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Navigation Engineer Jobs in New York (NOW HIRING)

Ryvn

Founding Software Engineer

Manhattan, NY · On-site

... • Navigate engineering decisions thoughtfully -- balancing short-term velocity with long-term scalability and impact Qualifications : Required : • 3+ years of software development experience ...

Ryvn

Founding Software Engineer

New York, NY · On-site

$160K - $250K/yr

Navigate engineering decisions thoughtfully -- balancing short-term velocity with long-term scalability and impact What We're Looking For * 3+ years of software development experience , ideally ...

Omnicom

Project Manager

New York, NY · On-site +1

Media Operations Plans and coordinates media operations in one or more areas (e.g., research, planning, technology, integration of new media, joint venture operations, network navigation, programming ...

Omnicom

Project Manager

New York, NY · Hybrid

Media Operations Plans and coordinates media operations in one or more areas (e.g., research, planning, technology, integration of new media, joint venture operations, network navigation, programming ...

Fortuna Health

Senior Software Engineer

Manhattan, NY · On-site

$134K - $177K/yr

Fortuna Health is redefining the consumer experience for Medicaid, helping millions navigate Medicaid end-to-end. As a Senior Software Engineer, you will play a crucial role in building the product ...

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Navigation Engineer information

See New York salary details

$39.9K

$129.4K

$184.2K

How much do navigation engineer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for navigation engineer in New York is $129,387.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,580.00 and $162,897.00 per year, depending on experience, location, and employer.

What is a navigation engineer?

A Navigation Engineer designs, develops, and maintains navigation systems for aerospace, marine, automotive, or robotic applications. They work with technologies like GPS, inertial navigation, and sensor fusion to ensure precise positioning and movement. Their role involves software development, algorithm design, and troubleshooting to improve navigation accuracy and reliability. These engineers often collaborate with other specialists in aerospace, robotics, or transportation industries.

What are the key skills and qualifications needed to thrive as a navigation engineer?

To excel as a Navigation Engineer, you need strong analytical skills, a background in engineering or computer science, and expertise in navigation algorithms and sensor integration. Experience with tools such as MATLAB, GNSS software suites, inertial navigation systems, and certifications like Professional Engineer (PE) or relevant industry credentials are valuable. Attention to detail, problem-solving ability, and effective teamwork and communication are important soft skills in this field. These qualifications are crucial for developing accurate, reliable navigation solutions and collaborating efficiently on multidisciplinary projects.

What are common challenges faced by navigation engineers in their daily work?

Navigation Engineers often face the challenge of ensuring precise positioning and navigation under varying environmental conditions, such as urban canyons or signal interference areas. They must troubleshoot and optimize complex sensor fusion algorithms to maintain system accuracy and reliability. This role typically requires close collaboration with software developers, hardware engineers, and project managers to implement robust solutions and quickly address technical issues as they arise. Staying up-to-date with the latest advancements in navigation technology is also key to meeting the evolving needs of clients or industries.

What does a navigation engineer do?

A navigation engineer designs, develops, and tests systems that determine and track the position and movement of vehicles or equipment, such as GPS or inertial navigation systems. They often work with sensors, algorithms, and software to improve accuracy and reliability, and may require knowledge of engineering principles, programming, and relevant certifications. Their work is essential in fields like aerospace, maritime, and autonomous vehicles.

What are the most commonly searched types of Navigation Engineer jobs in New York?

The most popular types of Navigation Engineer jobs in New York are:

What are popular job titles related to Navigation Engineer jobs in New York?

For Navigation Engineer jobs in New York, the most frequently searched job titles are:

What job categories do people searching Navigation Engineer jobs in New York look for?

The top searched job categories for Navigation Engineer jobs in New York are:

Navigation Engineer jobs near you
Infographic showing various Navigation Engineer job openings in New York as of August 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 86% In-person, and 14% Hybrid job distribution, with an average salary of $129,387 per year, or $62.2 per hour.

Computer Vision & Robotics Navigation Engineer

New York, NY • On-site

Mecka AI
See more jobs at Mecka AIexternal

$150K - $185K/yr

Full-time

Re-posted 17 days ago

Job description

About Mecka AI
Mecka AI is building the data infrastructure layer for robotics and embodied AI. We work with leading robotics companies and AI labs to collect, label, and validate the large-scale, real-world visual and spatial data used to train perception, manipulation, and control systems. Our work sits directly in the loop between raw sensor data, labeling pipelines, and deployed models.
About the Role
We are looking for a highly hands-on and product-oriented Computer Vision & Robotics Navigation Engineer to help us build the internal systems, algorithms, and tools that power our robotics data platform. Because this role involves hands-on testing, debugging, and local prototyping with our custom multi-sensor camera rigs, this is an on-site position based in our New York City office.
In this role, you will be the primary owner responsible for maintaining and improving our numerous SLAM and SfM systems across a variety of devices, including our custom camera rigs and iPhones. You will be deeply involved in the practical side of spatial computing-handling IMU noise modeling, sensor synchronization, and collaborating closely with our hardware team in China to ensure rigorous camera and sensor calibrations.
Beyond your core navigation focus, you will also act as the central hub for general computer vision support throughout the company. If you are passionate about multi-view geometry, enjoy building custom tooling to visualize complex trajectories, care deeply about data quality, and want your work to directly impact real robots-this role is for you.
What You'll Do
  • Own the Navigation Systems: Act as the main engineer responsible for maintaining, optimizing, and improving our multiple SLAM and Structure from Motion (SfM) pipelines.
  • Sensor Calibration & Hardware Collaboration: Define, validate, and troubleshoot rigorous intrinsic and extrinsic calibration requirements for multi-camera setups and IMUs. You will communicate continuously with our hardware team in China-where the physical calibrations take place-while managing the algorithmic challenges of hardware-based SLAM locally, including temporal synchronization, rolling shutter correction, and IMU pre-integration.
  • Cross-Device Optimization: Ensure our spatial computing algorithms run robustly and accurately across a variety of hardware profiles, specifically our custom camera hardware and mobile devices (iOS/iPhone).
  • Company-Wide CV Support: Provide general computer vision expertise and support to various internal teams, assisting with pre- and post-processing, data validation, and automated labeling.
  • Design Internal Tooling: Ship custom tools (like Gradio or Rerun) to visualize images, video, 3D point clouds, and trajectories.
  • Debug & Inspect: Create interactive interfaces that help operations, annotators, and researchers inspect failure cases, understand edge conditions, and identify spatial labeling errors.
What We're Looking For
  • Deep Navigation Expertise: A strong background in 3D computer vision and multi-view geometry, with proven experience building, maintaining, or improving SLAM, VIO, and SfM pipelines.
  • Practical SLAM & Calibration Skills: Deep knowledge of IMU kinematics (noise density, random walk biases) and rigorous camera calibration techniques (checkerboard/AprilTag targets, lens distortion models), with the ability to effectively communicate these technical requirements to cross-border hardware teams.
  • Hardware Familiarity: Experience working with spatial data from diverse hardware sources, such as custom camera rigs and mobile devices (iOS/iPhone).
  • Mathematical Fundamentals: An intuitive grasp of linear algebra, optimization, and the first principles of traditional CV and spatial tracking.
  • Engineering Rigor: A proven track record of software development expertise, consistently delivering high-quality, clean, efficient, and scalable code (especially in C++ and Python).
  • Adaptability: Comfortable iterating with users, bridging communication across time zones, supporting company-wide CV needs, and working alongside noisy, unstructured, real-world sensor data.
Strong Plus
  • Hands-on experience building CV/spatial tooling or apps such as dataset browsers, annotation tools, model debugging dashboards, or Gradio-style demos.
  • Experience with standard calibration and sensor fusion frameworks (e.g., Kalibr).
  • Exposure to ML infrastructure or data pipelines operating at scale.
Tech Stack
  • Python and C++ (Crucial for robust navigation/SLAM pipelines)
  • 3D Vision, Calibration & Optimization libraries (e.g., OpenCV, Ceres Solver, GTSAM, COLMAP, Kalibr)
  • PyTorch and deep learning CV libraries
  • Video and image processing pipelines (FFmpeg, etc.)
  • Internal web tooling and visualization (Rerun)

Note: The exact stack matters less than your ability to build, debug, and ship impactful spatial tools and algorithms.
What Success Looks Like
  • Our custom camera and iPhone SLAM/SfM systems perform reliably and efficiently under your ownership.
  • You establish a seamless feedback loop with the China hardware team, ensuring sensor rigs are tightly calibrated and trajectory estimates remain robust against real-world hardware noise.
  • Internal teams rely on your tools, navigation ground-truth, and general CV support daily.
  • Customers trust Mecka's spatial data because the underlying algorithms and tooling are rock solid.
Who This Role Is Not For
  • Pure research roles with no production ownership.
  • Engineers looking for a remote or hybrid role-this requires physical presence with hardware testing in NYC.
  • Algorithm-only engineers who do not want to engage with the practical realities of hardware calibration, IMU noise, or cross-functional team communication.
Why This Role at Mecka?
  • Direct impact on how real robots are trained and navigate the world.
  • High ownership over core spatial data, multiple navigation systems, and CV support.
  • Close collaboration with leading robotics companies and AI labs.
  • The opportunity to build the multi-modal tooling layer that most teams wish they had.

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