Perception Engineer
Location: Remote (US)
Department: Software Engineering
Location Type: REMOTE
Employment Type: FULL_TIME
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
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