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Perception Engineer

Role overview

Qualifications

  • Master’s degree in Electrical Engineering, Computer Engineering, Electrical and Computer Engineering, or Computer Vision
  • At least 18 months of working experience in Machine Learning
  • At least 18 months of working experience in Sensor Calibration through algorithm development

Responsibilities

  • Provide daily technical and execution guidance on research and development tasks to perception team members
  • Research, design, and develop algorithms for autonomous driving systems to solve challenging problems in ISEE's Perception and Sensor stack
  • Prototype and deploy robust perception algorithms on ISEE's vehicle fleet in areas of Object Detection, Localization and Mapping, Fusion and Multi Object Tracking
  • Develop systems for multimodal Sensor Fusion and Calibration using multiple grade sensors including Cameras, LiDARs, GNSS, IMUs and Radars

Key facts

  • Remote from: United States
  • Full time
  • Field Solutions Engineer
  • English

Hard skills

Other skills

  • Collaboration
  • Communication
  • Team Management
  • Mentorship
  • Problem Solving

About the company

ISEE logo

ISEE

  • EVs, Autonomy & Mobility Services
  • Scaleup
  • 51–200
ISEE is an autonomous driving technology company, spun out of MIT, whose humanistic, AI-powered, self-driving yard trucks are modernizing the global supply chain for the world’s leading companies. ISEE autonomous yard trucks are helping customers like Maersk, Lazerspot, and Fortune 100 retail companies automate their logistics hubs and achieve even greater yard safety, cost savings, consistent driving performance, and reliable driving capacity. With proprietary technology that anticipates unexpected behavior better than any other solution on the market, ISEE is poised to become a leader in the $100B global autonomous yard truck market.

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Job description

Job duties: Provide daily technical and execution guidance on research and development tasks
to perception team members. Specifically,
• Research, design, and develop algorithms for autonomous driving systems to solve
challenging problems in ISEE's Perception and Sensor stack.
• Prototype and deploy robust perception algorithms on ISEE's vehicle fleet in areas of:
Object Detection, Localization and Mapping, Fusion and Multi Object Tracking;
• Develop systems for multimodal Sensor Fusion and Calibration using multiple grade
sensors including but not limited to Cameras, LiDARs, GNSS, IMUs and RaDARs.
• Invent and design new algorithms, tools, and models in emerging research areas to
improve the complex autonomous vehicle systems;
• Develop simulations for ISEE's systems and identify discrepancies between virtual and
real-world performance for future development and analysis.
• Contribute novel research ideas and collaborate with team members to conduct research
data analysis. Lead the algorithm design discussions to solve technical problems for these
systems;
• Stay up to date with current research in the field of Computer Vision and Pattern
Recognition and share relevant research with the team.
• Manage and supervise the work of other perception team members.
• Contribute in the recruiting process for perception and software candidates.

Job requirements:
- Master’s degree in Electrical Engineering, Computer Engineering, Electrical and
Computer Engineering or Computer Vision plus 18-month working experience.
- 18-month working experience must in Machine learning and Sensor Calibration through
algorithm development.

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