Robotics Engineer (Contractor)

Maneva

Job Overview

Location

Remote

Employment Type

Contractor

Work Arrangement

Remote

Sector

Engineering & Manufacturing

Experience Level

Mid-level (3-5 years)

Application Deadline

May 6, 2026

About the Company

Maneva is at the forefront of revolutionizing manufacturing through cutting-edge Vision-to-Action AI solutions. By integrating camera feeds and real-time production data, Maneva empowers manufacturers to optimize factory-floor operations autonomously.

The company's platform identifies critical issues like bottlenecks, quality defects, and process inefficiencies, then triggers automated actions to enhance throughput, quality, and cost performance. Maneva's software seamlessly integrates with existing manufacturing systems at the edge, enabling AI deployment without extensive infrastructure changes.

This approach shifts manufacturers from reactive, manual decision-making to proactive, data-driven operational optimization, positioning Maneva as a key player in driving industrial AI adoption and delivering measurable ROI.

Job Description

Maneva is at the forefront of pioneering vision-to-action AI solutions for the manufacturing industry. We leverage camera and production data to significantly optimize factory-floor operations.

As a Robotics Engineer on a contract basis, you will be instrumental in integrating advanced robotics hardware and software. Your role will ensure the seamless collection of data and the effective deployment of AI-driven policies in real-world industrial settings.

You will collaborate closely with our deployment engineers, contributing directly to the development and optimization of robotic systems. The ultimate goal is to enhance uptime, quality, safety, and throughput for our industrial clients.

To apply for this role, click the Apply button on this page and follow the instructions.

Required Skills

Robotics SDK integrationPythonC++ROS2Machine LearningCamera CalibrationData Collection PipelinesPyTorchWeights & Biases

Key Responsibilities

Integrate and tune robotics hardware SDKs (Flexiv RDK in Python/C++, PIKA SDK), including impedance control, safety limits, teleoperation pipeline setup, and coordinate frame calibration.
Perform camera calibration and multi-camera synchronization across wrist cameras and external RealSense units, diagnosing timing/sync drift and frame alignment issues.
Build and maintain robust data collection pipelines for recording, storage, dataset formatting (LeRobot-compatible), and versioning to support reliable training runs.
Run ACT and Diffusion Policy training jobs and evaluation infrastructure, ensuring reliable policy evaluation and deployment.
Deploy learned policies on-robot, optimizing latency, and debugging sim/replay versus real-world performance gaps.
Write ROS2 nodes when beneficial, maintaining a lean and efficient robotics stack.

Qualifications

Master’s degree in engineering, robotics, computer science, or a related field
4+ years of experience building and deploying real robot systems on physical robotic arms
Experience integrating and tuning robotics hardware SDKs for robot arms (such as Flexiv RDK or PIKA SDK)
Proven ability to debug robot perception and calibration issues, including camera calibration, multi-camera synchronization, timing/sync drift, and frame alignment
Experience deploying learned policies on-robot and optimizing latency, including debugging sim/replay versus real-world performance gaps
Experience building and maintaining robotics data collection pipelines (recording, storage, dataset formatting, versioning)
Strong proficiency in Python for robotics development and working proficiency in C++ sufficient to use and modify robotics SDK examples
Hands-on experience with ROS2, and ML training using PyTorch and Weights & Biases
Business-fluent English communication skills
Authorization to work in Canada
Availability to work during Eastern Time business hours

Benefits & Perks

Work with cutting-edge Vision AI & IoT solutions that power autonomous manufacturing, robotics, and industrial automation.
Opportunity to lead in a fast-growing AI company driving real-world impact in industrial AI adoption.
Travel opportunities to industrial sites, tech conferences, and research labs.
Collaborate with world-class engineers & AI experts in a dynamic, innovation-driven environment.

How to Apply

To apply for this role, click the Apply button on this page and follow the instructions.

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The manufacturing sector is rapidly integrating advanced AI and robotics to enhance efficiency and output. This role is pivotal in connecting sophisticated robotic hardware with intelligent AI policies. You will focus on seamless data flow from cameras and production lines to optimize factory operations. Key technical areas include robotics SDK integration, impedance control, camera calibration, and developing robust data collection pipelines. Your work will directly impact business ROI by improving uptime, quality, safety, and throughput, signaling a significant contribution to operational excellence.