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Sensor Algorithm Engineer Jobs in Atlanta, GA (NOW HIRING)

... algorithms for advanced electronic warfare and sensor applications. A successful candidate will ... S. in Electrical Engineering, Applied Mathematics, Physics, or related discipline with 3-8+ years ...

Sr Advanced AI Engineer

Atlanta, GA

$100K - $138K/yr

Build algorithms for realtime decisionmaking using sensor, IoT, and industrial process data. * Data Engineering * Partner with Data Engineering teams on ETL workflows and data preparation for ...

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In addition, the researcher will often integrate the algorithms and control systems that are ... The Role The SAAM Group is seeking a Lead Program Manager with an engineering background to manage ...

Lead Program Manager

Atlanta, GA ยท On-site

$147K - $200K/yr

In addition, the researcher will often integrate the algorithms and control systems that are ... The Role The SAAM Group is seeking a Lead Program Manager with an engineering background to manage ...

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Sensor Algorithm Engineer information

See Atlanta, GA salary details

$57.2K

$107.4K

$195.2K

How much do sensor algorithm engineer jobs pay per year?

As of Jul 10, 2026, the average yearly pay for sensor algorithm engineer in Atlanta, GA is $107,351.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,400.00 and $127,400.00 per year, depending on experience, location, and employer.

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

To thrive as a Sensor Algorithm Engineer, you need a strong background in signal processing, sensor physics, and applied mathematics, often supported by a degree in electrical engineering, computer science, or a related field. Familiarity with programming languages such as Python or C++, tools like MATLAB, and experience with sensor data fusion systems are typically required. Strong analytical thinking, problem-solving, and effective communication skills help you collaborate across multidisciplinary teams and interpret complex data. These skills are essential to develop robust algorithms that ensure accurate sensor performance and drive innovation in fields like automotive, robotics, and consumer electronics.

What does a Sensor Algorithm Engineer do?

A Sensor Algorithm Engineer designs, develops, and tests algorithms that process data from various sensors, such as cameras, accelerometers, gyroscopes, or environmental sensors. Their work involves creating mathematical models and software to interpret sensor data for applications like robotics, autonomous vehicles, mobile devices, or IoT systems. They collaborate with hardware engineers and software developers to ensure accurate and reliable sensor performance. The role often requires expertise in signal processing, machine learning, and embedded systems.

What is the difference between Sensor Algorithm Engineer vs Signal Processing Engineer?

AspectSensor Algorithm EngineerSignal Processing Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Computer Science, or related fields; knowledge of sensor systemsBachelor's or Master's in Electrical Engineering, Computer Science, or related fields; expertise in signal processing techniques
Work EnvironmentDevelops algorithms for sensors in automotive, consumer electronics, or industrial applicationsDesigns and implements signal processing algorithms across various industries including communications and audio
Employer & Industry UsageUsed by companies developing sensor-based systems like IoT devices, autonomous vehicles, and roboticsCommon in telecommunications, audio engineering, and image processing sectors

While both roles involve algorithm development and require similar educational backgrounds, Sensor Algorithm Engineers focus on creating algorithms specifically for sensor data interpretation, whereas Signal Processing Engineers work on processing signals from various sources, including sensors, for broader applications.

How does a Sensor Algorithm Engineer typically collaborate with hardware and software teams during product development?

Sensor Algorithm Engineers often serve as a bridge between hardware engineers and software developers. They work closely with hardware teams to understand sensor specifications and limitations while collaborating with software teams to integrate algorithms into embedded systems or applications. Regular cross-disciplinary meetings and iterative testing are common, ensuring that sensor data is accurately interpreted and that the algorithms perform reliably under real-world conditions. This collaborative environment helps drive innovation and ensures that final products meet both technical and user requirements.
What are popular job titles related to Sensor Algorithm Engineer jobs in Atlanta, GA? For Sensor Algorithm Engineer jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Sensor Algorithm Engineer jobs in Atlanta, GA look for? The top searched job categories for Sensor Algorithm Engineer jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Sensor Algorithm Engineer jobs? Cities near Atlanta, GA with the most Sensor Algorithm Engineer job openings:
Robotics Navigation and Control Engineer

Robotics Navigation and Control Engineer

Slip Robotics

Atlanta, GA โ€ข On-site, Remote

Full-time

Medical, Dental, Vision

Re-posted 24 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 Navigation and Control Engineer to own the motion planning, path planning, and control systems on our autonomous mobile robots. Our robots navigate constrained spaces-inside trailers, across loading docks, and through active warehouse floors-carrying heavy loads with tight tolerances. This role is responsible for making that movement safe, precise, and reliable.
We need someone who has shipped navigation and controls software on real robots at real customer sites. You should have hands-on experience tuning controllers on physical hardware, dealing with wheel slip, load dynamics, and the gap between simulation and reality. Academic publications are great, but production deployment experience is what matters here.
Key Responsibilities
  • Design, implement, and optimize path planning and trajectory generation for autonomous mobile robots operating in constrained logistics environments
  • Develop and tune motion controllers (PID, MPC, or similar) for heavy-payload platforms with real-world dynamics
  • Implement obstacle avoidance and safety behaviors that work reliably around people and infrastructure
  • Own the localization stack, working with perception engineers to integrate sensor-based position estimates into the control loop
  • Build simulation models and validate them against real robot behavior for faster development iteration
  • Analyze and improve robot performance using field data, telemetry, and logs from deployed systems
  • Collaborate with perception, hardware, and cloud infrastructure teams to deliver integrated autonomy features
  • Contribute to CI/CD pipelines for controls software testing and deployment to the robot fleet

Requirements
  • 5+ years of professional experience developing navigation and control systems for physical robots at a robotics or autonomous vehicle company
  • Strong proficiency in C++ and Python
  • Deep understanding of motion planning algorithms (A*, D*, RRT variants, lattice planners, or similar)
  • Hands-on experience designing and tuning controllers for mobile robot platforms
  • Production experience with ROS or ROS 2 navigation stacks
  • Experience with localization techniques (EKF, particle filters, scan matching, visual odometry)
  • Demonstrated ability to bridge the sim-to-real gap-tuning algorithms that work on actual hardware, not just in simulation
  • Comfort analyzing system behavior from logs and telemetry data
  • Strong communication skills and ability to work effectively in a small team
Nice to Have
  • Master's degree or higher in Robotics, Controls, Mechanical Engineering, or a related field
  • Experience with model predictive control (MPC) or adaptive control approaches
  • Experience with AWS IoT, Greengrass, or edge computing for fleet-scale robot management
  • Familiarity with Gazebo, Isaac Sim, or other robotics simulation environments
  • Background in logistics, warehousing, or heavy-payload robotics
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, testing, and tuning on physical robots. A company laptop and necessary peripherals will be provided.
Benefits
What We Offer
  • 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