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Remote Sensor Fusion Engineer Jobs (NOW HIRING)

Senior, ML Engineer - Auto Tagging

Ann Arbor, MI · On-site +1

$102K - $140K/yr

... sensor fusion, and generative simulation testing. What You'll Do: * Scenario Mining at Scale ... Guide, mentor, and elevate less-experienced engineers. Lead design reviews, establish coding ...

Senior, ML Engineer - Auto Tagging

Ann Arbor, MI · On-site +1

$102K - $140K/yr

... sensor fusion, and generative simulation testing. What You'll Do: * Scenario Mining at Scale ... Guide, mentor, and elevate less-experienced engineers. Lead design reviews, establish coding ...

Embodied AI Tooling Engineer

El Segundo, CA · On-site +1

$100K - $120K/yr

Teleoperation & Remote Orchestration: Engineering low-latency tools for remote robot * control and ... Lead the development of automated tools for multi-sensor data * fusion and precision timestamp ...

New

Embodied AI Tooling Engineer

El Segundo, CA · On-site +1

$100K - $120K/yr

Teleoperation & Remote Orchestration: Engineering low-latency tools for remote robot * control and ... Lead the development of automated tools for multi-sensor data * fusion and precision timestamp ...

New

Lead Machine Learning Engineer - Localization

OR · On-site +1

$102K - $134K/yr

As the Lead ML Engineer for Localization, you will build the production-grade feature extraction ... Working knowledge of localization and state estimation concepts (e.g., SLAM, sensor fusion). * A ...

... sensor fusion is highly desirable. • Strong experience in software engineering and machine learning algorithm design. • Fluency in Python. • Experience with C++. Company : Stack AV operates in ...

Work cross-functionally with Vehicle Engineering, Product, and Operations leaders to solve and ... sensor fusion, and behavior prediction. * Lead design and specification of next-generation sensor ...

Showing results 41-60

Remote Sensor Fusion Engineer information

See salary details

$41K

$88.9K

$137.5K

How much do remote sensor fusion engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for remote sensor fusion engineer in the United States is $88,896.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $109,500.00 per year, depending on experience, location, and employer.

What does a remote sensor fusion engineer do?

A Remote Sensor Fusion Engineer is responsible for integrating and analyzing data from multiple sensors, such as cameras, radars, and lidars, to create a comprehensive and accurate understanding of an environment. This role is essential in fields like autonomous vehicles, robotics, and IoT systems, where precise situational awareness is critical. As a remote position, the engineer collaborates with cross-functional teams using digital tools to design algorithms, test sensor data integration, and improve system performance from a remote location.

What are some typical challenges faced by remote sensor fusion engineers when integrating data from multiple sensors?

Remote Sensor Fusion Engineers often encounter challenges such as handling data discrepancies due to varying sensor resolutions, synchronization issues caused by different sensor update rates, and managing sensor noise or data loss. Ensuring that the fused data is both reliable and processed in real-time for downstream applications can be complex, especially in distributed or remote environments. Effective collaboration with hardware engineers, software developers, and data scientists is essential to address these challenges and optimize system performance.

What are the key skills and qualifications needed to thrive as a remote sensor fusion engineer, and why are they important?

To thrive as a Remote Sensor Fusion Engineer, you need a solid background in signal processing, mathematics, and experience with sensor technologies, often supported by a degree in electrical engineering, robotics, or a related field. Familiarity with programming languages like Python or C++, sensor simulation tools, and frameworks such as ROS (Robot Operating System) is typically required. Strong problem-solving abilities, analytical thinking, and effective communication are crucial soft skills for collaborating remotely and integrating complex data sources. These skills and qualifications are essential for developing reliable sensor fusion algorithms that enable accurate perception in autonomous or remote systems.

What is the difference between Remote Sensor Fusion Engineer vs Remote Data Scientist?

AspectRemote Sensor Fusion EngineerRemote Data Scientist
Required CredentialsBachelor's or Master's in Electrical Engineering, Computer Science, or related fields; experience with sensor systems and fusion algorithmsBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in programming and statistical analysis
Work EnvironmentDevelops algorithms for sensor data integration, often in robotics, autonomous vehicles, or aerospaceAnalyzes large datasets to extract insights, often in tech, finance, or healthcare sectors
Industry UsageUsed in industries like automotive, aerospace, defense, and roboticsCommon in tech companies, research institutions, and consulting firms

While both roles involve data analysis and programming, Remote Sensor Fusion Engineers focus on integrating sensor data for real-time applications in robotics and autonomous systems. Remote Data Scientists analyze large datasets for insights and decision-making. The roles share technical skills but differ in application and industry focus.

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The most popular types of Sensor Fusion Engineer jobs are:

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The top searched job categories for Remote Sensor Fusion Engineer jobs are:

Senior, ML Engineer - 3D Reconstruction

Torc Robotics

Ann Arbor, MI • On-site, Remote

$102K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago


Job description

About the Company 

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners.Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.

Meet The Team:

The Pseudo-Labeling team's goal is to create high-quality annotations on sensor data (images, point clouds). The annotations include 2D, 3D bounding boxes, classes, trajectories, lane lines, segmentations, depths, and high-definition map elements. The annotations are then used by different downstream users - for example, perception teams use them to train various models, mapping teams use them to build and maintain HD maps, and simulation teams use them for generating new data.

What You'll Do:
  • Design, implement, test and deploy offline 3D reconstruction, lane line detection, and automatic mapping/map creation modules to generate high-quality annotations on Cloud Services from logged sensor data (Cameras, Lidars, Radars, GPS/IMU).
  • Build and refine lane line annotation pipelines, applying the latest lane line detection and creation machine learning models to automate and scale map creation.
  • Develop and improve pose estimation algorithms to support accurate localization, sensor fusion, and 3D scene reconstruction.
  • Demonstrate project management skills, serving as project lead guiding less experienced team members in multiple facets of project execution.
  • Stay up to date with the latest developments in AI and ML for autonomous driving, 3D reconstruction, and automated mapping.
  • Independently develop offline perception and mapping models or algorithms using disciplined software development processes, making recommendations for developing new code or re-using existing code, implementing version control, and maintaining documentation of created applications.
  • Define and implement ingestion, data preparation, curation, and governance of large, multi-faceted data sets supporting analytics models and workflows.
  • Proactively assess current capabilities to identify areas for improvement, proposing solutions that align with core strategy and operation.
  • Measure and track auto-labeling and map creation quality to meet internal customer requirements.
  • Guide and produce information products, supporting visualization and data accessibility in a customer-centric manner.
  • Evaluate and make recommendations regarding technical advances that improve productivity and quality, reduce flow times, and enhance operational surety.
  • Develop guidelines and standards for analytics and machine learning models, their deployment, and associated processes.
  • Provide technical guidance or business process expertise, technical leadership, coaching and mentoring to team members.
What You'll Need to Succeed:
  • Considered highly skilled and proficient in discipline; conducts complex, important work under minimal supervision and with wide latitude for independent judgment.
  • Scope of Influence: Expected to drive alignment across team interfaces to the rest of the organization. Designs, maintains and owns team technical solutions and drives consensus. Mentors and guides engineers within the group.
  • Bachelor's Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrated competencies and technical proficiencies typically acquired through 6+ years of experience OR;
  • Master's Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrated competencies and technical proficiencies typically acquired through 3+ years of experience OR;
  • Required Qualifications (some combination of the following skills):
    • Experience in lane line annotation creation or automatic mapping/map creation.
    • Familiarity with the latest lane line detection and creation machine learning models.
    • Familiarity with pose estimation.
    • Active Learning & Pseudo-labeling - Computer Vision, Deep Learning, Model training.
    • Two of the following: 2D/3D Object Detection, Tracking, Sensor Fusion, Semantic Segmentation, SLAM, BEV.
    • Scaled ML Operations (MLOps) and Tooling - ML Frameworks, experiment tracking, model registry, MLflow, Weights and Biases, ML Metrics and Evaluation / Quality.
    • Distributed machine learning frameworks - PyTorch, Lightning, Ray.
    • Model Data Curation - Parquet data processing (PyArrow, Daft, Pandas, etc).
    • Development Tools & Eco-System (at scale) - Proficiency in Python software development. Also, VDI and cloud-based development environments, CI Systems (GitHub Actions), and Docker.
Bonus Points!
  • PPK/RTK (Post-Processed Kinematic / Real-Time Kinematic) GPS experience.
  • GIS (Geographic Information Systems) experience.

Perks of Being a Full-time Torc'r 

Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers: 

  • A competitive compensation package that includes a bonus component and stock options
  • 100% paid medical, dental, and vision premiums for full-time employees
  • 401K plan with a 6% employer match
  • Flexibility in schedule and generous paid vacation (availableimmediately after start date)
  • Company-wide holiday office closures
  • AD+D and Life Insurance 

At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. 

Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply. 

Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience.Torc's total compensation package will also include our corporate bonus and stock option plan.Dependenton the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. 

Job ID: R-102832