Niantic Spatial, Inc.

Robotics

• Lead engineering for Niantic Spatial's real-to-sim product within the Embodied AI group
• Inform the product roadmap using firsthand knowledge of customer pain, existing solutions, and customer value
• Own technical requirements and guide pragmatic design of the real-to-sim stack
• Make final recommendations on what to build, integrate, and simplify
• Ensure capabilities work within customers' existing training and evaluation workflows
• Design and run reproducible evaluations with the Real-World Test Lab
• Measure the impact of the real-to-sim stack on policy transfer and real-world performance against customers' existing approaches
• Lead engineering delivery and personally build critical features
• Keep scope tight, remove blockers, and deliver performant capabilities to customers quickly
• Set a high technical bar and deepen the team's understanding of robotics development and deployment
• Collaborate with the group's General Manager, Product leader, researchers, engineers, and customers

Staff Engineer – Robot Learning, Embodied AI

• Manage the fleet of capture devices, sensors, and robots, including inventory, calibration, firmware, maintenance, logistics, and spares
• Characterize platform capabilities and limitations
• Design, build, and operate physical test environments with controlled layouts, lighting, markers, obstacles, and ground-truth references
• Create rigs, mounts, references, and measurement setups for trajectory ground truth, positional accuracy, timing, synchronization, and condition logging
• Integrate physical-run results into the automated evaluation system through data offload, run metadata, and structured condition capture
• Execute robot runs and device-in-the-loop tests, including robot bring-up, teleoperation, scripted trials, and repeatable test sessions
• Engineer and execute physical counterparts to simulated scenarios for valid sim-to-real comparisons
• Define and maintain safe operating procedures for robots and powered equipment
• Coordinate access and safety requirements with workplace services, IT, Legal, and site owners
• Automate configuration, calibration checks, data offload, and condition logging
• Report to the Director of the Real-World Test Lab

Hardware Operations Engineer – Robotics, Real-World Test Lab

QA Automation Engineer

• Own end-to-end automation for Lab evaluations, including environment setup, run orchestration, artifact capture, and result collection
• Instrument scorecards to compare results across product versions, devices, and capture conditions
• Build agent workflows that exercise priority customer use cases at realistic scale across varying difficulty levels
• Convert one-off experiments into standing protocols that run on every relevant release
• Automate recurring inspection and route tasks requiring human judgment to scalable human review
• Produce actionable diagnostics with reproducible cases and attached data
• Collaborate with the AI Data Manager to ensure runs are reproducible from known dataset states
• Report to the Director of the Real-World Test Lab
• Deliver one fully automated priority workflow within 30 days
• Enable automatic evaluation triggers and failure routing within 60 days
• Place three priority workflows under standing automated evaluation with version comparisons within 90 days

AI Automation Engineer – Real-World Test Lab

Technical Recruiter

• Own end-to-end recruiting for technical and non-technical roles, from intake and kickoff through offer acceptance and close
• Partner with hiring managers and leaders to define role requirements, candidate profiles, interview processes, and sourcing strategies
• Build and execute proactive sourcing plans through direct outreach, referrals, networking, and recruiting platforms
• Recruit across software engineering, machine learning, AI research, product, sales, marketing, operations, finance, and people functions
• Run structured recruiter screens evaluating qualifications, motivations, and cultural alignment
• Drive an efficient interview process and positive, responsive candidate experience through onboarding
• Advise hiring managers on market trends, compensation benchmarks, and hiring best practices
• Manage offers, negotiations, and closing; maintain candidate records and recruiting metrics in Ashby
• Champion fair and inclusive hiring practices and improve recruiting workflows, process efficiency, and employer brand

Senior Technical Recruiter, Contract

Research Scientist

• Develop new spatial representations that embodied AI can learn from, train in, and act on
• Advance real-to-sim pipelines connecting real-world observations, 3D reconstruction, simulation, and robotic policy learning
• Solve emerging problems related to spatial intelligence, 3D scene representation, training data, model efficiency, and interactive systems
• Take new capabilities through to evidence, measuring what changed for the policy, not only what changed in the reconstruction
• Build proof-of-concept prototypes for internal use, with some running at production scale on customer data
• Collaborate with researchers, engineers, and product partners to bring novel models to production
• Publish and present research work

Research Scientist, Embodied AI

Computer Vision Engineer

• Turn research ideas and prototypes into reliable computer-vision and 3D reconstruction pipeline components and services
• Ensure reconstructed environments and spatial artifacts are geometrically coherent, correctly scaled and aligned, and usable by downstream simulation and embodied AI systems
• Diagnose failures caused by capture quality, scene complexity, scale, calibration, coordinate conventions, and other implicit assumptions
• Profile and optimize GPU and distributed workloads, reduce unnecessary reruns, and help establish the economics of running reconstruction at scale
• Create datasets, regression tests, quality gates, and benchmarking tools
• Bring production and customer constraints into research planning and prioritize advances for embodied AI
• Partner with Embodied AI product and engineering teams to understand customer requirements and deliver capabilities for training, evaluation, and deployment workflows
• Evolve representations, tooling, and operational systems for moving reconstructed environments into customer applications
• Work across research, engineering, product, and customer teams to turn advances in 3D reconstruction and spatial perception into production capabilities

Senior Computer Vision Engineer, Embodied AI

Product Marketing

• Co-develop and continuously sharpen Niantic Spatial's category, positioning, and messaging for embodied AI
• Carry the market narrative across the website, campaigns, sales materials, and partner communications
• Build messaging around the embodied AI stack, including real-world capture, simulation-ready digital twins, policy training, and visual-spatial intelligence
• Partner with Product, Engineering, Research, and Business Development to turn technical capabilities into customer-facing proof
• Ensure messaging distinguishes shipped capabilities, validated work, and roadmap items
• Build and maintain the target-account list for robotics and physical AI
• Run competitive intelligence and translate it into positioning, enablement, and guidance
• Shape pricing, packaging, and initial product-led growth motions
• Develop and execute awareness and qualified-interest campaigns
• Build co-marketing and case-study partnerships with robotics OEMs, simulation ecosystems, and strategic customers

Senior Product Marketing Manager, Embodied AI

• Build and maintain a comprehensive view of prospects, use cases, contacts, funding, hiring, launches, and deployments
• Develop qualified pipeline through relationships, targeted outreach, introductions, and events
• Engage with customer communities and turn effective approaches into repeatable processes
• Immerse in customer workflows to establish fit, urgency, and buying processes
• Bring customer and product-market alignment insights to the General Manager and Product leader
• Develop relationships with accounts that are not yet ready to buy
• Work with Marketing on insights, introductions, content, and events
• Run opportunities through evaluation, proposal, negotiation, and signature
• Define evaluation success criteria, decision-makers, and post-success steps
• Prepare colleagues for customer handoffs and remain engaged through delivery
• Help design commercial models and structure early deals for a maturing product

GTM, Embodied AI

Sales Development Rep

• Respond to inbound interest, qualify initial fit, and uncover business and technical priorities
• Develop outbound campaigns with Marketing and Business Development, testing audiences, messages, channels, and calls to action
• Research target accounts across oil and gas, defense and public sector, and embodied AI industries
• Conduct personalized outreach through email, phone, LinkedIn, events, and other channels
• Explain Niantic Spatial's products and connect capabilities to customer problems for technical and executive audiences
• Ask questions about systems that need to understand the physical world and identify promising use cases
• Route relevant context to Product, Sales, and technical teams to assess product-market fit
• Translate discovery notes into customer needs, proposed solutions, initial scope, and next steps
• Partner with Business Development on the first proposal and move opportunities into the sales process
• Capture prospect patterns, pain points, objections, terminology, competitive context, and emerging use cases
• Share insights with Marketing, Business Development, Product, and Operations
• Improve processes, data quality, and tooling using automation and AI