Jobs at Brain Corp

Design, build, and maintain scalable cloud infrastructure and APIs on GCP to support AI applications and robotic integrations. Collaborate with ML and web teams, optimize cost/performance, implement IaC and containerized services, and participate in testing and reliability work.

Lead and own Brain Corps Walmart operations across US and international markets. Coordinate cross-functional teams (support, supply chain, engineering, Trust) to manage escalations, track KPIs, align supply and demand, drive deployments, and continuously improve operational processes and reporting to ensure scalable, frictionless customer outcomes.

Support production, calibration, and testing of autonomous vehicles at OEM facilities; lead new production stand-ups, process development, pilot and production runs, and cross-functional issue resolution. Provide on-site training, troubleshooting, and documentation while implementing manufacturing systems for low-to-medium volume electro-mechanical assembly.

Lead and manage a cloud engineering team while architecting and implementing high-availability GCP systems and ML pipelines that ingest and process massive image volumes. Drive GPU resource optimization, IaC deployments, observability, and cross-functional collaboration with ML, data, and robotics teams to enable scalable model training, serving, and inference.

Lead architecture and re-architecture of HAL, telemetry, and C++ middleware for autonomous mobile robots. Integrate sensors, optimize embedded performance, drive migrations from Python to C++, mentor engineers, and ensure system reliability and observability across the robotics platform.

Lead technical direction for autonomy systems across perception, SLAM, prediction, and planning. Architect and ship ML-driven features from research to fleet, mentor engineers, drive hiring, and improve data, evaluation, and deployment infrastructure for embedded robotic systems.

Lead and grow a Cloud Platform engineering team that builds and operates the backend for a global fleet of robots. Own roadmap, reliability, on-call/incident response, cloud cost, architecture, hiring, and delivery while contributing hands-on to development and partnering cross-functionally to scale the platform.

Design, train, and deploy perception, SLAM, prediction, and motion-planning ML systems for safe navigation. Translate research into production C++/Python implementations, build data pipelines and evaluation infrastructure from fleet logs, optimize on-device performance, own end-to-end features from sim to fleet rollout, and mentor engineers across robotics, ML, and systems.

Lead and grow the Cloud Platform engineering team owning roadmap, reliability, architecture, cost, and on-call. Drive hiring, delivery cadence, incident response, and platform scalability. Partner cross-functionally with product and technical leaders, contribute hands-on to development, and establish cloud-native best practices and GenAI-enabled engineering workflows.

Plan and execute robotic integration programs across the product lifecycle. Coordinate cross-functional engineering teams (software, hardware, firmware, cloud, autonomy), manage schedules and milestones, liaise with partners and product management, identify risks and mitigations, and present technical program updates. Up to 25% travel.

The Technical Support Engineer IV ensures optimal robot performance, resolves complex technical issues, mentors junior staff, and collaborates with customers and engineering teams to enhance operations and customer satisfaction.

Lead and manage a cloud engineering team while architecting and building GCP-based, high-availability ML infrastructure and data pipelines that ingest and process hundreds of thousands of images daily, optimize GPU serving, implement IaC and observability, and collaborate with ML, DevOps, and robotics teams.

Senior technical support engineer responsible for remote monitoring, advanced troubleshooting, and resolution of hardware and software issues for deployed robot fleets. Acts as SME and liaison to customers, OEMs, and engineering; leads projects, mentors junior staff, creates dashboards and metrics, and provides on-site support as needed to improve customer satisfaction and product reliability.

Lead engineering operations team supporting R&D, QA/Test, production and repair labs. Manage OEM production support, process optimization, budgets, cross-functional collaboration, and continuous improvement using Lean/Six Sigma. Mentor technicians and project engineers, drive manufacturing efficiency, and oversee project delivery, resource allocation, and operational metrics.

Own and define operational metrics in BigQuery; validate and monitor data quality; build dashboards, lineage, and tooling; partner with engineering, product, and operations to turn analyses into repeatable KPIs and process improvements.

Lead product vision, strategy, and roadmap for BrainOS® product area. Engage customers and partners to discover use cases, define pricing and features, run research and POCs, and collaborate with engineering, design, sales, and program management to deliver B2B robotics and autonomy solutions.

Own and coordinate cross-functional pilot and go-to-market projects: track schedules, risks, requirements, meetings, and status; translate technical details into executive updates and deliver independent projects to scale pilot operations.

Support Pilot Operations by coordinating schedules, tracking milestones, translating engineering updates for operations, documenting workflows, tracking issues/risks, creating enablement materials, and owning technical tasks to help scale robotic product deployments.