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Gecko Robotics

Solutions Engineer | Power

Pittsburgh; New York CityOnsite · United States
FullTime · Product
POSTED 29 OCTVERIFIED 12H AGO
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Role
11 days opentrue age
Posted 29 Oct
Payats field
$225k–290kposted
▲ +76% vs market median $146k
$111k$290k
Market p25–p75
$111k–$183k
Gecko Robotics p25–p75
$199k–$231kn=3
Pittsburgh · n=15 · 365d to 6 Nov
CompanyGecko Robotics →
22open roles
Opened · 30d
+0
Closed · 30d
−0
3d of snapshots · 30d window
Market
37,653open · Software engineering
Opened · 7d
+2,3586% of open
All software engineering
75,186open
All tracked boards · live 10 Nov · n=37,653
Visa
2H-1B LCAs · FY26
NL recognised sponsor
✓
LCAs FY26 · n=2 · to 2026-05-12

What We Do

Gecko Robotics is helping the world’s most important organizations ensure the availability, reliability, and sustainability of critical infrastructure. Gecko's complete and connected solutions combine wall-climbing robots, industry-leading sensors, and an AI-powered data platform to provide customers with a unique window into the current and future health of their physical assets. This enables real-time decision making to increase the efficiency and safety of operations, promote mission readiness, and protect the environment and civilization from the effects of infrastructure failure.

About the Role

We’re looking for a Solutions Engineer, Power to lead customer deployments from kickoff through go-live. You will combine plant systems knowledge with hands-on software configuration, asset data validation, and customer coordination to ensure the platform accurately reflects each facility.

Our software gives industrial operators an accurate operating picture of their facility. You will help customers trust and use it by ensuring each site is set up correctly, explaining the engineering reasoning behind configuration decisions, and training users.

This role is based in our New York City or Pittsburgh office, with 25% to 50% travel to customer sites.

What You Will Do

Serve as the technical point of contact across a portfolio of customer sites, leading configuration, deployment, and user training.

Ensure every deployment meets customer expectations and agreed product requirements. Define and track success metrics and support adoption.

Resolve configuration and deployment issues, keeping customers informed and involving Engineering or the commercial team when appropriate.

Deliver product demonstrations, user training, and structured feedback sessions.

Launch new customer sites from kickoff through go-live, coordinating requirements, timelines, and risks while improving deployment playbooks.

Configure the software and build and validate each site’s asset data against plant engineering documentation so the platform accurately reflects the facility.

Apply and refine tagging conventions, naming standards, and asset data taxonomy, resolving inconsistencies so every site is built consistently.

Test configurations and workflows across development and production environments, report software issues with clear reproduction steps, and verify deployment quality before customer milestones.

Use plant systems knowledge to validate software outputs, investigate incorrect or misleading results, and explain the reasoning behind configuration choices.

Turn field learnings into clear, prioritized feedback and serve as a resource on plant systems and operations for the software engineering team.

About You / Required Skills

5+ years in industrial operations, maintenance, or plant systems work, including experience where data accuracy was non-negotiable.

Fluency in reading engineering drawings and explaining system function, design intent, and operating considerations to guide accurate software configuration.

Experience building or maintaining accuracy-critical plant data: CMMS or EAM master data (SAP PM, Maximo, JDE, or similar), DCS-to-historian tag mapping, loop-check or instrument index verification.

Experience integrating large-scale industrial software: SCADA/HMI platforms, data historians, or plant information systems.

Strong attention to detail when checking equipment tags, asset relationships, and software configurations against plant documentation.

A thorough approach to investigating discrepancies, understanding their causes, and correcting them or involving the right team.

Strong organization across multiple customer deployments, including tracking requirements, milestones, follow-ups, and risks through completion.

Sound judgment when working with incomplete information, asking focused questions, and explaining the reasoning behind configuration decisions.

Clear communication with plant operators, engineers, and corporate leaders, including knowing when to involve Engineering or the commercial team.

Source · Gecko RoboticsFirst seen 3 NovOriginal ↗