The Systems Integration Engineer develops automation solutions for robotics, manages lab hardware and software, enhances testing methods, and collaborates on software architecture.
We are seeking a Systems Integration Engineer to join Autoroboto, an organization focused on productizing novel technologies for clients in AR/VR devices and the robotics industry. In this role, your job will center on developing automation solutions for cutting edge robotics projects.
Your responsibilities will include maintaining existing lab hardware and software systems, ensuring seamless automated data collection processes. Additionally, you will lead the development and maintenance of automation solutions aimed at enhancing testing methods, optimizing procedures to reduce duration, and boost throughput. You will be tasked with planning and executing trajectories for robotic arms utilized in data collection tasks, adapting to evolving use cases and requirements. Ownership of internal software tools crucial for automated data collection will be in your purview, where you'll ensure their functionality, reliability, and scalability. Collaboration with a tight-knit team of software engineers will be essential as you work together to enhance and sustain these internal tools. Moreover, your contribution to the overarching software architecture and design will be vital, focusing on scalability, performance, and maintainability. Your role will also involve active participation in code reviews, ensuring adherence to engineering standards and best practices, thereby fostering a culture of excellence and innovation within the team.
Autoroboto’s mission is to enable clients to create meaningful products. Our team combines the best of AI, Software, and Hardware to create radically helpful experiences for clients and their customers. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the team at Autoroboto is making our clients and their customers' lives better through technology.
Minimum Qualifications
- BS degree in CS/EE/CE or equivalent practical experience.
- 5+ years experience working in automation with robotics.
- Strong understanding of software development principles and practices.
- Strong understanding of 3d kinematics.
- Experience working in Python, Flutter and Dart
- Basic understanding of circuit diagrams and wiring.
- Ability to understand technical specifications to create and communicate actionable development plans.
- Effective communication skills and ability to convey technical concepts and ideas to team members from diverse backgrounds.
Preferred Qualifications
- Experience working with Kotlin and C++
- Understanding different methods of communication between hardware devices. ie tcp/ip, udp, serial.
Benefits include:
Health Insurance
Vision
Dental
Life
401k match
Tuition reimbursement
Paid maternity/paternity leave
Paid holidays per year
Paid vacation
AutoRoboto San Francisco, California, USA Office
San Francisco, California, United States, 94112
Similar Jobs
Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
Perform electrical verification and mechanical integration of spacecraft subsystems, author and execute test procedures and automated scripts, conduct environmental testing (EMI/C, dynamics, TVAC), validate requirements through V&V, document and resolve non-conformances, and coordinate with technicians, quality, and engineers in a cleanroom production environment.
Top Skills:
C++Computer Network ArchitectureDynamics (Vibration) TestingEmi/CEsd ProtectionLinuxPythonTvacVersion Control
Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
Lead satellite assembly, integration, and test activities through launch, develop and approve procedures, troubleshoot hardware/software integration, run environmental tests (EMI/C, Dynamics, TVAC), improve manufacturing throughput, monitor performance with statistical tools, and coordinate across programs, manufacturing, facilities, and quality to meet delivery targets.
Top Skills:
C++CadComputer Network ArchitectureDaq HardwareElectrical Power SuppliesJIRALinuxManufacturing Execution SystemsMrp/ErpMs ProjectMultimetersNi LabviewPower BIPythonSignal AnalyzersTableauTeamcenter/PlmVersion Control
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Senior technical lead for unmanned systems (UxS) integration and test readiness. Hands-on role integrating autonomy software with aircraft, onboard compute, radios, sensors, and ground equipment; leading platform evaluation, bench and field bring-up, troubleshooting, test execution, readiness criteria, and mentoring cross-functional teams to improve hardware-based autonomy validation and demonstrations.
Top Skills:
ArdupilotBashEmbedded SystemsLinuxMatlabMavlinkMission PlannerNetworkingPixhawk/Cube-Class Flight ControllersPx4PythonQgroundcontrol
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
