Jobs at Dexmate

Drive execution of the software platform roadmap by coordinating frontend, backend, cloud infrastructure, AI/data, and robotics teams. Manage roadmaps, milestones, dependencies, integration, testing, release readiness, production rollouts, risk mitigation, and stakeholder communications to ensure timely platform releases.

Support the CEO across strategy, operations, fundraising, and investor communications; run research and prepare high-stakes materials; build operating systems, dashboards, SOPs; coordinate with customers, vendors, legal, finance, and banking to drive cross-functional execution.

Hands-on Financial Controller to build and own accounting infrastructure, lead monthly/quarterly close, manage AP/AR/payroll, tax compliance, cash/treasury, inventory/COGS and fixed assets, support fundraising, investor reporting, and partner with leadership on planning and KPIs.

Lead growth and demand-generation for a robotics/physical AI platform. Build and run multi-channel campaigns (paid, email, ABM, events), optimize paid channels and SEO, instrument full-funnel attribution and reporting, partner with sales on ICP and lead handoff, and support launches and events to drive demo requests and revenue.

Develop advanced algorithms for AI model training, conduct research in robotics, and implement control algorithms for manipulation in robots.

The Robotics Navigation Engineer will design and implement navigation algorithms for mobile robots, improve navigation systems, and work on software development and testing.

Develop full-stack solutions for a robot management portal, including user authentication and data management, leveraging cloud-based technologies.

Seeking a PhD research intern to develop algorithms for robot manipulation, working on AI models and collaborating in a robotics startup environment.

Build interactive web UI components and real-time visualizations for a robot platform using modern frontend frameworks, collaborate cross-functionally, use AI-assisted development tools, and learn CI/CD and testing workflows while contributing to production code.

As a Senior UI/UX Designer, you will create innovative user experiences for robotics, leading research and design processes across mobile, web, and physical interfaces.

Develop and optimize firmware for robotics, ensuring communication and control systems work efficiently. Collaborate with multiple engineering disciplines and maintain firmware standards.

The Product Manager for Physical AI Agents will define the product roadmap, translate AI capabilities into features, and ensure quality evaluation for robotic agents while collaborating with research and engineering teams.

Develop and implement control and estimation algorithms for robots, collaborating with teams to optimize performance and validate algorithms through testing and analysis.

Design and implement reinforcement learning algorithms for robotics tasks, optimizing training pipelines, collaborating with engineers, and conducting performance experiments.

Lead development and analysis of high-fidelity finite element and multi-body dynamic models for robotic systems. Perform static, dynamic, durability, and MBD simulations, guide mechanical design with actionable insights, validate models with experimental testing, optimize structures for weight and stiffness, support failure investigations, and develop CAE workflows and best practices across multidisciplinary teams.

Perform research and develop learning-based manipulation, navigation, and control algorithms (RL/IL, perception, control) on simulators and real robots. Implement state-of-the-art models using deep learning frameworks, collaborate with cross-functional teams, and build robust manipulation skills for robot platforms.

Design, train, and deploy learned policies for robot manipulation and whole-body control. Build and operate training infrastructure, scale distributed GPU training, iterate between simulation and physical robots, debug failures, and collaborate with controls, embedded, and hardware teams to deliver production-ready robot learning systems.

Develop, integrate, and validate control policies and learned models on physical robots. Diagnose cross-disciplinary hardware/firmware/software issues, characterize sensors and actuators, define subsystem requirements, and build test plans to ensure reliable robot operation across tasks and environments.

Build and maintain CI/CD, test infrastructure, and release pipelines across cloud, edge, and robot software. Create automated release gates for correctness, performance, reliability, and compatibility. Develop integration, regression, end-to-end, performance, and failure testing infrastructure; improve observability, failure diagnosis, rollback readiness, and feedback loops. Partner with software, embedded, and robotics teams to establish scalable quality standards.

Design, build, and deploy production-grade AI agents and chat/agent experiences that integrate LLMs, multimodal models, tools, and robotics. Implement evals, guardrails, observability, and lifecycle ownership from system design through rollout and monitoring to ensure reliable agent behavior.