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Senior Computer Vision Engineer

LinkedIn iMETALX Inc. Sausalito, CA
Mid-Senior level Posted March 29, 2026 Job link
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Requirements
  • Strong programmer beyond just Python:
  • Deep programming fundamentals and proficiency in at least one language in addition to Python (e.g., C++, Rust, CUDA)
  • Comfortable working in larger, evolving codebases with version control (Git), testing, and CI/CD
  • Demonstrated experience taking projects from concept through implementation, testing, and deployment (personal, academic, or professional)
  • Able to explain the hardest problems you solved, how you evaluated success, and how you handled the gap between theory and implementation
  • 2-10 years of professional experience in software engineering or applied ML/computer vision
  • Strong programming skills in Python and C++, with evidence of building and maintaining production-grade systems
  • Experience with one or more of:
  • Computer vision, robotics perception, autonomous systems, or similar fields where reliability and performance matter
  • Experience working in Linux environments and with modern development workflows (Git, code reviews, testing)
  • Ability and willingness to work on-site in Sausalito, CA
  • U.S. citizenship due to ITAR export-control restrictions, only U.S. citizens are eligible for this position
Preferred Skills
  • Prior work on robotics, autonomous vehicles, drones, or other SWaP-constrained systems
  • Experience integrating with simulation environments, cloud tools, or complex APIs
  • Exposure to CUDA, GPU acceleration, or performance optimization
  • Experience with advanced perception pipelines
  • Electrical Engineering, Robotics, And Hardware (Preferred)
  • Electrical engineering and robotics expertise are strong pluses but not hard requirements for this role.
  • Experience with embedded systems, or hardware integration for perception/ML systems
  • Familiarity with sensors such as IMUs, LiDAR, EO/IR cameras, and related calibration/integration workflows
  • Hands-on work with SWaP-constrained platforms (e.g., NVIDIA Jetson, FPGAs, or similar)
Education
  • (Not required) – 2-10 years of professional experience in software engineering or applied ML/computer vision
  • (Not required) – Electrical Engineering, Robotics, And Hardware (Preferred)