Bright Vision Technologies Logo

Bright Vision Technologies

Robotics Solutions Engineer

Posted 2 Days Ago
Be an Early Applicant
In-Office
Mineola, NY
100K-150K Annually
Senior level
In-Office
Mineola, NY
100K-150K Annually
Senior level
Design, implement, and integrate full-stack robotics software (C++/Python) for perception, localization, mapping, motion planning, control, and safety. Work with sensors (LiDAR, cameras, IMU), ROS/ROS2, simulators, and hardware; run field tests, maintain documentation, and mentor junior engineers to deliver production-grade autonomous systems.
The summary above was generated by AI
Robotics Solutions 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 Solutions Engineer
Location: 100% Remote (United States)
Position Type: Full-time, Direct W2
Salary Range: $100,000–$150,000 Annually
Experience: 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 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.
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) 650-6699. Learn more about Bright Vision Technologies at www.bvteck.com. 
 
Bright Vision Technologies is an Equal Opportunity Employer. 

 

Similar Jobs

19 Days Ago
In-Office
New York, NY, USA
180K-225K Annually
Mid level
180K-225K Annually
Mid level
Artificial Intelligence • Big Data • Machine Learning
Pre-sales technical lead for robotics and autonomous driving customers: deliver demos and POCs, define multi-sensor data pipelines, write SOWs, collaborate on ground-truth implementation, influence product roadmap, run on-site workshops and pilots, and expand commercial relationships globally.
Top Skills: 2D Imaging3D ImagingAnnotationC++CalibrationCameraComputer VisionDigital TwinsGps/InsImuJavaLidarPythonRadarSensor FusionVlasVlmsWorld Models
An Hour Ago
Hybrid
New York, NY, USA
185K-300K Annually
Expert/Leader
185K-300K Annually
Expert/Leader
Fintech • Financial Services
Lead end-to-end data governance for Global Payments & Liquidity, build and manage a team, define governance strategy and roadmaps, ensure data quality, lineage, cataloging, controls, and remediation. Partner with enterprise data, risk, compliance, and technology to support audits, regulatory requirements, and large-scale transformation programs while embedding data ownership and accountability across the business.
An Hour Ago
Hybrid
100K-260K Annually
Senior level
100K-260K Annually
Senior level
Fintech • Financial Services
Originate, structure, and execute lease and loan financing for commercial clients in equipment finance. Source new relationships, grow an existing portfolio, lead moderately complex credit transactions from underwriting to funding, partner with coverage and product teams, provide market feedback, and mentor junior team members. Expected to deliver $30M+ in annual funded volume.

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account