Design, program, integrate, and deploy industrial robotic solutions (palletizing, picking, goods-to-person) for fulfillment and manufacturing. Work includes robot programming, systems integration with conveyors and vision, simulation, commissioning troubleshooting, cycle-time optimization, and cross-disciplinary collaboration.
This is a remote position.
This role supports both active client engagements and upcoming automation projects. Qualified candidates will be considered for immediate openings as well as future opportunities aligned to system implementations, upgrades, and expansion initiatives.
Overview
This role drives industrial automation initiatives through the development and deployment of robotic solutions designed to improve operational efficiency, accuracy, and scalability within fulfillment and manufacturing environments.
- Program, configure, and deploy industrial robots (Fanuc, ABB, KUKA, Universal Robots)
- Integrate robotic systems with conveyors, vision systems, and controls platforms
- Develop and test robotic applications for palletizing, picking, and goods-to-person systems
- Optimize robotic cycle times, accuracy, and throughput performance
- Support simulation and modeling for system validation prior to deployment
- Troubleshoot robotic and integration issues during commissioning and production
- Collaborate with controls, software, and mechanical engineering teams
Requirements
Qualifications
- 3–7+ years of robotics engineering or automation experience
- Proficiency in robot programming and system integration
- Experience with vision systems, sensors, and EOAT design
- Knowledge of ROS, Python, or C++ preferred
- Experience in high-volume fulfillment or industrial environments
Location: Remote or based at client sites depending on project requirements.
Similar Jobs
.png)
Artificial Intelligence • Computer Vision • Machine Learning • Robotics • Software
Build and maintain robotics software for simulation and real robotic arm hardware across motion planning, control, perception, and manipulation. Prototype ideas, harden successful systems for deployment, and develop tests and metrics to measure robot performance and prevent regressions. The role requires ownership, cross-functional collaboration, and practical expertise in robotics software development.
Top Skills:
C++GazeboGitMujocoPythonRosRos2
Artificial Intelligence • Information Technology • Software • Consulting
Design, build, and integrate software for autonomous robots across sensor integration, motion planning, perception, localization, control, and behavioral systems. Develop production robotics software using C++, Python, and ROS/ROS 2; debug real-time systems; integrate hardware and support field tests. Collaborate with cross-functional teams, conduct design and code reviews, document solutions, and mentor junior engineers.
Top Skills:
C++Concurrent SystemsGazeboIec 61508Isaac SimIso 26262Kalman FiltersMujocoParticle FiltersPythonReal-Time SystemsRosRos 2Sensor Fusion
Robotics
Designs, develops, tests, and maintains robotics middleware and application frameworks in modern C++ on embedded Linux. Owns platform components through deployment and fleet operation, improves reliability and performance, diagnoses complex concurrency and systems issues, and translates safety requirements into software behavior and verification. Collaborates across autonomy, systems, hardware, and software teams while leading technical reviews and mentoring engineers.
Top Skills:
C++C++17Cap'N ProtoEmbedded LinuxFlatbuffersInterprocess CommunicationMultithreadingNetworkingNvidia JetsonProtocol BuffersRpc
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
