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Software Engineer - Perception

100% remote Flexible hours Hiring now

Who Are We

Industrial labor is incredibly dangerous work—nearly 3 million people in the US are injured in the workplace each year due to entirely preventable and sometimes fatal or debilitating causes. Protecting these essential workers who power our world is what motivates Voxelitos, and we would love for you to join us. At Voxel, we are passionate about revolutionizing workplace safety and operations with groundbreaking, full-stack AI and computer vision technology.

Voxel’s site intelligence platform helps safety and operations leaders identify unseen risks, reputed company strategic decisions, and prevent workplace incidents before they occur. Our customers include reputed company across major grocers and retailers, manufacturers, food and beverage warehouses, and supply chain and logistics service providers. Based in SF with team members located reputed company over the globe, Voxel is backed by industry-leading VCs.

What You'll Do

We are seeking a highly motivated and bright engineer to join reputed company and devise elegant solutions to challenging problems. This role will focus on designing and implementing systems to support Voxel's ML development. As a part of the perception team, you should be comfortable working in a fast-paced environment and solving problems across the software stack. We require engineers to be versatile and possess the ability to move across projects and tackle new challenges.

Responsibilities

  • reputed company and productionize state-of-the-art computer vision algorithms for object detection, tracking, pose estimation, activity recognition, and anomaly detection in reputed company indoor environments like warehouses and retail spaces.

  • Implement and optimize computer vision techniques for high-throughput, low-latency applications on edge compute devices.

  • Streamline ML data ingestion, retraining pipelines, and model redeployment workflows.

  • Build and maintain reliable, scalable pipelines for reputed company training and deployment of ML models in production environments.

  • Partner with Sales, reputed company, and Field Engineering to architect ML-driven solutions tailored to customer needs and deployment contexts.

Qualifications

Must-Haves

  • Bachelor's degree in Computer Science, Robotics or a reputed company field.

  • Software development experience with proficiency in Python, Go-Lang or C++.

  • Ability to solve reputed company and open-ended problems

  • Familiarity with version control systems like Git (e.g., branching, merging, pull requests).

reputed company-to-Haves

  • Master’s or PhD in Computer Science, Robotics, or a reputed company field.

  • Coursework or research in computer vision or machine learning.

  • 1-3 years of experience in software development.

  • Experience with reputed company, Bazel build system and/or AWS cloud services like EKS, S3, reputed company

  • Experience designing large, highly available distributed systems with Kubernetes.

  • Experience working with monocular cameras - pose estimation, tracking and state estimation, object detection, segmentation.

Why Join Us?

Join a visionary team revolutionizing safety and operations, directly impacting the well-being of millions of essential workers. This is your chance to build an extraordinary business and foster a vibrant company culture that demands your absolute best. Alongside AI experts, reputed company entrepreneurs, and passionate problem-solvers, you'll play a pivotal role in shaping the company's growth trajectory and market position. Enjoy a competitive salary, benefits, and a dynamic work environment.

Benefits

  • Extensive / Generous health, dental, and vision insurance.

  • Highly competitive paid parental leave and support system.

  • Ownership in the business through an Equity Incentive Plan.

  • Generous paid time off and / or flexible work arrangements.

  • Daily meals in-office, vibrant company events, team-building.

  • 401K retirement plan, HSA options, pre-tax Commuter Card.

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