Robotics Software Engineer

Robotics Software Engineer

Job Title: Robotics Software Engineer Salary Range: 100k$/Annum-150k$/Annum Location: 100% Remote (Continental United States) Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor) Experience: 5+ years Sponsorship: No new H1B sponsorship available. H1B transfers welcomed for qualified candidates. Employment Type: Full-time, direct W2 with Bright Vision Technologies (no C2C, no 1099, no third-party) Engagement: Long-term, multi-year, aligned to the Bright Vision SOW delivery roadmap Compensation: Competitive base salary commensurate with experience, plus benefits.

Job Summary: We are seeking an experienced Robotics Software 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.