Jobs at Rapyuta Robotics

Analyze warehouse volumes, operational logs, and customer data to support ASRS planning. Run simulations, identify bottlenecks, create customer operational reports, and improve analytical processes and tools. Collaborate with pre-sales engineering, sales, solutions, engineering, and operations teams, communicating findings and improvement ideas for product development and customer negotiations.

Lead corporate finance with primary ownership of equity fundraising and capital strategy. Build investor relationships, negotiate financing transactions, prepare investor and governance materials, and oversee accounting, legal, financial reporting, budgeting, forecasting, and IPO-readiness specialists. Manage cross-functional finance team members and represent the company to domestic and international investors in English and Japanese.

Own full sales cycle for robotics automation deals: run discovery, model solutions and ROI in Excel, produce proposals, lead customer meetings and partner relationships, and close deals while collaborating with engineering and analytics teams.

Lead and grow an AMR software engineering squad, drive reliable delivery and execution, provide technical and architectural leadership, enforce engineering quality, and mentor engineers across career stages.

Recruit engineering talent across India and the US by developing hiring strategies, managing vendors and stakeholders, meeting hiring timelines, building talent pipelines, and supporting referrals, campus recruiting, job fairs, hiring drives, and assessment centers. The role also provides market intelligence, talent insights, and hiring analytics while ensuring a positive candidate experience.

The Quality Assurance Architect will develop and manage QA strategies, oversee testing frameworks, mentor teams, and ensure quality governance for robotics systems across agile teams.

The QA Engineer will test robotics systems, create test plans, automate testing, mentor juniors, and improve QA processes. Requires 6+ years in QA.

Develop interactive interfaces, dashboards, and data-intensive web applications for robotics systems. Build frontend features using TypeScript, React, Redux Toolkit, CSS, HTML, and APIs while maintaining reliability, performance, testing, and packaging standards. Mentor and uplift engineers, contribute hands-on code, solve challenging technical problems, and prioritize excellent user experiences.

Lead end-to-end product management for ASRS solutions: gather customer insights through on-site engagement, define requirements, prioritize ART backlog, coordinate with engineering and operations for continuous delivery, and ensure regulatory and market alignment across regions.

As a Product Manager at Rapyuta Robotics, you will define and execute the ASRS product roadmap, bridge operations and development, conduct market research, and specify integration requirements.

As a Robotics Control Systems team member, design and maintain robotics control software, focusing on multi-robot control, path planning, and task allocation. Collaborate on architecture, improve processes, and address customer challenges while ensuring user-focused development.

As an Engineering Manager, lead teams to deliver robotic and software systems, ensuring quality and engineering excellence while fostering team culture and development.

Lead a hands-on team to build and manage a Data & Analytics Platform, delivering standardized analytics models and automation solutions to support operations across departments.

Lead collaboration with software developers in embedded systems product development. Design robotic systems, optimize device drivers, and enhance continuous integration. Mentor junior engineers and oversee project management.

The Systems Engineer facilitates collaboration among robotics, QA, and Deployment engineers, focusing on deployment automation, QA infrastructure, simulation environments, and operational support for robotics systems.

Design, implement, and optimize embedded device drivers and inter-processor communication for MCU and Linux platforms. Contribute to embedded architecture across bare-metal firmware, RTOS, hardware abstraction, and host libraries. Lead board bring-up and hardware-firmware debugging with test automation, build/flash CI, and collaboration with electronics and robotics teams.

Design, build, and scale enterprise AI platforms and backend systems (RAG pipelines, AI agents, MCP services, cloud-native microservices). Collaborate with stakeholders to translate needs into reliable production solutions, improve observability/CI/CD/automation, and promote adoption of AI-assisted engineering across robotics and logistics domains.