Senior Software Engineer at AutoHDR

Austin, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

21 Jul, 26

Salary

400000.0

Posted On

22 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Computer vision, Machine learning, Backend development, Frontend development, Full-stack development, Distributed systems, Media processing, AI workflows, Algorithm optimization, Product development, System architecture, Debugging, Automation, Mobile development, Infrastructure

Industry

Photography

Description

About the Company AutoHDR is an AI real estate photo editing company, processing 20% of all US real estate photos. About the Role We are looking for unusually strong engineers who can ship broadly across the stack and also bring specialized knowledge/experience in at least one high-value area. We want builders who can contribute to product features, backend systems, internal tools, debugging, and AI workflows, while also being especially strong in something like computer vision, ML, frontend, media processing, or high-throughput systems. Responsibilities AI image editing systems Backend services and product features Training and inference pipelines Model-serving and media-processing workflows Optimize computer vision and other algorithms for accuracy and speed Improve development systems, internal tools/automations, and squash bugs Impliment/improve full-stack features for: User-facing AI image editing tools New property manipulation tools (virtual staging, re-lighting, grass-greening, etc) Our photo editing model style marketplace Automated video editing through user-created workflows Qualifications You are a high-agency builder who likes ownership You can operate across frontend, backend, and product work You have demonstrated exceptional ability in somemeaningful way You may be a founder, CTO, founding engineer, first engineer, or someone who owned a core product or platform You may have a specialty in computer vision, ML, AI, frontend, distributed systems, media infrastructure, or mobile Required Skills Important: We do want specialists, but not strict specialists who only look useful inside a narrow research or data science lane. If your best work is only inside the model layer and there’s no evidence you can contribute broadly to product and engineering, this is probably not the right fit Strong backgrounds we're looking for: Founder / co-founder / CTO / founding engineer experience Zero-to-one product building Extraordinary ownership over a core feature or system Hard technical environments Real shipped products with real users Exceptional open-source, research, or competitive ability when it clearly reflects real technical horsepower If that sounds like you, apply. Location: Downtown Austin, TX Open to making exception for exceptional engineers, working remotely in SF Compensation: $300,000 - $400,000 and up base salary + equity and bonuses Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not bonuses. AutoHDR Core Values: Our core values are the fuel for our continuous 20% month over month growth. Iron sharpens iron in our office, and the entire dev team is bought in to winning together. Persistence You believe anything is possible - the only variable is how long it will take. You will always continue trying to solve a problem, look for new solutions, and figure it out at all costs through continous effort - even when most would give up. Optimism You believe strongly that you can accomplish anything you want - regardless of the odds. Even when the worst case scenario happens, and everything is on fire, you never doubt your ability to pull through and win at what you set out to do. Competitive greatness Every individual on our team wants to be the best in the world at what they do. We are extremely compeitive, and will settle for nothing other than being the #1 player for AI real estate editing.

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Responsibilities

The engineer will develop AI image editing systems, backend services, and training pipelines while optimizing algorithms for accuracy and speed. They will also implement full-stack features for user-facing tools, virtual staging, and automated video editing workflows.