$ cat jobs/embedded-robotics-engineer-bright-vision-technologies-555f31adab56.json
Embedded Robotics Engineer
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title: Embedded Robotics Engineer Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $125,000–$145,000 Annually Experience Required: 6+ years Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary: We are seeking an experienced Embedded Robotics Engineer to design, build, and integrate software systems that power autonomous robots and robotic platforms. In this role you will work across the full robotics software stack, from low-level sensor integration and motion planning to high-level perception and behavioral systems. The ideal candidate will combine strong software engineering fundamentals with deep working knowledge of robotics frameworks, real-time systems, and sensor fusion. In this role you will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers. The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production. Required Qualifications Five or more years of robotics software engineering experience. Strong programming skills in C++ and Python. Hands-on experience with ROS or ROS 2 in production projects. Solid experience with at least one of perception, localization, motion planning, or control. Familiarity with sensor fusion and Kalman/particle filter
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