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Remote Slam Engineer Jobs in Georgia (NOW HIRING)

Remote Slam Engineer information

What engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, data engineering, or cloud engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and working in high-demand industries or companies. Roles often require expertise in programming, system architecture, or management, along with relevant certifications and a strong track record of performance.

How can I make $100,000 a year working from home?

A Remote Slam Engineer can reach a $100,000 annual income by gaining specialized skills in audio processing, building a strong portfolio, and working for high-paying clients or companies. Increasing experience, obtaining relevant certifications, and leveraging freelance platforms can also help achieve this income level while working remotely.

What are some common challenges faced by remote SLAM Engineers and how can they be addressed?

Remote SLAM Engineers often face challenges related to effective collaboration with cross-functional teams, such as robotics hardware specialists and software developers, especially when working across time zones. Communicating complex spatial problems and debugging remotely can be difficult without hands-on access to hardware. To address these challenges, many teams rely on robust documentation, frequent video meetings, and shared simulation environments to facilitate testing and feedback. Building strong communication skills and proactively sharing progress can help remote SLAM Engineers integrate smoothly and contribute effectively.

What jobs make $3,000 a day?

High-paying jobs that can earn $3,000 a day include specialized roles such as remote Slam Engineers, senior software developers, certain consulting professionals, and high-level executives. These positions often require advanced skills, extensive experience, and sometimes certifications, with earnings influenced by project scope, industry, and workload.

What are the key skills and qualifications needed to thrive as a Remote SLAM Engineer, and why are they important?

To thrive as a Remote SLAM Engineer, you need a strong background in robotics, computer vision, and sensor fusion, typically supported by a degree in computer science, robotics, or a related field. Proficiency with tools and libraries such as ROS, OpenCV, PCL, and experience with LiDAR, IMU, and camera systems, as well as programming in C++ or Python, are commonly required. Strong problem-solving skills, self-motivation, and effective remote communication set top candidates apart. These skills ensure the development of accurate, real-time mapping and localization solutions in distributed teams and varied technical environments.

What is a Remote SLAM Engineer?

A Remote SLAM Engineer is a professional who specializes in Simultaneous Localization and Mapping (SLAM) technologies and works remotely, often for robotics, autonomous vehicles, or AR/VR applications. SLAM Engineers develop algorithms and software that allow machines to build maps of unknown environments while tracking their own location within those environments in real-time. Working remotely, they collaborate with teams using online tools and often contribute to software development, sensor integration, and testing. This role typically requires strong skills in computer vision, robotics, and programming.

What engineer makes $500,000 a year?

Highly experienced remote engineers in specialized fields such as software development, data engineering, or machine learning can earn $500,000 or more annually, especially with senior roles, leadership positions, or in high-demand industries. Achieving this level typically requires advanced skills, certifications, and a strong track record of impactful work.
What are the most commonly searched types of Slam Engineer jobs in Georgia? The most popular types of Slam Engineer jobs in Georgia are:
What are popular job titles related to Remote Slam Engineer jobs in Georgia? For Remote Slam Engineer jobs in Georgia, the most frequently searched job titles are:
What cities in Georgia are hiring for Remote Slam Engineer jobs? Cities in Georgia with the most Remote Slam Engineer job openings:

Robotics Perception Engineer

Slip Robotics

Atlanta, GA • On-site, Remote

Full-time

Medical, Dental, Vision

Re-posted 14 days ago


Job description

About Slip Robotics
Slip Robotics is transforming freight logistics with autonomous robotic systems that load and unload trailers faster, safer, and more reliably than traditional methods. Our robots operate in demanding real-world environments alongside people and heavy cargo every day. We are a small, high-impact team based in Atlanta building products that are already deployed in production.
The Role
We are looking for a Robotics Perception Engineer to own the sensing and perception stack on our autonomous mobile robots. You will work across LiDAR, cameras, IMUs, and other sensor modalities to give our robots a reliable understanding of their environment-including trailers, pallets, dock infrastructure, and people. This is a hands-on role where your work ships to production robots operating in live freight facilities.
We need someone who has shipped software on real robots at real customer sites. You should have experience deploying perception systems that work reliably in unstructured or semi-structured environments, and you should be comfortable debugging sensor issues on physical hardware.
Key Responsibilities
  • Design, implement, and maintain the perception pipeline for autonomous mobile robots, including object detection, segmentation, localization, and mapping
  • Integrate and calibrate LiDAR, depth cameras, and other sensors on production robot platforms
  • Develop robust point cloud processing and filtering for reliable operation
  • Build and maintain sensor fusion systems that combine multiple modalities for accurate environment understanding
  • Create and manage datasets for perception model training, validation, and regression testing
  • Collaborate closely with navigation, controls, and hardware teams to ensure perception outputs meet downstream requirements
  • Debug and resolve perception failures on deployed robots using logs, recorded sensor data, and on-site investigation
  • Contribute to CI/CD pipelines for perception software testing and deployment

Requirements
  • 5+ years of professional experience building perception systems for physical robots at a robotics or autonomous vehicle company
  • Strong proficiency in C++ and Python
  • Deep experience with LiDAR processing (point cloud filtering, clustering, registration, SLAM)
  • Hands-on experience with camera-based perception
  • Production experience with ROS or ROS 2
  • Experience with sensor calibration (intrinsic, extrinsic, multi-sensor)
  • Familiarity with machine learning frameworks (PyTorch, TensorFlow) for perception tasks
  • Track record of deploying perception software to real robots in real environments-not just simulation
  • Strong debugging skills and comfort working with physical hardware
  • Excellent communication skills and ability to work in a small, fast-moving team
Nice to Have
  • Master's degree or higher in Computer Science, Robotics, or a related field
  • Experience with AWS IoT, Greengrass, or similar edge-cloud architectures
  • Experience in logistics, warehousing, or freight environments
  • Background in Gazebo or other physics simulation for sensor modeling
Remote Work Requirements
This role can be filled remotely. Remote team members are expected to have reliable high-speed internet access and a dedicated workspace. You will need to travel to our Atlanta facility periodically for hardware integration and testing. A company laptop and necessary peripherals will be provided.
Benefits
  • Competitive salary and equity in an early-stage robotics company
  • Comprehensive benefits including health, dental, and vision
  • Permissive time off policy
  • A small team where your work has direct, visible impact on shipped products
  • The chance to work on robots that are operating in production today-not a research project