Maneva is pioneering vision-to-action AI solutions for manufacturers, leveraging camera and production data to optimize factory-floor operations. As a Robotics Engineer (Contractor), you will play a critical role in integrating advanced robotics hardware and software, ensuring seamless data collection and real-world deployment of AI-driven policies. You will collaborate closely with a deployment engineer and contribute to the development and optimization of robotic systems that drive uptime, quality, safety, and throughput for industrial clients. Key responsibilities include: - Integrating and tuning robotics hardware SDKs (Flexiv RDK in Python/C++, PIKA SDK), including impedance control, safety limits, teleoperation pipeline setup, and coordinate frame calibration. - Performing camera calibration and multi-camera synchronization across wrist cameras and external RealSense units, diagnosing timing/sync drift and frame alignment issues. - Building and maintaining robust data collection pipelines for recording, storage, dataset formatting (LeRobot-compatible), and versioning to support reliable training runs. - Running ACT and Diffusion Policy training jobs and evaluation infrastructure, ensuring reliable policy evaluation and deployment. - Deploying learned policies on-robot, optimizing latency, and debugging sim/replay versus real-world performance gaps. - Writing ROS2 nodes when beneficial, maintaining a lean and efficient robotics stack. This contract position offers the opportunity to make a direct impact on Maneva's industrial AI adoption, working in a fast-paced, innovation-driven environment with world-class engineers and AI experts.

Summary We’re Blue River, a team of innovators driven to create intelligent machinery that solves monumental problems for our customers. We empower our customers – farmers, construction crews, and foresters - to implement safer and more sustainable solutions, driving increased profitability with less reliance on scarce labor. We believe that focusing on the small stuff – pixel-by-pixel and task-by-task - leads to big gains. Blue River Technology is based in Santa Clara, CA. Job Responsibilities - Develop simulation infrastructure in support of digital-twin simulation efforts, enabling testing and fast debug cycles. - Define job site mapping workflow and develop tools to map job sites - Work with related engineering teams to shape tool development for production or raw or semi-raw sensor inputs appropriate for simulation use cases - Support and contribute to the development of C++ and Python robotics software. - Design and support tools to visualize camera geometry, fields of view, and overlaps within multi-camera systems. Requirements - Bachelor’s degree in a STEM discipline plus 5 years of related experience. - Required skills: - Develop camera visibility models incorporating camera intrinsics, distortion correction, extrinsics, and mechanical tolerances using Blender and OpenCV (4 yrs). - Design and deploy distributed simulation systems using AWS cloud-based web services to enable scalable digital-twin environments with remote sensor data ingestion and real-time visualization (any amount of experience). - Define and extend onboard and machine-to-machine communications using MQTT and DDS middleware and Protobuf and OMGIDL message schemas for publish-subscribe and request-reply communication models (1 yr, 6 mos). - Develop real-time simulation tools utilizing ray tracing-based software to drive perception inputs (1 yr). - Create and maintain relevant Bazel build targets to support scalable, reproducible, and efficient builds for multiple compute architectures across complex codebases (1 yr) - 100% remote working allowed; can live anywhere in the US; periodic visits to the office required. Up to 10% domestic travel required for engineering testing. The US annual base salary range for this position is $187,762 - $228,000, along with eligibility for Blue River’s bonus and benefit programs. Please visit https://bluerivertechnology.com/join-us/ to apply. #LI-DNI

• Design, develop, test, and deploy UiPath-based automation solutions. • Participate in process discovery and requirements gathering with internal teams and customers. • Contribute to solution design discussions and provide technical input on automation approaches. • Build and maintain UiPath workflows following established development standards and best practices. • Support the integration of AI-enabled tools and platforms (e.g., Anthropic, ChatGPT, Copilot) into automation solutions, as applicable. • Implement appropriate exception handling, logging, and monitoring. • Deploy and manage automations using UiPath Orchestrator (On-Prem & Automation Cloud), including scheduling and troubleshooting. • Create and maintain process and technical documentation (PDDs, SDDs, user guides). • Participate in code reviews and knowledge-sharing activities. • Manage assigned work with minimal supervision while collaborating closely with the broader automation team. • Stay current with automation, AI, and low-code technologies and recommend incremental improvements.

• Design, build, and iterate on MuJoCo simulation environments for robotics research and AI training • Implement and tune RL algorithms (PPO, SAC, TD3) to train agents on simulated tasks • Define reward functions, observation spaces, and action spaces that produce robust, transferable policies • Debug and optimize physics simulations — contact models, actuator dynamics, scene configs • Evaluate trained policies for stability, generalization, and sim-to-real transfer potential • Document environment specs, training procedures, and experimental results clearly • Collaborate async with research teams and stay current with advances in robot learning and embodied AI