Jobs at Niantic Spatial, Inc.

Productionize computer vision and 3D reconstruction systems for embodied AI. Own spatial output quality, robustness, evaluation infrastructure, performance, throughput, cost, and reliability. Diagnose real-world failures involving calibration, scale, coordinate frames, and scene complexity. Collaborate with research, product, engineering, and customers to deliver production-ready capabilities, workflows, and interfaces for simulation, training, evaluation, and deployment.

Research Scientist developing embodied AI and spatial intelligence systems, including spatial representations, real-to-sim pipelines, 3D scene understanding, simulation-based learning, and robotic policy evaluation. The role involves creating prototypes, applying generative and diffusion models to 3D data, collaborating across research and product teams, publishing findings, and deploying successful innovations at production scale.

Defines Niantic Spatial’s embodied AI market narrative, positioning, messaging, campaigns, competitive intelligence, pricing and packaging. Translates technical capabilities into customer proof, sales assets, partner content, and adoption strategies. Collaborates with product, engineering, research, business development, robotics OEMs, and strategic customers to establish the company as a leader in physical AI.

Build and manage the go-to-market motion for an Embodied AI product. Responsibilities include mapping the robotics market, generating qualified pipeline, developing customer relationships, qualifying use cases, shaping commercial models, and closing early technical-product deals. The role partners closely with product and company leadership to provide customer insights, establish product-market fit, structure evaluations, negotiate agreements, and support successful handoffs.

As a Senior Computer Vision Engineer, you will design and optimize production-grade systems for visual positioning and 3D mapping, leading technical reviews and collaborating across teams.

The Technical Lead for Computer Vision will implement advanced algorithms, mentor engineers, and optimize code in C++ and Python while collaborating across teams.

Develop inbound and outbound pipeline for spatial computing and AI products. Research prospects, conduct personalized outreach, qualify business and technical needs, explain product value, and create qualified sales conversations. Capture product-market-fit signals, maintain accurate records, coordinate handoffs with business development and sales, and share market feedback with marketing, product, and operations teams.

Lead and personally execute full-cycle recruiting across technical, executive, go-to-market, operations, and corporate roles. Advise executives, manage sourcing partners and contract recruiters, improve hiring processes and assessment, own recruiting operations and reporting, implement responsible AI tools, and build the future Talent Acquisition organization. The role is based in San Francisco with four days per week in the office.

Lead the long-term architecture of the Product Engineering ecosystem across products, platforms, APIs, SDKs, cloud services, web, and mobile applications. Conduct architecture reviews, establish engineering standards, prototype complex solutions, contribute production code, mentor senior engineers, and guide research technologies into scalable products. Partner with Product, Research, Design, Security, Infrastructure, and Engineering leadership to align technical strategy, improve scalability and reliability, reduce technical debt, and support long-term customer value.

Serves as the company’s primary legal advisor and builds the legal function from the ground up. Leads enterprise commercial contracting, corporate governance, financing, strategic transactions, compliance, privacy, AI governance, intellectual property, export controls, disputes, and risk management. Establishes scalable legal processes, systems, templates, policies, and outside-counsel strategy while advising executives and the Board and partnering across Sales, Product, Engineering, Finance, Security, and People.

Own technical solutioning from discovery through implementation for enterprise customers, especially in Energy. Design end-to-end cloud/edge/device architectures, lead technical workshops, produce proposals and SOWs, integrate solutions with enterprise systems (APIs, identity, GIS, robotics), partner with Product and Delivery, support pilots and deployments, and maintain repeatable demos to drive commercial outcomes.

Lead technical solutioning for federal accounts from discovery through delivery: design secure end-to-end architectures across cloud, hybrid, edge and classified environments; author RFI/RFP proposals; ensure integrations into federal ecosystems; influence product roadmap; support implementation, accreditation, and transition to sustained operational use.