Perception Engineer

Key Responsibilities

• • Signal Processing: Design and implement algorithms to process raw sensor data, correcting for environmental attenuation, noise, and physical constraints
  • Sensor Fusion & Calibration: Develop techniques to fuse multi-modal sensor streams and perform precise sensor calibration to ensure data alignment and accuracy across the hardware stack
  • 3D Scene Reconstruction: Build pipelines that generate 3D representations of the environment from complex inputs
  • Feature Detection: Apply a combination of conventional and deep learning approaches to identify key features and objects within the sensor data
  • Production Engineering: Contribute to the production codebase, ensuring algorithms are scalable, robust, and well-tested in a primarily Python-based stack

Required Qualifications

• • Educational Background: BS/MS in Robotics, Computer Science, Electrical Engineering, or a relevant technical degree
  • Experience: 3+ years of experience in perception or signal processing
  • Technical Proficiency: Strong coding ability with a mastery of Python and experience with SQL
  • Domain Expertise: Demonstrated experience with sensor fusion, state estimation, or 3D computer vision (e.g., SLAM, structure-from-motion, or point cloud processing)
  • Engineering Best Practices: Strong software engineering skills, including knowledge of testing, version control, and deployment pipelines.

Bonus Qualifications

• • Experience processing underwater acoustics or sonar data
  • Familiarity with cloud data infrastructure (e.g., Snowflake, dbt, Airflow)
  • Experience with containerization (Docker) and cloud development (AWS).

Benefits

• • Competitive salaries and generous equity
  • Unlimited vacation policy
  • Flexible working hours + hybrid work policy
  • Medical, vision, & dental insurance
  • Retirement matching plan
  • Potential travel to Norway
  • Evolve in a fast-paced environment
  • Be able to shape a business in its early days
  • Get ideas, feedback, and suggestions from other best-in-their-field colleagues
  • Mentorship opportunities, we'll be dedicated to investing in you and supporting you as you grow