in Texas as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

Sr. DevOps Engineer, Cloud Platform

Contoro Robotics

Austin, TX • On-site

$128K - $165K/yr

Full-time

Re-posted 29 days ago

Job description

Join Contoro Robotics - Revolutionizing Warehouse Automation with Cutting-Edge Robotics
At Contoro Robotics, we're on a mission to solve labor challenges through advanced robotic solutions. Headquartered in Austin, TX, our fast-growing startup is transforming the supply chain industry with our flagship warehouse automation technology. Our team is made up of top-tier experts in robotics, AI, and logistics, working together to push the boundaries of automation.
We're looking for talented and ambitious individuals to join us on this journey-helping shape the future of robotics while growing alongside a world-class team. If you're passionate about innovation, problem-solving, and making a real-world impact, we want to hear from you!
Job Description
Title: Senior DevOps Engineer
Intro
Contoro Robotics is an Austin-based startup revolutionizing warehouse automation with AI-powered robotic solutions tackling real industrial challenges. Our mission is to deploy scalable, human-in-the-loop autonomous systems that reliably perform in the field. As our fleet of unloading robots expands, we're looking for a talented DevOps Engineer to help scale and harden our Cloud Platform infrastructure. This role is critical to enabling real-time robot operation, system monitoring, and on-demand AI training infrastructure. You'll own key components of our web services, networking, and CI/CD systems.
Job Responsibility
  • Cloud Platform Infrastructure
    • Lead and maintain three foundational pillars of our infrastructure:
      • Web Services: AWS-hosted and on-premise deployments
      • Fleet Network: Secure, scalable data communication with the robots
      • CI/CD Pipelines: Fast and reliable build/test/deploy automation
  • System Migration & Deployment
    • Lead the migration of key services to cloud-based infrastructure (AWS)
    • Design and maintain secure user access, containerized services, and cloud-native integrations
  • Fleet & GPU Resource Management
    • Optimize uptime and performance of GPU clusters for real-time and batch AI model training
    • Build and scale secure remote-access networking for robot fleet management
  • Metrics-Driven Optimization
    • Track and improve KPIs around build speed, service uptime, and deployment cadence
    • Ensure infrastructure performance stays within defined budget constraints
  • Best Practices & Collaboration
    • Promote software development best practices, including automation, versioning, and test coverage
    • Collaborate closely with software, hardware, and AI teams to integrate infrastructure into the product lifecycle

Qualification/Requirements
Please do not apply if you do not have direct experience designing and building AWS-driven infrastructure from scratch. It is not sufficient to have maintained existing systems.
  • Experience
    • 5+ years of hands-on experience with AWS, Linux, Terraform, and Python
    • Prior ownership or leadership of production infrastructure projects
  • Technical Expertise
    • Solid knowledge of AWS services (IAM, S3, EC2, ECR, VPC, etc.)
    • Proficient with Docker, Docker Compose, and Terraform
    • Experience with messaging and communication protocols (e.g., Kafka, MQTT, WebSockets)
    • Deep knowledge of scalable data stores (SQL, Redis, Timeseries, etc) and retention policies
    • Passion for CI/CD workflows and automated testing pipelines
  • Soft Skills
    • Strong sense of ownership, urgency, and curiosity
    • Excellent communication skills-both verbal and written
    • Ability to work collaboratively across cross-functional teams
  • Education
    • Minimum B.S. in Computer Science, Engineering, or related field (or equivalent industry experience)
  • Work Location
    • Willingness to work on-site at our Austin, TX headquarters

Preferred/Plus
  • Experience managing GPU clusters or distributed compute environments
  • Exposure to robot fleet orchestration or IoT deployment strategies
  • Familiarity with 5G hardware, VPN technologies, and network configuration
  • Familiarity with cloud-native observability stacks (e.g., Prometheus, Grafana, ELK)

*Recruitment Agencies: Please do not contact our employees regarding this role. We partner with a select group of approved recruiting firms and do not accept unsolicited outreach or candidate submissions.

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