Gather AI Jobs Hiring Now
Gather AI is hiring for 7 open roles on Migrate Mate as of July 16, 2026, concentrated in software engineering and creative & design. Migrate Mate updates Gather AI's live openings daily. Gather AI builds autonomous drone and robotics technology for inventory management in warehouse and manufacturing environments.
Find Gather AI JobsOverview
Gather AI hiring data on Migrate Mate, as of July 16, 2026.
- Open jobs
- 7
- Top team
- Software Engineering
- Seniority
- Manager level or above
- Work type
- 0% remote or hybrid
- Top location
- Pittsburgh
Open Roles at Gather AI
Showing 7 of 7+ Gather AI jobs
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 the Team
You'll join the fullstack and WMS integration teams at a pivotal moment: live systems, real enterprise customers, and a platform being deliberately re-engineered from growth-era tradeoffs into a durable, enterprise-grade foundation. The team owns everything from customer-facing integrations to the core services and data layer beneath them, and works in close partnership with product, security, and customer success to turn ambiguous requirements into dependable, well-architected systems.
About the Role
Most staff engineering roles ask you to choose between architecture and code, or between engineering and customers. This one doesn't. As Staff FullStack Engineer, you'll set the technical direction for how Gather AI's platform integrates with the world, while staying hands-on with the code, infrastructure, and Kubernetes clusters that run it. You'll lead the shift from ad hoc, growth-era integration patterns to enterprise-grade standards, elevate a live customer-facing solution alongside the engineer already driving it, and become the single US-based point of contact who turns customer requirements into shipped, scoped engineering work.
- Architect and build across distributed systems, APIs, integrations, and infra shipping your own code with performance, fault-tolerance, and horizontal scale as first-class design concerns.
- Own the platform's non-functional bar by setting explicit targets for scalability, reliability, availability, latency, performance, security, and observability, and holding the full stack to them.
- Partner with team members on multiple projects like MHEV, Drone and 3DCC to elevate and deliver solutions in technical design and take new requirements to production at high SDLC standards (testable, observable, well-scaled, tuned DB access).
- Decompose overloaded APIs into well-bounded services and introduce data-access abstractions that control DB connections and improve scalability.
- Retire reliability and compliance debt (e.g., PostgreSQL upgrades), stand up production observability metrics and alerts, and reduce delivery friction with CI/CD and AI-assisted delivery.
- Serve as the US-based single point of contact for fullstack work, partnering with Customer Success to turn customer requirements into clear, well-scoped engineering.
- Mentor senior engineers and raise the bar on engineering practices across backend and infrastructure.
- 8+ years building and operating production software, with a track record of taking large, stateful systems to enterprise-grade scale and reliability
- Deep hands-on experience with Python, Go and Node.js, PostgreSQL at production scale, and Kubernetes on Azure, from architecture through independent production debugging
- Depth in APIs and integrations across internal service-to-service and external partner integrations: REST, protobuf, messaging, and OAuth, plus secure integration protocols across HTTP, SFTP, email, and IPSec, designed for resilience and secure data exchange
- Deep grasp of non-functional design: scalability, availability and failure modes, latency budgets, caching, and security as first-class concerns, not afterthoughts
- Solid, hands-on CI/CD: building and owning automated build, test, and deployment pipelines that make delivery fast and safe
- Production-grade observability: instrumenting logs, metrics, and traces, and using them (with SLIs/SLOs and incident response) to keep systems healthy
- Practical AI-assisted engineering, using tools such as Claude across the SDLC with sensible guardrails
- Establishing best practices that raise team's engineering standard
- Comfortable running customer-facing technical conversations and translating ambiguous requirements into scoped engineering work
Nice to Have
- Domain experience in logistics, warehouse management systems, or robotics-adjacent platforms
- Experience taking systems multi-region with read-write replication or geo-distribution
- Experience adopting AI across the software development lifecycle, including GenAI code-validation guardrails
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 the Team
You'll join the fullstack and WMS integration teams at a pivotal moment: live systems, real enterprise customers, and a platform being deliberately re-engineered from growth-era tradeoffs into a durable, enterprise-grade foundation. The team owns everything from customer-facing integrations to the core services and data layer beneath them, and works in close partnership with product, security, and customer success to turn ambiguous requirements into dependable, well-architected systems.
About the Role
Most staff engineering roles ask you to choose between architecture and code, or between engineering and customers. This one doesn't. As Staff FullStack Engineer, you'll set the technical direction for how Gather AI's platform integrates with the world, while staying hands-on with the code, infrastructure, and Kubernetes clusters that run it. You'll lead the shift from ad hoc, growth-era integration patterns to enterprise-grade standards, elevate a live customer-facing solution alongside the engineer already driving it, and become the single US-based point of contact who turns customer requirements into shipped, scoped engineering work.
- Architect and build across distributed systems, APIs, integrations, and infra shipping your own code with performance, fault-tolerance, and horizontal scale as first-class design concerns.
- Own the platform's non-functional bar by setting explicit targets for scalability, reliability, availability, latency, performance, security, and observability, and holding the full stack to them.
- Partner with team members on multiple projects like MHEV, Drone and 3DCC to elevate and deliver solutions in technical design and take new requirements to production at high SDLC standards (testable, observable, well-scaled, tuned DB access).
- Decompose overloaded APIs into well-bounded services and introduce data-access abstractions that control DB connections and improve scalability.
- Retire reliability and compliance debt (e.g., PostgreSQL upgrades), stand up production observability metrics and alerts, and reduce delivery friction with CI/CD and AI-assisted delivery.
- Serve as the US-based single point of contact for fullstack work, partnering with Customer Success to turn customer requirements into clear, well-scoped engineering.
- Mentor senior engineers and raise the bar on engineering practices across backend and infrastructure.
- 8+ years building and operating production software, with a track record of taking large, stateful systems to enterprise-grade scale and reliability
- Deep hands-on experience with Python, Go and Node.js, PostgreSQL at production scale, and Kubernetes on Azure, from architecture through independent production debugging
- Depth in APIs and integrations across internal service-to-service and external partner integrations: REST, protobuf, messaging, and OAuth, plus secure integration protocols across HTTP, SFTP, email, and IPSec, designed for resilience and secure data exchange
- Deep grasp of non-functional design: scalability, availability and failure modes, latency budgets, caching, and security as first-class concerns, not afterthoughts
- Solid, hands-on CI/CD: building and owning automated build, test, and deployment pipelines that make delivery fast and safe
- Production-grade observability: instrumenting logs, metrics, and traces, and using them (with SLIs/SLOs and incident response) to keep systems healthy
- Practical AI-assisted engineering, using tools such as Claude across the SDLC with sensible guardrails
- Establishing best practices that raise team's engineering standard
- Comfortable running customer-facing technical conversations and translating ambiguous requirements into scoped engineering work
Nice to Have
- Domain experience in logistics, warehouse management systems, or robotics-adjacent platforms
- Experience taking systems multi-region with read-write replication or geo-distribution
- Experience adopting AI across the software development lifecycle, including GenAI code-validation guardrails
Job Roles at Gather AI
Working at Gather AI
Gather AI's 7 open roles are manager level or above, and about 0% are remote or hybrid. The most active teams are software engineering, creative & design, and project & program management. Gather AI develops autonomous drone systems and machine learning software used to automate inventory tracking in warehouses and manufacturing facilities. The work spans robotics engineering, machine learning research, full-stack software development, and technical program management. Most Gather AI roles are based in Pittsburgh and Greater Pittsburgh Region.
Explore more roles by function
Browse thousands of live openings across engineering, sales, product, and more, and apply in just a few clicks.
Browse jobs by roleGather AI Jobs: Frequently Asked Questions
How many jobs is Gather AI hiring for right now?
Gather AI is hiring for 7 open roles on Migrate Mate as of July 16, 2026, updated daily, concentrated in software engineering and creative & design. Positions span robotics engineering, machine learning, software development, and technical program management. Migrate Mate pulls Gather AI's listings directly so the count reflects what is actively open.
What kinds of roles does Gather AI hire for?
The most active teams are software engineering, creative & design, and project & program management. Gather AI's open roles span machine learning research and engineering, robotics systems engineering, full-stack software development, UX design, and technical program management. Most postings are manager level or above, reflecting the company's focus on senior contributors who can work across autonomous systems, AI modeling, and product infrastructure.
Are Gather AI jobs remote or in-person?
Mostly on-site. About 0% of Gather AI's open roles on Migrate Mate are remote or hybrid as of July 16, 2026, with the rest based in Pittsburgh. Each Gather AI listing shows its work location so you can filter before applying.
How do I apply to a job at Gather AI?
Find a Gather AI role on Migrate Mate, then follow the listing through to Gather AI's own careers page to complete the application. Gather AI manages its own hiring process, including interviews and offers. Migrate Mate does not process applications and has no involvement in Gather AI's recruiting decisions.
Does Gather AI hire entry-level?
Most of Gather AI's open roles on Migrate Mate are manager level or above as of July 16, 2026. Entry-level openings are limited. Check individual Gather AI listings for stated experience requirements.
Where is Gather AI hiring?
Most Gather AI roles are based in Pittsburgh and Greater Pittsburgh Region, and about 0% offer remote or hybrid work as of July 16, 2026. Migrate Mate shows the location on each listing.