AutoHDR is an AI real estate photo editing company, processing 20% of all US real estate photos.
About the RoleWe are looking for unusually strong engineers who can ship broadly across the stack and also bring deep expertise in cloud infrastructure, distributed systems, and high-throughput production environments.
We want builders who can contribute to product features, backend systems, and AI workflows, while owning and scaling the cloud infrastructure that powers them.
ResponsibilitiesDesign, build, and operate scalable cloud infrastructure across compute, storage, and networking
Own deployment, orchestration, and reliability of AI image editing systems
Build and maintain backend services and high-throughput pipelines
Manage training and inference infrastructure (GPU workloads, scheduling, cost optimization)
Improve model-serving and media-processing workflows for speed and reliability
Optimize systems for latency, throughput, and cost at scale
Improve observability, debugging, and incident response systems
Build internal tooling, automation, and CI/CD pipelines
User-facing AI image editing tools at scale
High-volume media processing pipelines
Distributed training and inference systems
Our photo editing model style marketplace
Automated video editing workflows
You are a high-agency builder who likes ownership
You can operate across infrastructure, backend, and product systems
You have demonstrated exceptional ability in a meaningful way
You may be a founder, CTO, founding engineer, or owned a core platform or infrastructure system
You have strong experience with cloud systems, distributed systems, or high-scale infrastructure
Important: We do want specialists, but not strict specialists who only operate in isolated infrastructure silos.
If your work is purely infra with no connection to product or system impact, this is probably not the right fit.
Strong backgrounds we’re looking for:
Founder / co-founder / CTO / founding engineer experience
Zero-to-one infrastructure or platform building
Ownership of critical production systems at scale
Experience with cloud platforms (AWS/GCP), container orchestration (Kubernetes), and distributed systems
Managing high-throughput systems, GPU workloads, or large-scale data pipelines
Real systems in production with real users
Exceptional open-source or systems work that demonstrates real technical horsepower
Downtown Austin, TX
Open to making exceptions for exceptional engineers, working remotely in SF
Compensation$180,000 – $280,000+ base salary + equity and bonuses
Final salary will be based on a number of factors including level, relevant experience, skills, and expertise. This range is only inclusive of base salary, not bonuses.
AutoHDR Core ValuesOur 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 continuous effort — even when most would give up.
Optimism
You believe strongly that you can accomplish anything you want — regardless of the odds. Even when everything is on fire, you never doubt your ability to pull through.
Competitive Greatness
Every individual on our team wants to be the best in the world at what they do. We are extremely competitive and will settle for nothing other than being the #1 player in AI real estate editing.
Skills Required
- High-agency builder who takes ownership
- Ability to work across infrastructure, backend, and product systems
- Demonstrated exceptional ability in a meaningful way
- Experience as a founder, CTO, founding engineer, or owner of a core platform or infrastructure system
- Strong experience with cloud systems, distributed systems, or high-scale infrastructure
- Founder, co-founder, CTO, or founding engineer experience
- Experience building zero-to-one infrastructure or platforms
- Experience owning critical production systems at scale
- Experience with AWS or GCP
- Experience with Kubernetes
- Experience managing high-throughput systems, GPU workloads, or large-scale data pipelines
- Experience operating real systems in production with real users
- Exceptional open-source or systems work demonstrating strong technical ability
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