Jobs at Orca AI

Own the end-to-end navigation algorithm stack for autonomous maritime vessels, including localization, route and path planning, replanning, collision avoidance, encounter reasoning, COLREG-aware behavior, and mission decision logic. Develop real-time C++ and Python algorithms for embedded systems, validate them through simulation and field trials, and manage performance in dynamic, uncertain maritime environments.

Architect and lead the end-to-end autonomous navigation stack for an unmanned surface vessel, covering world modeling, planning, decision-making, vehicle interfaces, safety, and fail-safe behavior. Define system contracts, technical requirements, degradation modes, and validation scenarios while remaining hands-on in critical code. Set technical direction, lead hiring, and mentor the autonomy engineering team.

Build and own the autonomy runtime for autonomous maritime vessels, including ROS2 architecture, C++ modules, lifecycle management, state handling, fault recovery, vehicle interfaces, deployment, CI, observability, simulation, and embedded performance. Integrate with vessel platforms, support bring-up and sea trials, debug field issues, and ensure reliable operation under real-time and degraded conditions.

Provide Tier 2 technical support for systems installed on customer vessels. Troubleshoot hardware, software, Linux systems, networks, VSAT connectivity, firewalls, VPNs, and marine equipment integrations. Support remote installations, coordinate with onboard engineers and vessel crews, visit Singapore ports two to three times weekly, document technical findings, escalate complex issues, and participate in on-call support.

Own and grow strategic B2B customer relationships in Japan across the post-sale lifecycle, including implementation, onboarding, training, adoption, value realization, retention, renewal, and expansion. Act as a cultural and business bridge between Japanese customers and global teams, represent customer needs internally, identify risks and opportunities through customer and product data, and support commercial growth. The role requires regular customer engagement, domestic travel in Japan, and occasional international travel.

Build and operate scalable data platforms, high-volume batch and streaming ingestion pipelines, data lake infrastructure, and distributed processing systems. Manage Kubernetes and KEDA autoscaling, provision infrastructure with Terraform, and support orchestration platforms such as Airflow or Prefect. Ensure data quality, governance, compliance, and performance while providing technical guidance on infrastructure, CI/CD, testing, and system design.

Drive new enterprise customer acquisition, create and execute strategic sales plans, expand and manage pipeline, negotiate at executive level, forecast revenue, build strong customer relationships, and lead/grow a high-performing Singapore-based sales team.

The Business Development Director will lead growth strategies in defense sectors, managing the sales cycle, building partnerships, and analyzing market needs.

The AI Software Engineer will optimize computer vision pipelines for edge systems, ensuring performance and reliability while processing real-time maritime video streams.

Lead market expansion into defense and government sectors across Europe and ROW. Own end-to-end capture and closing of complex government and defense contracts, build strategic partnerships, identify and penetrate new DoD/federal market segments, and translate government requirements into actionable product feedback for engineering and product teams.

Manage day-to-day operational activities across customers and internal teams: coordinate deployments and field work, track installations and requests, escalate and remove blockers, maintain documentation and reports, support customer communication and technical troubleshooting, and improve operational processes.

Design, build, and operate scalable data platform infrastructure, including high-volume batch and streaming ingestion, data lake architecture, Kubernetes-based processing with KEDA, Terraform IaC, data orchestration (Airflow/Prefect), Snowflake usage, and performance tuning to support analytics and AI workloads.