* Conduct functional, integration, regression, and smoke testing of web products. * Test APIs, integrations, and microservice interactions. * Create and maintain test cases, checklists, and regression suites. * Write and maintain automated tests in Python and TypeScript/JavaScript. * Integrate automated checks into the CI/CD pipeline. * Collaborate with product managers, developers, and designers on implementation quality. * Test scraping processes, data pipelines, and distributed services in live environments. * Test retries, rate limits, partial failures, degradation of external sources, and process recovery. * Perform load and performance testing of critical services. * Contribute to automated quality gates and quality metrics. * Apply AI tools for test generation, log analysis, edge-case discovery, and regression automation.

Role Description 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. 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 [email protected] or contact us at (908) 505-3899. Learn more about Bright Vision Technologies at www.bvteck.com . 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.

• Design, develop, and maintain HiL test benches to support validation of autonomous driving software and system-level functionality • Define and execute test strategies, test cases, and validation plans based on system requirements, safety goals, and integration needs • Develop and maintain automated test scripts and frameworks to improve test coverage, repeatability, and efficiency • Integrate hardware and software components into HiL environments, managing interfaces, data flows, and synchronization across subsystems • Conduct verification and validation (V&V) activities in alignment with safety standards such as ISO 26262 • Support the integration and validation of new autonomy features across perception, sensor fusion, and vehicle control systems • Utilize tools and frameworks such as ROS/ROS2, CAN-based systems, and simulation platforms for testing and debugging • Analyze test results, investigate system-level issues, and collaborate cross-functionally to drive resolution • Document test procedures, results, and defects, and communicate findings to engineering and program stakeholders • Continuously improve HiL infrastructure, tooling, and workflows to support scalable and efficient testing

• Design, develop, maintain, and enhance scalable, reusable, and maintainable test automation frameworks, including data-driven, keyword-driven, hybrid, and BDD frameworks. • Improve test coverage and execution efficiency through robust automation framework design. • Develop and maintain automated test scripts for web, mobile, desktop, API, and microservices applications. • Write clean, maintainable, and production-quality automation code. • Develop reusable testing utilities and libraries. • Participate in code reviews and continuously improve code quality, maintainability, and scalability. • Design, develop, and execute automated RESTful and GraphQL API tests. • Validate business logic, authentication, authorization, and request/response payloads. • Perform database validation using SQL and NoSQL databases to verify application data integrity. • Integrate automated tests into CI/CD pipelines using Jenkins, Azure DevOps, GitHub Actions, or GitLab CI. • Analyze pipeline failures, improve test reliability, and ensure stable automated test execution. • Participate in requirements analysis, design reviews, sprint planning, and other Agile ceremonies to identify quality risks early. • Ensure quality throughout the SDLC by collaborating with cross-functional teams during Agile development. • Develop test strategies, test plans, and quality metrics to improve application quality and automation adoption. • Collaborate with development teams to improve application testability and drive automation best practices. • Support performance, load, stress, scalability, and basic security testing. • Identify bottlenecks and recommend performance improvements. • Create and maintain reusable test data, manage test environments, and support service virtualization for reliable testing. • Collaborate with Product Owners, Developers, QA Engineers, DevOps Engineers, and Solution Architects to deliver high-quality software. • Provide accurate effort estimates, mentor junior engineers, and promote quality engineering best practices across the team. • Monitor automation execution results, perform root cause analysis, maintain quality dashboards, and recommend process improvements to enhance product quality and delivery efficiency.