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Sweep360

Software Engineer, Product

  • Seen live on Sweep360's site 3 days ago
  • Mid level
Pay
Not stated
Location
New York, New York, United States
Open for
10+ days
First seen
Oct 25, 2026
Apply on Sweep360's site (opens in a new tab)

Posting record

No flags

Open 10+ days

The posting's record, oldest first
  1. Sweep360's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Sweep360, so its true age is longer.

Last checked Nov 1, 2026.

How well do you match?

See how much of this posting your resume shows, and what it's missing.

Upload your resume

What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

TL;DR – We’re building humanity’s defense layer for the AI age and are looking for a Firmware Engineer to build systems that operate in real environments and survive contact with reality.

If you would have joined Nest before connected devices became commonplace—or Figure AI before humanoids left the lab—to build the firmware that made them trustworthy, this is that role.

Why Sweep?

As intelligent machines proliferate into every part of the physical world, we humans still lack a defense layer to ensure the systems and devices we rely on remain aligned with us.

We’re building that layer today by deploying alongside the world’s highest-stakes teams — Olympic delegations, F1 paddocks, halftime shows, global tours, studio productions, senior government officials, and executive protection units. What we learn there becomes the foundation for a civilization-defining capability.

We’re a small, talent-dense team with high ownership, high velocity, and low ego. We care deeply, move fast, and are here to build something that outlasts us.

Together, we’ll redefine cyber-physical security for the AI age.

What makes this role special?

  • You’ll define how this system is used.
  • There’s no existing interface for this category.
  • What you ship will be used immediately by the world’s highest-stakes teams.
  • You’ll operate in environments you might not talk about, but won’t forget.
  • Influence Sweep’s core product direction and technical roadmap from day one.
  • Gain pre-Series A ownership as one of the first 10 engineers.

What we’re looking for...

  • 4–8 years shipping reliable production systems.
  • Polyglot engineer comfortable moving between TypeScript, Python, and systems languages like Rust or Go as the problem demands.
  • Comfortable deploying and integrating with cloud systems like AWS or GCP in production environments.
  • Obsess over software quality, reliability, and maintainability.
  • Built production systems using LLMs, vector databases, and retrieval pipelines.
  • Thrived in an early-stage startup.
  • U.S. Person status required. May involve export-controlled data.

Bonus if you’ve...

  • Built production web applications used by technical or operational teams.
  • Built iOS applications or worked closely with native mobile teams.
  • Integrated LLMs, vector databases, or graph-based reasoning into production products.
  • Created secure operational dashboards, admin tooling, or internal developer platforms.
  • Worked with IoT, BLE/Wi-Fi, spatial computing, or sensor-driven products.
  • Optimized backend systems and databases under production load.

What you’ll do...

  • Own user-facing systems and internal tools.
  • Build product systems across web, mobile, and internal tooling.​​
  • Integrate with backend systems and deploy product-facing services.
  • Turn customer workflows into production product capabilities using LLMs, graph reasoning, and sensor data.
  • Ensure reliability through testing, automation, and tight feedback loops.
  • Work directly with customers and deployments globally (~10–15% travel).

How we select...

  • Short application
  • 20-minute intro call
  • Technical deep-dive
  • Practical problem discussion
  • References and offer

Final facts.

Base salary up to $220,000 depending on qualifications, experience, and impact. Total compensation includes equity, premium insurance, 401(k), flexible PTO, and other individual benefits.

You’ll join us on-site at our HQ in New York City with occasional domestic and global deployments.

Apply. Build humanity’s defense against machines.

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