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Robot Control Jobs in Kentucky (NOW HIRING)

$180 - $260/hr

Build low-latency inference pipelines for real-time robot control. You'll apply quantization, distillation, and model compilation (TensorRT, Triton) to move models from the lab to the physical world.

Mold Setter

Lexington, KY · On-site

$15.75 - $18.75/hr

Responsible for maintaining the appearance of all Thermolators, Robot Control Stations, DME Units, etc. * Responsible to follow all OSHA and safety rules and regulations * Load processing and robot ...

Diagnose and troubleshoot mechanical, electrical, controls, network, and software issues across robotic hardware and supervisory control layers. * Verify and validate interfaces between robotic ...

Diagnose and troubleshoot mechanical, electrical, controls, network, and software issues across robotic hardware and supervisory control layers. * Verify and validate interfaces between robotic ...

Diagnose and troubleshoot mechanical, electrical, controls, network, and software issues across robotic hardware and supervisory control layers. * Verify and validate interfaces between robotic ...

$85 - $110/hr

Design, program, and commission PLC, HMI, and robot control systems for new and existing production equipment. * Lead integration of industrial robots and collaborative robots (cobots) into ...

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Robotics Tutor

Lexington, KY · Remote

$18 - $40/hr

Ability to explain sensor integration, PID control, gear ratios, and autonomous navigation while preparing students for robotics competitions, engineering coursework, and STEM career pathways.

Robotics Tutor

Louisville, KY · Remote

$18 - $40/hr

Ability to explain sensor integration, PID control, gear ratios, and autonomous navigation while preparing students for robotics competitions, engineering coursework, and STEM career pathways.

$180 - $200/hr

... our robot's performance. Responsibilities: * Deliver high quality code across many layers of the robotics software stack * Implement highly performant and real time code for critical control and ...

$150 - $210/hr

... robots. What You'll Do * Onboard Control ... Develop control laws for the base vehicle and automated arms, utilizing techniques such as MPC ...

Robot Operator - Erlanger, KYThis is an hourly level position.Shift and hours: 8 hours shiftsJob ... Report QC deviations to Team LeadersExecute rework and formula adjustments according to QC and ...

$70 - $100/hr

As a Control Systems Engineer, you will support the development, testing, and improvement of ... Knowledge of hydraulic systems, powertrain systems, robotics, or autonomous machine technologies.

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This role focuses on online and offline robot and PLC programming, equipment installation, safety validation, and troubleshooting electrical control systems to ensure reliable, efficient operation of ...

$70 - $90/hr

This role is heavily focused on robotic weld programming, weld process development, and weld ... Maintain accurate engineering documentation, work instructions, process sheets, PFMEAs, control ...

$125 - $232/hr

Architect, program, and sustain PLC, robotic control, and HMI systems that automate and scale manufacturing processes as assigned. * Design and maintain electrical control systems and data ...

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Showing results 1-20

Robot Control information

What is the difference between Robot Control vs Robot Programmer?

AspectRobot ControlRobot Programmer
Required CredentialsTechnical certifications, associate degrees in robotics or automationSimilar certifications, programming courses, and technical training
Work EnvironmentManufacturing plants, automation facilities, industrial settingsDesign labs, manufacturing floors, software development environments
Employer & Industry UsageManufacturers, automation companies, industrial facilitiesRobotics firms, manufacturing companies, automation service providers
Common Search & Comparison IntentUnderstanding operational roles in roboticsFocus on programming and software development for robots

Robot Control involves managing and operating robotic systems on the factory floor, ensuring they perform tasks correctly. Robot Programmers focus on writing and developing the software that enables robots to function. While both roles require technical skills and industry knowledge, Robot Control emphasizes operational oversight, whereas Robot Programmers concentrate on programming and software development.

Is it hard to get a robot control job?

A robot control job typically requires a background in robotics, programming, or engineering, along with skills in control systems and experience with relevant tools like PLCs or ROS. Competition can be moderate, but having specialized knowledge and certifications can improve chances of employment.

Is robotics a high paying field?

Robotics is generally considered a high-paying field, especially for roles such as robot control engineers and automation specialists, with salaries often exceeding average engineering wages. Factors like experience, education, certifications, and industry (e.g., manufacturing, aerospace) influence earning potential, and advanced skills in programming and control systems can lead to higher salaries.

What job categories do people searching Robot Control jobs in Kentucky look for?

The top searched job categories for Robot Control jobs in Kentucky are:

What cities in Kentucky are hiring for Robot Control jobs?

Cities in Kentucky with the most Robot Control job openings:

Infographic showing various Robot Control job openings in Kentucky as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 19% Part Time, 4% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

ML Infrastructure Engineer, Training Redwood City, CA Fulltime

Dyna Robotics, Inc

On-site

$180 - $260/hr

Other

Posted 8 days ago


Job description

Dyna Robotics builds general-purpose robots powered by a proprietary embodied AI foundation model with top-in-industry generalization and real-world performance. Already deployed with customers across multiple industries, our robots do commercial-grade work in the physical world. Our team comes from Google DeepMind, Meta, and Cruise, and we're backed by CRV, First Round, and other leading investors.

The Role

As a ML Training Infrastructure Engineer, you will architect and build the systems that turn our multi-cloud GPU fleet into a training engine our researchers love. Your charter is singular and broad: own training infrastructure end-to-end so that every GPU is busy, every run is reproducible, and every researcher's next experiment is one command away.

What You'll Do
  • Scale Distributed Training: Architect and own the infrastructure for large-scale GPU clusters. You'll implement sharding, activation checkpointing, and memory optimization (ZeRO, FSDP) to enable the training of massive multimodal models.

  • Optimize Researcher Ergonomics: Build a research codebase and job scheduling system (Kubernetes/SLURM) that prioritizes fast iteration, automated retries, and seamless failure recovery.

  • High-Performance Data Handling: Design high-throughput pipelines to ingest and transform terabytes of multimodal robot data (video, proprioception, 3D signals), ensuring dataloaders never starve the GPUs.

  • Production Inference: Build low-latency inference pipelines for real-time robot control. You'll apply quantization, distillation, and model compilation (TensorRT, Triton) to move models from the lab to the physical world.

  • Deep Systems Profiling: Dive into the weeds of GPU utilization, I/O bottlenecks, and memory fragmentation to squeeze every bit of performance out of our expanding compute fleet.

What You'll Bring
  • 7+ Years of Engineering: With a track record of leading technical projects in high-performance computing (HPC) or ML infrastructure.

  • ML Systems Mastery: Deep experience with PyTorch and distributed training frameworks (DeepSpeed, Accelerate). You understand the nuances of mixed precision and gradient accumulation.

  • Infrastructure Expertise: Hands-on experience managing cloud GPU environments (GCP/AWS) and container orchestration (Kubernetes).

  • Low-Level Intuition: A fundamental understanding of distributed systems, including race conditions, memory management, and NCCL/inter-node communication.

  • Ownership Mindset: You don't just "deploy" code; you design, build, and operate systems end-to-end to unblock fast-moving research.

Bonus Points For
  • Experience with Robotics Data Formats (MCAP, Protobuf) or multimodal models (VLAs).

  • Deep ML systems experience: custom kernels (Triton), compilers, or runtime optimization.

  • Experience as a founding or early-stage infrastructure hire.

At Dyna Robotics, we build technology for the real world, which requires a team as diverse as the environments our robots inhabit. We are an equal opportunity employer committed to technical rigor and mutual respect.

Don't let a checklist stop you. Data shows that underrepresented groups often only apply if they meet 100% of the criteria. We value problem-solving and grit over keyword matching. If You're passionate about the intersection of geometry and robotics, we want to hear from you - even if you don't check every box.

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