Robotics Engineer
New York, NY · On-site
Experience deploying autonomous mobile robots and working with simultaneous localization and mapping (SLAM) * Experience with reinforcement learning and computer vision applied to robotics
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Robotics Engineer
New York, NY · On-site
Experience deploying autonomous mobile robots and working with simultaneous localization and mapping (SLAM) * Experience with reinforcement learning and computer vision applied to robotics
... localization workflows -- and ensuring those workflows drive measurable outcomes. This is not a ... Strategy & Value-Map Ownership You will: * Lead pre-sales technical discovery to understand ...
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... localization workflows -- and ensuring those workflows drive measurable outcomes. This is not a ... Strategy & Value-Map Ownership You will: * Lead pre-sales technical discovery to understand ...
Develop a tiered marketing strategy that maps to the unique needs and integration points of our key ... localization and activation. * Lead the development and execution of joint value propositions ...
New
Develop a tiered marketing strategy that maps to the unique needs and integration points of our key ... localization and activation. * Lead the development and execution of joint value propositions ...
New
Map Localization information
What are the key skills and qualifications needed to thrive as a Map Localization Engineer, and why are they important?
To thrive as a Map Localization Engineer, you need a strong background in robotics, computer vision, and algorithms, often supported by a degree in computer science, electrical engineering, or a related field. Proficiency with tools and frameworks such as ROS (Robot Operating System), SLAM (Simultaneous Localization and Mapping), and programming languages like C++ and Python is typically required. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for collaborating on complex projects and debugging localization systems. These skills are crucial for developing accurate and reliable localization solutions that enable autonomous navigation and mapping in real-world environments.
What are some common challenges faced by professionals working in map localization roles?
Professionals in map localization often encounter challenges such as managing the accuracy of real-time data from multiple sources and ensuring that maps remain up-to-date with constantly changing environments. Additionally, working with large volumes of geospatial data requires strong analytical and technical skills, especially when integrating information from LiDAR, GPS, and camera systems. Collaboration with cross-functional teams, such as software developers and robotics engineers, is essential to solve localization issues and to deliver reliable navigation solutions. Staying current with advances in localization algorithms and mapping technologies is also important for ongoing success in this field.
What is map localization?
Map localization is the process of determining a device's or vehicle’s precise position within a known map or environment. It is a crucial component in robotics, autonomous vehicles, and navigation systems, allowing them to understand their location relative to their surroundings. Accurate map localization enables systems to navigate safely, avoid obstacles, and perform tasks efficiently. This process often uses sensors like GPS, LiDAR, cameras, and algorithms such as SLAM (Simultaneous Localization and Mapping).
What is the difference between Map Localization vs GIS Technician?
| Aspect | Map Localization | GIS Technician |
|---|---|---|
| Required Credentials | GPS, GIS, or mapping software certifications | GIS certifications, degree in geography or related field |
| Work Environment | Fieldwork, outdoor mapping, mobile devices | Office-based, desktop GIS software |
| Employer & Industry Usage | Navigation apps, autonomous vehicles, outdoor mapping | Urban planning, environmental management, utilities |
| Search & Comparison Intent | Understanding field mapping roles | Technical GIS data management |
Map Localization focuses on real-time positioning and navigation, often in outdoor or mobile environments, using GPS and mapping tools. GIS Technicians handle spatial data analysis, map creation, and GIS software management primarily in office settings. While both roles involve geographic data, Map Localization emphasizes field-based positioning, whereas GIS Technicians focus on data processing and map development.
What are popular job titles related to Map Localization jobs in New York? For Map Localization jobs in New York, the most frequently searched job titles are:
What job categories do people searching Map Localization jobs in New York look for? The top searched job categories for Map Localization jobs in New York are:
What cities in New York are hiring for Map Localization jobs? Cities in New York with the most Map Localization job openings:
Full-time
Posted 9 days ago
Job description
Radical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability.
The opportunity
As a Software Engineer in the Robotics and Automation group at Radical AI, you will design and deploy systems to automate our material science research and discovery laboratory. You will specialize in robotics, automation, and perception software development.
Your experience and vision will shape both the physical and systematic implementation of lab automation. You will collaborate closely with Mechatronics, Mechanical Engineering and Material Scientists to meet rigorous and sometimes dynamic design requirements at a profound deployment speed.
Mission- Architect and develop software systems that control and orchestrate robotic workcells for autonomous materials experimentation
- Design scalable control frameworks for flexible automation involving robots, motion systems, sensors, and lab instruments
- Collaborate with hardware, mechatronics, and science teams to translate experimental workflows into reliable automated processes
- Build and maintain APIs and services for scheduling, execution, monitoring, and data capture
- Develop simulation, testing, and validation tools to accelerate development and ensure system reliability
- Integrate 2D and 3D vision systems (cameras, lighting, depth sensors) with robotic manipulation, motion planning, and execution
- Optimize system performance, robustness, and throughput under rapid iteration cycles
- Contribute to technical direction, architecture decisions, and best practices across the robotics, perception, and automation software stack
- Mentor junior engineers and help establish engineering standards in a fast-growing organization
- Bring an attitude of collaboration and open-mindedness, to facilitate fearless and creative problem solving skills that empowers our team to ship world class technology at an unprecedented speed.
- Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related field
- Four+ years of professional software engineering experience, with significant work in robotics or automation systems
- Strong proficiency in modern programming languages such as Python and C++
- Experience with robotic control frameworks (e.g., ROS/ROS2 or equivalent custom systems)
- Experience with physical simulation environments (e.g. MuJoCo, IsaacSim), and hardware-in-the-loop testing
- Solid understanding of motion planning, state machines, real-time or near-real-time control systems
- Experience integrating hardware systems including robots, sensors, vision systems, and industrial equipment
- Ability to work independently in a hands-on, development-oriented environment.
- Strong communication skills and ability to collaborate across engineering and scientific disciplines.
- Experience deploying autonomous systems in laboratory, manufacturing, or industrial environments
- Experience deploying autonomous mobile robots and working with simultaneous localization and mapping (SLAM)
- Experience with reinforcement learning and computer vision applied to robotics
- Familiarity with machine learning applied to robotics, experimentation, or optimization
- Prior startup experience or ownership of systems from early prototype through production
- A competitive compensation package also includes the best in benefits.
- Medical, dental, and vision insurance for you and your family
- Mental health and wellness support
- 14+ company holidays per year
- 401K
- Work closely with a team on the cutting edge of AI research.
- A mission: an opportunity to fundamentally change the way humanity makes progress through materials science discovery.
Salary Description
Competitive salary + Equity + Benefits; base pay offered may vary depending on job-related knowledge, skills, and experience.
Disclosure
Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.