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Multi Modality Jobs in Michigan (NOW HIRING)

Waymo

Sensor Placement and Analysis Engineer

Novi, MI · On-site

... of multi-modal sensing functionality, specifically how cameras, LiDARs, and radars operate as individual hardware units * Systems Architecture: Strong grasp of how various sensing modalities ...

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Multi Modality information

What are the key skills and qualifications needed to thrive as a Multi Modality Technologist, and why are they important?

To thrive as a Multi Modality Technologist, you need in-depth knowledge of diagnostic imaging procedures across multiple modalities (such as X-ray, CT, MRI), typically supported by an associate’s or bachelor’s degree in radiologic technology and ARRT or equivalent certification. Familiarity with imaging equipment, PACS (Picture Archiving and Communication Systems), and safety protocols is essential. Strong attention to detail, adaptability, and effective communication enhance patient care and teamwork. These skills and qualifications ensure accurate diagnostics, patient safety, and efficient workflow in a fast-paced clinical environment.

What is the difference between Multi Modality vs Radiologic Technologist?

AspectMulti ModalityRadiologic Technologist
CredentialsCertification in multiple imaging modalities (e.g., MRI, CT, Ultrasound)Certification in specific modality (e.g., X-ray, MRI)
Work EnvironmentHospitals, clinics, imaging centers with diverse equipmentTypically specialized in one modality, working in hospitals or clinics
Industry UsageUsed for roles requiring versatility across imaging typesFocused on a single imaging technique
Search & ComparisonOften searched for roles requiring multiple imaging skillsMore common for specialized imaging roles

Multi Modality professionals are trained to operate and interpret multiple imaging techniques, offering versatility in diagnostic settings. Radiologic Technologists usually specialize in one modality, providing focused expertise. The choice depends on the employer's needs for multi-skilled versus specialized imaging professionals.

What are some common challenges faced by Multi Modality Technologists in a clinical setting?

Multi Modality Technologists often juggle responsibilities across multiple imaging disciplines, such as MRI, CT, and X-ray. This requires them to stay current with protocols, manage varied equipment, and adapt quickly to different patient needs. Balancing schedules, maintaining certifications in several modalities, and collaborating with radiologists and other healthcare professionals can be demanding but also rewarding for those who enjoy a dynamic work environment.

What are Multi Modality professionals?

Multi Modality professionals are healthcare workers, often radiologic technologists, who are trained and certified to operate more than one type of medical imaging equipment, such as X-ray, CT, MRI, or ultrasound machines. Their versatility allows them to perform a broader range of diagnostic procedures, making them valuable members of the diagnostic imaging team. These professionals must be knowledgeable about each modality's safety protocols and technology, and they often need additional certifications or training to work across multiple specialties.
What are popular job titles related to Multi Modality jobs in Michigan? For Multi Modality jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Multi Modality jobs in Michigan look for? The top searched job categories for Multi Modality jobs in Michigan are:
What cities in Michigan are hiring for Multi Modality jobs? Cities in Michigan with the most Multi Modality job openings:
Multi Modality jobs near you
Autonomous Driving Vehicle Perception Engineer

Autonomous Driving Vehicle Perception Engineer

Quest Global

Northville, MI • On-site

$80K - $100K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago

Quest Global rating

7.4

Company rating: 7.4 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

236th of 356 rated engineering

Job description

What You will Do:

  • Design and implement advanced perception algorithms for autonomous vehicles using LiDAR, cameras, radar, and GNSS.
  • Develop and optimize sensor fusion techniques to combine data from multiple sensors, improving the accuracy and reliability of perception systems.
  • Create algorithms for object detection, tracking, semantic segmentation, and classification from 3D point clouds (LiDAR) and camera data.
  • Work on Simultaneous Localization and Mapping (SLAM) algorithms, including Graph SLAM, LIO-SAM, and visual-inertial SLAM.
  • Develop sensor calibration techniques (intrinsic and extrinsic) and coordinate transformations between sensors.
  • Participate in real-time systems design and optimization to meet the high-performance requirements of autonomous driving.
  • Work with ROS2 for integration and deployment of perception algorithms.
  • Develop, test, and deploy machine learning models for perception tasks such as object detection and segmentation.
  • Collaborate with cross-functional teams, including software engineers, data scientists, and hardware teams, to deliver end-to-end solutions.
  • Stay up-to-date with industry trends and emerging technologies to innovate and improve perception systems.

What You Will Bring:

  • Minimum 3+ years of experience in sensor calibration, multi-sensor fusion, or related domains.
  • Strong foundation in linear algebra, 3D geometry, coordinate frames, quaternions, probability, Bayesian filtering, and data association.
  • Hands-on experience with intrinsic and extrinsic calibration of LiDAR, cameras, and radar, including geometric calibration, coordinate transforms, and sensor synchronization.
  • Proven experience with perception algorithms for autonomous systems, particularly in the areas of LiDAR, camera, radar, GNSS, or other sensor modalities.
  • Deep understanding of LiDAR technology, point cloud data structures, and processing techniques; experience with PCL or Open3D.
  • Proficiency in sensor fusion for combining data from LiDAR, camera, radar, and GNSS, including handling time synchronization and motion distortion.
  • Solid background in computer vision techniques; experience with OpenCV and object detection models such as YOLO, Faster R-CNN, or SSD.
  • Experience with deep learning frameworks (TensorFlow or PyTorch) for object detection and segmentation tasks.
  • Hands-on experience with multi-object tracking algorithms such as SORT, DeepSORT, Kalman Filters, UKF, IMM, or JPDA.
  • Strong programming skills in C++ and Python; familiarity with geometric optimization libraries.
  • Familiarity with ROS2 for perception-based autonomous systems development.
  • Experience with parallel computing for real-time performance optimization (e.g., CUDA, OpenCL).

Company Description

Quest Global delivers world-class end-to-end engineering solutions by leveraging our deep industry knowledge and digital expertise. By bringing together technologies and industries, alongside the contributions of diverse individuals and their areas of expertise, we are able to solve problems better, faster. This multi-dimensional approach enables us to solve the most critical and large-scale challenges across the aerospace & defense, automotive, energy, hi-tech, healthcare, medical devices, rail and semiconductor industries.