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Robotics Lab Operator Salary Jobs in Massachusetts

BlackTree Technical Group, Inc.

Be Seen First

VR Robot Operator

Waltham, MA · On-site

$28/hr

... robotics organization is seeking Robot Pilots to support hands-on robot operation and data ... a fast-paced lab environment. This role is ideal for candidates who are comfortable using ...

Sereact GmbH

Hardware Technician US (m/f/d)

Boston, MA · On-site

$105K - $140K/yr

... our robotics lab, shop, and deployments. This is a highly practical, execution-focused role for ... Compensation & Benefits Base salary range: USD $105,000 - $140,000 (actual pay based on skills ...

Tutor Intelligence

Head of Marketing

Watertown, MA

$180K - $250K/yr

As an AI robotics frontier lab that deploys its inventions directly into the facilities that need ... We're looking for a builder who still makes things, not an operator who needs a large org and ...

INFOSYS NOVA HOLDINGS LLC

Robotic Tester

Boston, MA · On-site

$60K - $80K/yr

... a controlled lab environment, tele-operating devices, and documenting system behavior to support ongoing robotics research and development. This position is ideal for candidates with a STEM ...

Tutor Intelligence

Head of Marketing

Watertown, MA · On-site

As an AI robotics frontier lab that deploys its inventions directly into the facilities that need ... We're looking for a builder who still makes things, not an operator who needs a large org and ...

Tutor Intelligence

Head of Marketing

Watertown, MA · On-site

As an AI robotics frontier lab that deploys its inventions directly into the facilities that need ... We're looking for a builder who still makes things, not an operator who needs a large org and ...

Tutor Intelligence

Head of Marketing

Watertown, MA · On-site

$180 - $250/hr

As an AI robotics frontier lab that deploys its inventions directly into the facilities that need ... We're looking for a builder who still makes things, not an operator who needs a large org and ...

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Robotics Lab Operator Salary information

How much do robotics lab operators make?

Robotics lab operators typically earn between $40,000 and $70,000 annually, depending on experience, location, and the complexity of the robotics systems they manage. Entry-level positions may start lower, while experienced operators with specialized skills can earn higher salaries. Certifications in robotics or automation can also influence compensation.

Is a robotics lab operator a high paying career?

Robotics lab operators typically earn salaries that are around or slightly below the national average for technical support roles, with pay varying based on experience, location, and certifications. While not considered a high-paying career, gaining specialized skills or certifications can improve earning potential in this field.

What does a robotics lab operator do?

A robotics lab operator manages and maintains robotic systems and equipment in a laboratory setting. They troubleshoot hardware and software issues, perform routine inspections, and ensure safety protocols are followed, often using tools like diagnostic software and requiring technical skills or certifications in robotics or automation. Their role supports research, development, and testing of robotic technologies.

What are popular job titles related to Robotics Lab Operator Salary jobs in Massachusetts?

For Robotics Lab Operator Salary jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Robotics Lab Operator Salary jobs in Massachusetts look for?

The top searched job categories for Robotics Lab Operator Salary jobs in Massachusetts are:

What cities in Massachusetts are hiring for Robotics Lab Operator Salary jobs?

Cities in Massachusetts with the most Robotics Lab Operator Salary job openings:

Robotics Lab Operator Salary jobs near you

Senior Software Engineer I/II, Back-end/Data, Robotics

Lila Sciences

Cambridge, MA • On-site

$133K - $176K/yr

Full-time

Posted 11 days ago

Job description

Your Impact at LILA

You will build the back-end and data foundations of the systems that schedule work across our autonomous labs, model them as digital twins, and turn raw experimental output into trustworthy, queryable data. In Robotics, you'll own core services scientists, operators, and engineers rely on daily - the ones that decide how efficiently our robots run and how much our scientists trust their data.

What You'll Be Building

  • Design scheduling systems: allocate experiments, instruments, and compute across autonomous labs, modeling long-running jobs as durable Temporal workflows.
  • Model digital twins: stand up the simulation/digital-twin data layer so teams predict factory behavior before committing resources.
  • Own technical data management: build the Flyte pipelines, S3 lakehouse, and PostgreSQL models that turn instrument output into governed, trustworthy data.
  • Enable data science: ship batch and event-driven pipelines that put clean data in the hands of scientists and models.
  • Deliver capacity planning: create customer-facing services that help teams forecast factory capacity.
  • Operate for scale: run services on AWS EKS with Docker/ECR, Terraform, and GitHub Actions, reliable as the factory grows.

What You'll Need to Succeed

  • 4-8 years of back-end engineering: production services in Python (FastAPI) at scale.
  • Data engineering: pipelines on a workflow orchestrator such as Flyte, Temporal, or similar.
  • Data modeling across stores: hands-on SQL (PostgreSQL), object storage (S3), and data lakehouse architectures.
  • Cloud-native delivery: a major cloud with containers, infrastructure as code, and CI/CD - ideally AWS EKS (Docker/ECR), Terraform, and GitHub Actions.
  • End-to-end ownership: taking services from design through delivery, reliability, and iteration.
  • Clear collaboration: communicating technical tradeoffs plainly with engineers, scientists, and business partners.

Bonus Points For

  • Systems engineering in regulated industries: systems-thinking rigor in safety- or quality-critical settings - aerospace, manufacturing, or healthcare/life sciences. Exposure to 21 CFR Part 11, ALCOA+, GAMP 5 / FDA CSA, or ISA-95 a plus.
  • Domain exposure: robotics, lab automation, LIMS, or manufacturing/MES environments.
  • Scheduling & optimization: job scheduling, resource allocation, or constraint/optimization problems.
  • Data-science enablement: distributed compute (Ray), experiment tracking (Weights & Biases), or model serving.
  • Event-driven messaging: NATS, MQTT, or similar pub/sub for high-volume telemetry.

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