Gather AI logo
Gather AI
Verified live 1d ago

Principal Robotics Systems Engineer

Brief overview

Pittsburgh, Pennsylvania, United StatesIn-person
10+ yrsMinimum
4 H-1B approvalsDept. of Labor
Systems engineeringRoboticsAutonomous systemsHardware/software integrationC++PythonPerceptionLocalizationMappingNavigationControl systemsRisk assessmentTrade-off analysisTechnical leadershipAgile development

About the company

Gather AI logo
Gather AIgather.ai

A startup building AI-driven GTM solutions for autonomous warehousing.

Visa sponsorship history

3 years sponsoring, last filed FY2026

Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.
4H-1B approved
100%approval rate
3new H-1B hires
$127,459median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20241
20251
20262
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20241
20261
Top sponsored roles
Solutions EngineerMachine Learning Engineer

Job description

About Us

Are you ready to build the future of supply chain? At Gather AI, we're not just creating software; we're pioneering a new era of warehouse intelligence. We've developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining "on-time, in full" delivery. If you're looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We're leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time.

About You

As a Principal Systems Engineer at Gather AI you will be a technical leader, driving the development and integration of cutting-edge autonomous and passive sensing systems, bridging the gap between product vision, complex system requirements, hardware implementation, and real-world performance.

What You’ll Do

  • Take full technical ownership of the design, architecture, and integration of the autonomous data gathering systems in logistics and material handling environments.
  • Collaborate with Product Management, Customers, and cross-functional engineering teams (e.g., Software, Hardware, Cloud, Test) to negotiate and finalize system boundaries and interfaces.
  • Serve as a technical leader, mentoring less experienced engineers and setting the standard for systems engineering best practices. 
  • Possess specific, in-depth knowledge of hardware implementation and integration challenges for both active robotic components (e.g., actuators, controllers) and passive sensing modalities (e.g., RGB cameras, depth cameras).
  • Drive trade-off analyses, risk assessment, and mitigation planning for critical system elements.

Requirements

  • BS, MS, or PhD in Systems Engineering, Robotics, Mechanical or Electrical Engineering, Computer Science, or a related field.
  • 10-15 years of experience in systems engineering, with a significant focus on complex hybrid hardware/software systems.
  • Demonstrated technical ownership of major cross-functional product development initiatives.
  • Comfort with complex algorithms in the robotics domain - finding, evaluating, and applying algorithms in mixed language (C++/Python) systems.
  • Understanding of considerations regarding mechanical mounts, power and RF, and ingress protection.
  • Expertise in the integration and performance characterization of passive sensing systems (e.g., perception, localization, mapping) and/or active robotic systems (e.g., navigation, control).
  • Proven track record of defining and verifying system requirements for complex autonomous systems.
  • Strong communication skills, particularly in writing documents that identify critical requirements and explain challenging problems clearly.
  • Persistence and calm leadership in an agile work environment.

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