Robotics Engineer – Remote
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: Robotics Engineer Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $100,000–$150,000 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 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.
Key Responsibilities- Develop robotics software in C++ and Python, with strong attention to real-time performance and reliability.
Design and integrate sensor data pipelines including cameras, LiDAR, IMUs, and proprioceptive sensors.
Implement perception, localization, and mapping algorithms including SLAM and sensor fusion, integrating data from cameras, LiDAR, IMUs, and other sensors into robust real-world state estimation.
Develop motion planning, control, and trajectory generation algorithms that respect kinematic and dynamic constraints while delivering smooth, predictable, and safe robot behavior in production environments.
Build behavioral systems using state machines, behavior trees, or task planners.
Integrate ROS / ROS 2 frameworks with custom hardware and embedded systems.
Implement safety-critical patterns including watchdogs, fault detection, and safe stops.
Build simulation environments (Gazebo, Isaac Sim) for development and testing.
Collaborate closely with mechanical, electrical, and ML engineers, gathering requirements, aligning on technical approach, and ensuring that delivered solutions meet both functional needs and broader engineering and operational standards.
Design and execute field tests, including data collection and post-test analysis.
Maintain comprehensive, current technical documentation — including architecture diagrams, design decisions, configuration references, runbooks, and operational procedures — so that the system remains supportable, auditable, and easy to onboard new engineers onto over time.
Mentor and coach junior and mid-level engineers through code review, design review, pair programming, and structured knowledge sharing, helping the broader team grow in technical maturity and confidence over time.
Continuously evaluate emerging robotics technologies and frameworks, assessing maturity, fit for purpose, and total cost of ownership, and make grounded recommendations on which to adopt, pilot, or defer based on real engineering needs. Required Qualifications- Bachelor’s or Master’s degree in Robotics, Computer Science, Electrical Engineering, or a related field.
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 techniques.
Experience with simulation environments (Gazebo, Isaac Sim, MuJoCo).
Strong debugging skills in real-time and concurrent systems.
Excellent communication and documentation skills.
Experience supporting field tests and hardware integration. Preferred Qualifications- Advanced degree in Robotics or related field.
Exposure to autonomous vehicles, drones, or industrial automation.
Experience with safety-critical software (ISO 26262, IEC 61508).
Familiarity with ML-based perception pipelines.
Open-source contributions in robotics. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to hilda@bvteck.com. Learn more about Bright Vision Technologies at www.bvteck.com. Bright Vision Technologies is an Equal Opportunity Employer. Equal Employment Opportunity (EEO) Statement
Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.
BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. The company leverages cutting-edge technologies including large language models, AI-powered architectures, and enterprise integration platforms to create scalable, secure, and user-friendly applications. They specialize in LLM-based application architectures, prompt engineering strategies, and enterprise system integrations such as Coupa procurement solutions. The company is actively expanding its AI and machine learning capabilities while maintaining a focus on production-grade implementations across multiple business domains.
