ZipRecruiter

Log In

1

Depth Vision Slam Engineer Jobs (NOW HIRING)

Quidient

SLAM Engineer

Columbia, MD

$175K - $230K/yr

... depth - with drift correction and relocalization for production capture workflows. * Improve ... Master's, or PhD in Computer Science, Computer Vision, Robotics, or a related field - or equivalent ...

Quidient

SLAM Engineer

Columbia, MD · On-site

$175K - $230K/yr

... depth - with drift correction and relocalization for production capture workflows. * Improve ... Master's, or PhD in Computer Science, Computer Vision, Robotics, or a related field - or equivalent ...

Quid, Inc.

SLAM Engineer

Columbia, MD · On-site

$175K - $230K/yr

... depth -- with drift correction and relocalization for production capture workflows. * Improve ... Master's, or PhD in Computer Science, Computer Vision, Robotics, or a related field -- or ...

Sunday Inc

SLAM Engineer

Redwood City, CA · On-site

As a SLAM Engineer, your work will be essential in enabling our home robot to navigate safely in ... Experience with vision-only or lidar-based SLAM pipelines * Deep understanding of spatial math ...

Bleum USA, Inc.

Machine Vision Engineer

Englewood, CO · On-site

We will be experimenting with Lidar, Stereo Vision, SLAM, BlueTooth Beacon and others. Qualifications Have a masters or PHD in field relevant to machine vision or a demonstrated track of self ...

Bleum USA, Inc.

Machine Vision Engineer

Englewood, CO · On-site

We will be experimenting with Lidar, Stereo Vision, SLAM, BlueTooth Beacon and others. Qualifications Have a masters or PHD in field relevant to machine vision or a demonstrated track of self ...

Weave Robotics, Inc.

What you'll bring Strong vSLAM expertise: 3+ years' experience building vision-based SLAM and ... Experience with learned or end-to-end approaches to visual odometry, localization, mapping, depth ...

Lyte

Senior Camera & Vision Engineer

Sunnyvale, CA · On-site

$150K - $300K/yr

We are looking for a Senior Camera & Vision Engineer to lead the development of camera-based ... Background in depth estimation, stereo vision, SLAM, or visual-inertial systems * Experience with ...

Nexxa.ai

AI Vision Engineer

San Francisco, CA · On-site

Familiarity with 3D vision, SLAM, or sensor fusion (e.g., camera + LiDAR) for industrial or ... An engineer who is curious, adaptable, and eager to learn emerging vision and AI technologies. * A ...

Nexxa.AI

AI Vision Engineer

San Francisco, CA · On-site

Familiarity with 3D vision, SLAM, or sensor fusion (e.g., camera + LiDAR) for industrial or ... An engineer who is curious, adaptable, and eager to learn emerging vision and AI technologies. * A ...

next page

Showing results 1-20

All JobsDepth Vision Slam Engineer Jobs

Depth Vision Slam Engineer information

See salary details

$59.5K

$111.6K

$203K

How much do depth vision slam engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for depth vision slam engineer in the United States is $111,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $132,500.00 per year, depending on experience, location, and employer.

What are popular job titles related to Depth Vision Slam Engineer jobs?

For Depth Vision Slam Engineer jobs, the most frequently searched job titles are:

SLAM Engineer

Columbia, MD

Quidient
Software Development • 11 - 50 employees
Learn more about Quidientexternal

$175K - $230K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 24 days ago

Job description

Overview

Quidient is hiring a SLAM Engineer to advance the on-device visual-inertial SLAM system that powers our mobile capture experience. This role is central to how everyday users capture the world using their phones. You will enhance the live tracking pipeline running on mobile, pushing the limits of accuracy, robustness, and real-time AR visualization across a wide range of real-world scenarios - going well beyond what platform-provided solutions can deliver.

This is a hybrid position, meaning that you will need to live within easy driving distance to our Technology Center in Columbia, Maryland.

What You'll DoReal-time SLAM & Sensor Fusion
  • Develop and advance our on-device visual-inertial odometry and VI-SLAM pipeline - including sensor fusion across multi-camera streams, IMU, and depth - with drift correction and relocalization for production capture workflows.
  • Improve robustness across the full range of real-world user behavior - low-light, fast motion, textureless environments, and difficult geometry.
  • Drive down latency and memory footprint on mobile hardware, offloading compute to GPU where possible. Direct experience with GPU programming (Metal shaders, CUDA kernels, or equivalent) is a strong advantage.
  • Develop and extend calibration pipelines covering camera intrinsics, extrinsics, IMU biases, and time synchronization across multi-sensor mobile configurations.
Research Integration & Evaluation
  • Collaborate with the team's deep learning expertise to evaluate and selectively integrate learning-based methods alongside classical components in the live tracking stack.
  • Build and extend evaluation methodology grounded in real user captures.
  • Translate research progress into shipped capability in a fast-moving environment.
What You BringMust-Have Qualifications:
  • Master's, or PhD in Computer Science, Computer Vision, Robotics, or a related field - or equivalent demonstrated experience.
  • Significant hands-on experience developing or substantially improving a real-time visual-inertial odometry or VI-SLAM system, with a strong emphasis on camera-based pipelines.
  • Strong C++ (modern, performance-aware) and Python (tooling, prototyping, ML work).
  • Deep working knowledge of multiview geometry, nonlinear estimation, inertial sensing, and the practical failure modes of real-time tracking on resource-constrained devices.
  • Real experience with sensor calibration on real hardware.
  • Ability to read the deep learning literature critically and openness to integrating learned components over time.
  • Willingness to work on-site in Columbia, MD, in a hybrid capacity.
  • Meet Quidient, customer, and government security requirements, which may include, but are not limited to a background check, citizenship verification, and Criminal Justice Information Services verification.
Nice-to-Have Qualifications:
  • Experience with mobile SLAM or VIO on iOS or Android (iPhone strongly preferred). Familiarity with constrained-system development including ARM, threading, memory profiling, and power-aware design.
  • Direct GPU programming experience - Metal shaders, CUDA kernels, or GPU compute APIs - for offloading SLAM or vision workloads on mobile hardware.
  • Experience with multi-camera and multi-sensor fusion (RGB, depth, IMU) in a mobile or embedded context.
  • Track record of shipping SLAM or visual odometry systems in production on mobile or embedded platforms.
  • Contributor to open-source SLAM or VIO projects (OpenVINS, ORB-SLAM, VINS-Mono, or similar).
What We OfferCompensation:
  • Salary Range: $175,000 - $230,000.
  • Annual bonus and equity as appropriate.
Benefits:
  • Health insurance
  • HSA
  • 401(k) with company match
  • Life & disability insurance
  • Paid holidays & generous PTO
  • Opportunities for bonuses, equity, and career growth
Equal Opportunity Employer Statement

Quidient is an Equal Opportunity Employer. Quidient will consider all qualified applicants without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other classification protected by applicable state, federal, or local laws.

Apply