Senior Software Engineer, Video

What We Value:

• Impact: You will own significant responsibility and have total ownership over your work. We stay lean and efficient, so your work directly impacts the product we ship every day.
• Simplicity: Complexity is a waste of time here—we take pride in building things that just work.
• Hard Work: Forget the glamorous research papers. We prioritize the hard work it takes to achieve real-world clarity and accuracy. You will innovate relentlessly to push the boundaries of what’s possible in visual automation.
• Humility: No task is beneath you. Whether it's high-level architecture or grunt work to fix a bug, we check our egos at the door and get real work done.
• Ruthless Prioritization: If everything is on fire, nothing is. You will be expected to prioritize ruthlessly, cutting through distractions to focus on the most impactful product improvements.
• Customer Innovation: We are customer-centric, not customer-pleasing. You won’t bend to every client demand; you will let innovation drive the product forward to solve the real problems our users face.
• Efficiency: Meetings suck. We keep them short and only use them for alignment, giving you your time back to focus on real work.

You Will Be

• Writing the actual code, end to end, for a 0-to-1 pipeline: capturing feeds from in-store cameras, encoding, and getting that video where it needs to go, whether that's processed on-site or ingested and stored in the cloud, with no existing system to extend
• Making real codec and streaming-protocol decisions: encoding formats, bitrate/quality tradeoffs, adaptive streaming
• Making fast, pragmatic calls on architecture with incomplete information, and being fine revisiting them as real-world store conditions prove you wrong
• Getting the first feature or two working end-to-end (e.g. a monitoring view, or feeding footage into an early AI feature) to prove the pipeline works
• Working alongside a small, scrappy group across hardware, ML, and backend, figuring out together what "good" looks like, not inheriting a spec
• Dealing with the reality of store hardware: varying camera models, spotty or shared network connections, and physical sites you can't always control
• Doing whatever the moment calls for: debugging a flaky store network connection one day, writing a service to process or ship video the next
• Using AI coding tools to move fast: prototyping quickly, cutting through boilerplate, and iterating on architecture without getting bogged down

Minimum Qualifications

Preferred Qualifications

• Startup experience, ideally on a small or newly-formed team where you wore multiple hats. 
• Experience with camera or video hardware in the field (not just cloud-side video), especially dealing with inconsistent hardware or network conditions
• Comfortable working alongside ML engineers without needing to own the modeling work yourself
• Knowledge of infrastructure as code (Terraform, Ansible, etc.) and cloud environments like AWS
• Good knowledge of algorithms and data structures
• Fluent with AI coding tools (Claude Code, Cursor, etc.) as a default part of how you build and prototype

What We Offer

• An opportunity to work on a small, multidisciplinary team with the potential to break new ground in many different industries
• Excellent health, dental and vision insurance for you and your dependents
• 401k plan
• Flexible PTO policy
• Catered lunch in office with fully stocked snacks and beverages
• Pet insurance for your fur babies
• Voluntary life insurance plan
• Competitive salary and options in a small, rapidly scaling company