Agtonomy · 3 days ago

Software Engineer, Perception/ML/CV

San Francisco, CA

Full-time

Onsite

Senior Level

5+ years exp

Wonder how qualified you are to the job?

Maximize your interview chances

AgricultureAgTech

Insider Connection @Agtonomy

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

Apply first principles, applied theory and machine learning to solve challenging perception problems for autonomous systems (e.g. object detection, semantic segmentation, instance segmentation, dense depth, optical flow, tracking, etc.)

Refine and optimize models for low-latency on embedded hardware

Characterize and quantify the performance of the vision systems

Research, prototype, and experiment with various sensors, algorithms and approaches

Architect, design, and implement software applications, infrastructure, and tools

Write performant, well-tested software, improve code quality through code and design reviews

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

C++11Software developmentComputer visionMachine learningRobotic perceptionHandling large datasetsCurating datasetsAlgorithm developmentSensor hardwareProbabilistic techniquesSustainable energyElectric vehicle developmentProblem-solvingCollaborationCommunicationAnalyticalSelf-motivatedReal-time sensor fusion3D data representationsParallel processingCUDADLAsML model architecturesCompute constrained pipelinesOptimizing architectures

Required

Strong proficiency in C++11 (or newer) development for resource constrained embedded systems

5+ years of experience in software development for problems involving state of the art computer vision, machine learning and robotic perception techniques

Experience handling large datasets efficiently

Experience curating synthetic and real-world image datasets

Experience building algorithms for various hardware sensors (eg, LiDAR, camera, radar, etc.)

Strong mathematical skills and understanding of probabilistic techniques

Ability to thrive in a fast-moving, collaborative, small team environment with little supervision

Excellent analytical, communication, and documentation skills with demonstrated ability to collaborate with interdisciplinary stakeholders

Passion for sustainable energy and electric vehicle development