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Software Engineer, Machine Learning​/ ML Engineer, AI Engineer (Applied​/Software)

Job in Monrovia, Los Angeles County, California, 91017, USA
Listing for: SiLC Technologies, Inc
Full Time position
Listed on 2026-06-18
Job specializations:
  • Software Development
    Software Engineer, Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Direct message the job poster from SiLC Technologies, Inc

SiLC is a deep tech company with an immediate opening for a full-time on-site Software Engineer to be a part of a dynamic team focused on building a revolutionary 4D sensing solution. This person will be responsible for the development and testing of advanced point cloud processing algorithms for FMCW LiDAR-based applications. The ideal candidate will have experience with real-time programming, 3D computer vision, and the ability to transition algorithms from research prototypes to production-ready solutions.

The candidate should have strong communication skills as he or she will interface with our development team leads and senior management.

Key Responsibilities:

  • Design and implement point cloud processing algorithms for defect detection and identification in industrial environments
  • Create accurate dimensional measurement algorithms for 3D objects using 3D point cloud data
  • Develop robust volume calculation systems for regular/irregular objects using 3D point cloud data
  • Develop real-time 3D visualization using OpenGL and QT for point clouds
  • Contribute to and maintain our existing codebase
  • Participate in code reviews/technical discussions
  • Required Qualifications:

  • MS degree in Computer Science, Electrical Engineering, or related field, with relevant experience
  • Strong programming skills in C/C++
  • Python programming for rapid prototyping and algorithm development (Num Py, Sci Py)
  • Familiarity with linear algebra and 3D geometry algorithms (surface reconstruction, clustering, segmentation)
  • Knowledge of multi-threading and concurrent programming paradigms
  • Experience with build systems (CMake, Make) and proficiency with version control systems (Git)
  • Excellent problem-solving abilities
  • Strong communication skills and ability to work in a team environment
  • Nice to Haves:

  • Experience with CUDA or OpenCL for GPU acceleration
  • Familiarity with PCL/OpenCV libraries
  • Knowledge of ROS for robotics applications
  • Coursework in Computational Geometry and Machine Learning
  • Experience with ML/DL libraries such as sci-kit learn and Py Torch
  • Understanding of LiDAR sensor technologies and characteristics
  • Knowledge of metrology and precision measurement techniques
  • Knowledge of coordinate system transformations and calibration procedures
  • Understanding of sensor fusion techniques combining LiDAR with other sensors
  • Seniority level
    • Entry level
    Employment type
    • Full-time
    Job function
    • Engineering and Information Technology
    Industries
    • Semiconductors

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