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Niantic Spatial / independent application guide

Niantic Spatial Software Engineering Intern — Summer 2027: Eligibility & How to Apply

A paid 12-week spatial-computing internship with separate ML/AI infrastructure, product engineering and backend systems tracks in San Francisco.

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College yearCurrent BS or MS student · year not stated
CompensationPaid
Location / arrangementSan Francisco, CaliforniaOn site at least 4 days per week
Availability at reviewSummer 2027 application available at review

Who can apply?

  • Applicants must be pursuing a BS or MS in computer science, robotics, electrical engineering, systems engineering, computer vision or a related field.
  • The infrastructure and backend tracks ask for experience in TypeScript, Python, C++ or Go. The role also expects independent debugging and clear communication in a small team.
  • Candidates select a primary track when applying. The posting describes ML/AI Infrastructure, Product Engineering and Backend Systems as distinct choices with different technical work.
  • Interns must be available in the San Francisco office at least four days per week for the full 12-week program. Housing assistance is available for candidates outside the Bay Area.
Easy to miss

Applicants choose a primary track and switching after matching is described as uncommon. Do not submit a generic AI application that leaves the team unable to see which work you can actually do.

Dates, pay & program timing

No universal cutoff confirmed

The posting describes a 12-week Summer 2027 internship and at least four office days per week. It lists $48–$70 per hour based on skills, experience and coursework, noting that most rising juniors and seniors should expect $50–$60 per hour. It publishes no closing date.

View the deadline calendar

These details reflect the sources at the review date. An overview is not a live job offer. Check the official page for today's application status and the selected opening's written terms.

How to apply to Niantic Spatial

  1. Compare the three tracks before applying and pick the one supported by your strongest coursework, research or project rather than the trendiest title.
  2. Prepare a project explanation tailored to that track: model and data pipeline, product API and workflow, or reliable back-end service and performance work.
  3. Apply through the official posting, select your primary track and confirm that the 12-week San Francisco schedule is financially and academically workable.
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Our editorial advice · not employer requirements

How to prepare a stronger application

For the ML track, distinguish model work from infrastructure work and say what you measured. For product or backend, trace one request from interface to storage and explain a reliability, latency or correctness decision.

The posting accepts coursework, research and projects as evidence for several preferred areas. Label the context honestly and explain what you personally implemented instead of inflating a group project's scope.

Your preparation, on this device

Make it a plan.

Checking an item saves this program. These are planning prompts, not a substitute for the employer's full requirements.

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Niantic Spatial: questions before applying

What tracks does Niantic Spatial offer interns?

The Summer 2027 posting lists ML/AI Infrastructure, Product Engineering and Backend Systems. Applicants select a primary track in the application.

How much does the Niantic Spatial internship pay?

The posting lists $48–$70 per hour, with most rising juniors and seniors expected in the $50–$60 range. Final pay depends on assessed skills, experience and coursework.

Does Niantic Spatial provide housing?

The posting says housing assistance is available for candidates outside the Bay Area. Confirm the actual package during the official process.

Is the Niantic Spatial internship remote?

No. It is based in San Francisco and asks interns to work from the office at least four days each week.

Official sources & update notes

We reviewed these publisher pages on . They establish the program facts above; our preparation suggestions are independent editorial guidance.

We do not infer deadlines, remote eligibility, or guaranteed offers from older recruiting cycles. Read our editorial process.

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