Solid understanding of LiDAR-based SLAM algorithms (e.g., Cartographer, LOAM, LIO-SAM, HDL Graph ... Understanding of sensor synchronization, timestamp alignment, and coordinate transformations.
Solid understanding of LiDAR-based SLAM algorithms (e.g., Cartographer, LOAM, LIO-SAM, HDL Graph ... Understanding of sensor synchronization, timestamp alignment, and coordinate transformations.
... of algorithms and analytics for operational optimization of water distribution, wastewater ... sensor data and hydraulic models. * Communicate and collaborate with teams of engineers and ...
... of algorithms and analytics for operational optimization of water distribution, wastewater ... sensor data and hydraulic models. * Communicate and collaborate with teams of engineers and ...
Sensor Algorithm Engineer information
See Hartford, CT salary details
$60K - $73.2K
14% of jobs
$81K is the 25th percentile. Wages below this are outliers.
$73.2K - $86.3K
19% of jobs
$86.3K - $99.5K
12% of jobs
The median wage is $104K / yr.
$99.5K - $112.7K
17% of jobs
$112.7K - $125.8K
12% of jobs
$128.1K is the 75th percentile. Wages above this are outliers.
$125.8K - $139K
14% of jobs
$139K - $152.1K
7% of jobs
$152.1K - $165.3K
3% of jobs
$165.3K - $178.5K
0% of jobs
$178.5K - $191.6K
1% of jobs
$191.6K - $204.8K
2% of jobs
$60K
$112.6K
$204.8K
How much do sensor algorithm engineer jobs pay per year?
As of May 28, 2026, the average yearly pay for sensor algorithm engineer in Hartford, CT is $112,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,200.00 and $133,700.00 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.
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 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?
| Aspect | Sensor Algorithm Engineer | Signal Processing Engineer |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Electrical Engineering, Computer Science, or related fields; knowledge of sensor systems | Bachelor's or Master's in Electrical Engineering, Computer Science, or related fields; expertise in signal processing techniques |
| Work Environment | Develops algorithms for sensors in automotive, consumer electronics, or industrial applications | Designs and implements signal processing algorithms across various industries including communications and audio |
| Employer & Industry Usage | Used by companies developing sensor-based systems like IoT devices, autonomous vehicles, and robotics | Common 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.
Other
Medical, Life, Retirement
Posted 18 days ago
Job description
At Dexory, we build, deploy, and operate autonomous robots that transform logistics and warehouse operations. In just six months, we went from the first CAD model to a deployed robot at a customer site in May 2023. Two years later, we've built and deployed over 150 robots, grown from a team of 10 to more than 250 people, and continue to scale at startup speed.
Our ambition now is to scale our robotics and autonomy stack to hundreds, soon thousands, of robots operating in dynamic, real-world environments. As a Robotics Engineer at Dexory, you'll help us make that possible: designing systems that can be deployed every two weeks to our global fleet, with zero manual customisation.
The challenge is immense: how do you build a scalable, reliable robotics core that powers a rapidly growing Robot-as-a-Service platform? If solving that at speed excites you, you'll feel right at home here. When you apply, provide a few sentences why you think you're the right person for this role.
*We value the right attitude, humility and we're as interested in your character as we are in your talent. Please apply, even if you feel you only meet part of our listed criteria. Diversity drives innovation and we offer an international and friendly work environment with an energetic company culture.
What does this role involve?- Developing and maintaining autonomy software for real-world robotic systems
- Working with ROS 2, using modern C++ (17/20), and Python
- Developing and maintaining our lidar odometry
- Developing and maintaining our lidar-based SLAM approaches (we need a few)
- Collaborating with deployment teams to support complex field operations
- Occasionally travel for hands-on deployment support
- Solid understanding of LiDAR-based SLAM algorithms (e.g., Cartographer, LOAM, LIO-SAM, HDL Graph SLAM, etc.)
- Experience with pose graph optimization, scan matching, and sensor fusion
- Familiarity with Open3D or PCL for point cloud processing.
- Understanding of state estimation frameworks (e.g., EKF, UKF, graph-based methods, or factor graphs).
- Evidence of past work: open-source contributions, competition results, or deployed systems
- Experience integrating 3D and 2D LiDARs (Ouster, Velodyne, Hesai, Livox, SICK, etc.).
- Knowledge of calibration (LiDAR-IMU, LiDAR-camera, LiDAR-robot base).
- Understanding of sensor synchronization, timestamp alignment, and coordinate transformations.
- Ability to design and validate sensor placement for optimal coverage and robustness.
- Solid experience with ROS 2, C++, and Python
- Familiarity with Linux, Git, CI/CD, and containerisation
- Willingness to travel for hands-on deployment (when needed)
- Strong communication and collaboration skills
- Expertise in design robotic software at scale
- Experience with Lidar-based segmentation, or other perception pipelines
- Contributions to open-source robotics projects
- Participation in competitions like RoboCup, Formula Student AI, or DARPA challenges
Starting from the interview process and continuing into your career with us, you will be working by our four Operating Principles:
- Performance: High standards, outstanding results,
- Impact: Big challenges, bigger results
- Commitment: All in, every time
- One team: One mission, shared success
Joining our team and company isn't just about expertise; it's about embracing uncertainty with ambition. We're crafting world-changing solutions, fueled by a passion to redefine what's possible. We will look for you to help create and shape the future of logistics solutions through our products, our culture and our shared vision.
You will also receive:
- Private healthcare via Bupa with 24/7 medical helpline
- Life insurance
- Income protection
- Pension: 4+% employee with option to opt into salary exchange, 5% employer
- Employee Assistance Programme - mental wellbeing, financial and legal advice/support
- 25 holidays per year
- Full meals onsite in Wallingford
- Fun team events on and offsite, snacks of all kinds in the office
Dexory provides equal employment opportunities to all employees and applicants for employment. It prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, or any other characteristic protected by local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training
Please note: We are unable to provide sponsorship or relocation for this role.